Renaissance Alliance Insurance Services, LLC
Wellesley, MA, USA or Chicago, IL, USA
Renaissance Alliance provides technology, business services, and market access to independent agencies in New England. The company controls ~$600M in property & casualty insurance premiums across personal and commercial products. The company was recently the recipient of a significant investment and has aggressive growth goals in the coming years.
Renaissance has a unique data asset that includes insurance transactional and risk data with vast opportunities for value creation. Renaissance seeks a data scientist that can expand on the existing assets by augmenting the company’s data environment and creating the foundation on which the data can be used to create value for the company and its business partners.
We are looking for a full-time data science lead to report to the Chief Technology Officer, but we are open to a short-term initial engagement with potential for a long-term employment opportunity.
Education and/or Experience
2+ years of data science experience; preferred candidate has had experience building a data environment in a fast-paced environment
Master’s Degree in Data Science preferred
Experience working with insurance industry data is preferred
Ideal candidate has experience in both back-end programming and front-end delivery (i.e., dashboard and app development)
Essential Duties and Responsibilities
Will include the following. Other duties may be assigned as needed.
Quickly assess existing complex data assets, develop a long-term data management strategy, make data more readily accessible to the business
Provide a perspective on how the data set can be improved overtime and recommendations to enhance the value going forward
Infer business insights from complex data-sets, create new fields from input data (summary functions, case statements, regular expressions, etc.)
Build, deploy, and maintain data dashboards and insights that can be delivered to our business partners
Leverage agile and iterative delivery to build MVPs quickly
Understand the strategic objectives of the company and how data can play a role in achieving those objectives
Help drive the technology agenda of the company, reporting to the Chief Technology Officer
Supervisory Responsibilities
While this role has no direct supervisory responsibilities at first, the ability to collaborate across the organization will be critical. Ideal candidate will be able to build and manage a team as the company grows.
Competencies
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
Technical Skills - Fluent in a wide range of statistical computing and data mining tools (e.g., R, Python, etc.); experience with SQL Server; experience with data visualization tools such as PowerBI, Tableau, d3.js, etc.; experience building dashboards and simple apps.
Adaptability - Adapts to changes in the work environment; manages competing demands; changes approach or method to best fit situation; able to deal with change, delays, or unexpected events.
Communication Skills - Ability to communicate effectively with executives, managers, vendors, and in group or team settings; ability to respond to requests quickly.
Learning, Growth & Development - Assesses own strengths and weaknesses; pursues training and development opportunities; volunteers readily; undertakes self-development activities; asks for and offers help when needed; commits to long hours of work if necessary to reach goals; measures self against standard of excellence.
Process Quality - Demonstrates accuracy and thoroughness; looks for ways to improve and promote quality; applies feedback to improve performance; monitors own work to ensure quality; meets productivity standards; completes work in timely manner; strives to increase productivity; prioritizes and plans work activities; uses time efficiently; sets goals and objectives; develops realistic action plans; anticipates potential problems and takes steps to resolve.
Problem Solving - Identifies and resolves problems in a timely manner; works well in group problem solving situations.
Teamwork - Balances team and individual responsibilities; exhibits objectivity and openness to others' views; gives and welcomes feedback.
Sep 25, 2018
Full-time
Renaissance Alliance provides technology, business services, and market access to independent agencies in New England. The company controls ~$600M in property & casualty insurance premiums across personal and commercial products. The company was recently the recipient of a significant investment and has aggressive growth goals in the coming years.
Renaissance has a unique data asset that includes insurance transactional and risk data with vast opportunities for value creation. Renaissance seeks a data scientist that can expand on the existing assets by augmenting the company’s data environment and creating the foundation on which the data can be used to create value for the company and its business partners.
We are looking for a full-time data science lead to report to the Chief Technology Officer, but we are open to a short-term initial engagement with potential for a long-term employment opportunity.
Education and/or Experience
2+ years of data science experience; preferred candidate has had experience building a data environment in a fast-paced environment
Master’s Degree in Data Science preferred
Experience working with insurance industry data is preferred
Ideal candidate has experience in both back-end programming and front-end delivery (i.e., dashboard and app development)
Essential Duties and Responsibilities
Will include the following. Other duties may be assigned as needed.
Quickly assess existing complex data assets, develop a long-term data management strategy, make data more readily accessible to the business
Provide a perspective on how the data set can be improved overtime and recommendations to enhance the value going forward
Infer business insights from complex data-sets, create new fields from input data (summary functions, case statements, regular expressions, etc.)
Build, deploy, and maintain data dashboards and insights that can be delivered to our business partners
Leverage agile and iterative delivery to build MVPs quickly
Understand the strategic objectives of the company and how data can play a role in achieving those objectives
Help drive the technology agenda of the company, reporting to the Chief Technology Officer
Supervisory Responsibilities
While this role has no direct supervisory responsibilities at first, the ability to collaborate across the organization will be critical. Ideal candidate will be able to build and manage a team as the company grows.
Competencies
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
Technical Skills - Fluent in a wide range of statistical computing and data mining tools (e.g., R, Python, etc.); experience with SQL Server; experience with data visualization tools such as PowerBI, Tableau, d3.js, etc.; experience building dashboards and simple apps.
Adaptability - Adapts to changes in the work environment; manages competing demands; changes approach or method to best fit situation; able to deal with change, delays, or unexpected events.
Communication Skills - Ability to communicate effectively with executives, managers, vendors, and in group or team settings; ability to respond to requests quickly.
Learning, Growth & Development - Assesses own strengths and weaknesses; pursues training and development opportunities; volunteers readily; undertakes self-development activities; asks for and offers help when needed; commits to long hours of work if necessary to reach goals; measures self against standard of excellence.
Process Quality - Demonstrates accuracy and thoroughness; looks for ways to improve and promote quality; applies feedback to improve performance; monitors own work to ensure quality; meets productivity standards; completes work in timely manner; strives to increase productivity; prioritizes and plans work activities; uses time efficiently; sets goals and objectives; develops realistic action plans; anticipates potential problems and takes steps to resolve.
Problem Solving - Identifies and resolves problems in a timely manner; works well in group problem solving situations.
Teamwork - Balances team and individual responsibilities; exhibits objectivity and openness to others' views; gives and welcomes feedback.
“We make magic.” That’s our motto at Walt Disney Parks and Resorts. And it permeates everything we do. At Disney, you’ll help inspire that magic by enabling our teams to push the limits of entertainment and create the never-before-seen! Consumer Insights, Measurement, & Analytics (CIMA) is a Global Marketing & Sales organization within Walt Disney Parks & Resorts that informs strategy development and decision-making through actionable data analytics, integration and insights. The goal is to drive consumer centric decision-making through deep understanding of the consumer and guest. This role provides support to Disneyland Resort Marketing Strategy and Sales. This person will be responsible for translating consumer knowledge and data into actionable insight to drive segment goals, opportunities, strategies, products, experiences and communications.
MBA or Masters in relevant area preferred
Bachelor’s degree or equivalent – relevant areas include Behavioral Economics, Psychology, Sociology, Cultural Anthropology, Business Economics, Cognitive Science, Neuropsychology, etc.
Knowledge and use of statistical software (SPSS/SAS) Comfortable sharing a point of view and advocating for consumers Ability to partner and work well with various levels of the organization Ability to manage a team of multiple people Strong work ethic, a resilient attitude and high intellectual curiosity Minimum three to five years relevant experience in a related field (e.g. marketing/sales, market research, business analytics, strategic planning, new product development, etc.) Experience in project management Demonstrated experience in quantitative, qualitative research and statistical/analytical techniques Demonstrated analytical and critical thinking skills Flexible and nimble - can adapt to changing priorities Solid communication skills (verbal, written, presentation) Demonstrated expertise in use of Excel and presentation software such as PowerPoint or Keynote Strong attention to detail within context to the business goals Ability to interpret information to articulate a clear, compelling story to identify business opportunities Critical interpretation of data, mining and synthesis, and compelling communication skills are required to actively collaborate with partners to solve business challenges. This person will need to effectively handle multiple assignments at once, across varied partner groups and complex businesses in a fast paced, dynamic environment. Put Your Skills to the Test - Mine and analyze data using various statistical techniques. Interpret information to provide objective, clear and actionable insight. Exercise leadership - Support and lead consumer insight projects. Design research studies, in partnership with leader, applying appropriate methodological techniques to address business needs. Develop questionnaires / discussion guides, with guidance from leader, that provide a platform for key insight and actionable results. Collaborate with key partners - Foster relationships with internal partners and external vendors, managing specific work-streams under supervision of leader. Tell the story - Partnering with leader, communicate findings in a clear and compelling way. Required Education : Bachelor’s degree or equivalent – relevant areas include Behavioral Economics, Psychology, Sociology, Cultural Anthropology, Business Economics, Cognitive Science, Neuropsychology, etc. Preferred Education : Minimum three to five years relevant experience in a related field (e.g. marketing/sales, market research, business analytics, strategic planning, new product development, etc.) Experience in project management Demonstrated experience in quantitative, qualitative research and statistical/analytical techniques Demonstrated analytical and critical thinking skills Flexible and nimble - can adapt to changing priorities Solid communication skills (verbal, written, presentation) Demonstrated expertise in use of Excel and presentation software such as PowerPoint or Keynote Strong attention to detail within context to the business goals Ability to interpret information to articulate a clear, compelling story to identify business opportunities Company Overview : Data
Oct 21, 2018
Full-time
“We make magic.” That’s our motto at Walt Disney Parks and Resorts. And it permeates everything we do. At Disney, you’ll help inspire that magic by enabling our teams to push the limits of entertainment and create the never-before-seen! Consumer Insights, Measurement, & Analytics (CIMA) is a Global Marketing & Sales organization within Walt Disney Parks & Resorts that informs strategy development and decision-making through actionable data analytics, integration and insights. The goal is to drive consumer centric decision-making through deep understanding of the consumer and guest. This role provides support to Disneyland Resort Marketing Strategy and Sales. This person will be responsible for translating consumer knowledge and data into actionable insight to drive segment goals, opportunities, strategies, products, experiences and communications.
MBA or Masters in relevant area preferred
Bachelor’s degree or equivalent – relevant areas include Behavioral Economics, Psychology, Sociology, Cultural Anthropology, Business Economics, Cognitive Science, Neuropsychology, etc.
Knowledge and use of statistical software (SPSS/SAS) Comfortable sharing a point of view and advocating for consumers Ability to partner and work well with various levels of the organization Ability to manage a team of multiple people Strong work ethic, a resilient attitude and high intellectual curiosity Minimum three to five years relevant experience in a related field (e.g. marketing/sales, market research, business analytics, strategic planning, new product development, etc.) Experience in project management Demonstrated experience in quantitative, qualitative research and statistical/analytical techniques Demonstrated analytical and critical thinking skills Flexible and nimble - can adapt to changing priorities Solid communication skills (verbal, written, presentation) Demonstrated expertise in use of Excel and presentation software such as PowerPoint or Keynote Strong attention to detail within context to the business goals Ability to interpret information to articulate a clear, compelling story to identify business opportunities Critical interpretation of data, mining and synthesis, and compelling communication skills are required to actively collaborate with partners to solve business challenges. This person will need to effectively handle multiple assignments at once, across varied partner groups and complex businesses in a fast paced, dynamic environment. Put Your Skills to the Test - Mine and analyze data using various statistical techniques. Interpret information to provide objective, clear and actionable insight. Exercise leadership - Support and lead consumer insight projects. Design research studies, in partnership with leader, applying appropriate methodological techniques to address business needs. Develop questionnaires / discussion guides, with guidance from leader, that provide a platform for key insight and actionable results. Collaborate with key partners - Foster relationships with internal partners and external vendors, managing specific work-streams under supervision of leader. Tell the story - Partnering with leader, communicate findings in a clear and compelling way. Required Education : Bachelor’s degree or equivalent – relevant areas include Behavioral Economics, Psychology, Sociology, Cultural Anthropology, Business Economics, Cognitive Science, Neuropsychology, etc. Preferred Education : Minimum three to five years relevant experience in a related field (e.g. marketing/sales, market research, business analytics, strategic planning, new product development, etc.) Experience in project management Demonstrated experience in quantitative, qualitative research and statistical/analytical techniques Demonstrated analytical and critical thinking skills Flexible and nimble - can adapt to changing priorities Solid communication skills (verbal, written, presentation) Demonstrated expertise in use of Excel and presentation software such as PowerPoint or Keynote Strong attention to detail within context to the business goals Ability to interpret information to articulate a clear, compelling story to identify business opportunities Company Overview : Data
“We make magic.” That’s our motto at Walt Disney Parks and Resorts. And it permeates everything we do. At Disney, you’ll help inspire that magic by enabling our teams to push the limits of entertainment and create the never-before-seen! Consumer Insights, Measurement, & Analytics (CIMA) is a Global Marketing & Sales organization within Walt Disney Parks & Resorts that informs strategy development and decision-making through actionable data analytics, integration and insights. The goal is to drive consumer centric decision-making through deep understanding of the consumer and guest. This role provides support to Disneyland Resort Marketing Strategy and Sales. This person will be responsible for translating consumer knowledge and data into actionable insight to drive segment goals, opportunities, strategies, products, experiences and communications.
MBA or Masters in relevant area preferred
Bachelor’s degree or equivalent – relevant areas include Behavioral Economics, Psychology, Sociology, Cultural Anthropology, Business Economics, Cognitive Science, Neuropsychology, etc.
Knowledge and use of statistical software (SPSS/SAS) Comfortable sharing a point of view and advocating for consumers Ability to partner and work well with various levels of the organization Ability to manage a team of multiple people Strong work ethic, a resilient attitude and high intellectual curiosity Minimum three to five years relevant experience in a related field (e.g. marketing/sales, market research, business analytics, strategic planning, new product development, etc.) Experience in project management Demonstrated experience in quantitative, qualitative research and statistical/analytical techniques Demonstrated analytical and critical thinking skills Flexible and nimble - can adapt to changing priorities Solid communication skills (verbal, written, presentation) Demonstrated expertise in use of Excel and presentation software such as PowerPoint or Keynote Strong attention to detail within context to the business goals Ability to interpret information to articulate a clear, compelling story to identify business opportunities Critical interpretation of data, mining and synthesis, and compelling communication skills are required to actively collaborate with partners to solve business challenges. This person will need to effectively handle multiple assignments at once, across varied partner groups and complex businesses in a fast paced, dynamic environment. Put Your Skills to the Test - Mine and analyze data using various statistical techniques. Interpret information to provide objective, clear and actionable insight. Exercise leadership - Support and lead consumer insight projects. Design research studies, in partnership with leader, applying appropriate methodological techniques to address business needs. Develop questionnaires / discussion guides, with guidance from leader, that provide a platform for key insight and actionable results. Collaborate with key partners - Foster relationships with internal partners and external vendors, managing specific work-streams under supervision of leader. Tell the story - Partnering with leader, communicate findings in a clear and compelling way. Required Education : Bachelor’s degree or equivalent – relevant areas include Behavioral Economics, Psychology, Sociology, Cultural Anthropology, Business Economics, Cognitive Science, Neuropsychology, etc. Preferred Education : Minimum three to five years relevant experience in a related field (e.g. marketing/sales, market research, business analytics, strategic planning, new product development, etc.) Experience in project management Demonstrated experience in quantitative, qualitative research and statistical/analytical techniques Demonstrated analytical and critical thinking skills Flexible and nimble - can adapt to changing priorities Solid communication skills (verbal, written, presentation) Demonstrated expertise in use of Excel and presentation software such as PowerPoint or Keynote Strong attention to detail within context to the business goals Ability to interpret information to articulate a clear, compelling story to identify business opportunities Company Overview : Data
Oct 21, 2018
Full-time
“We make magic.” That’s our motto at Walt Disney Parks and Resorts. And it permeates everything we do. At Disney, you’ll help inspire that magic by enabling our teams to push the limits of entertainment and create the never-before-seen! Consumer Insights, Measurement, & Analytics (CIMA) is a Global Marketing & Sales organization within Walt Disney Parks & Resorts that informs strategy development and decision-making through actionable data analytics, integration and insights. The goal is to drive consumer centric decision-making through deep understanding of the consumer and guest. This role provides support to Disneyland Resort Marketing Strategy and Sales. This person will be responsible for translating consumer knowledge and data into actionable insight to drive segment goals, opportunities, strategies, products, experiences and communications.
MBA or Masters in relevant area preferred
Bachelor’s degree or equivalent – relevant areas include Behavioral Economics, Psychology, Sociology, Cultural Anthropology, Business Economics, Cognitive Science, Neuropsychology, etc.
Knowledge and use of statistical software (SPSS/SAS) Comfortable sharing a point of view and advocating for consumers Ability to partner and work well with various levels of the organization Ability to manage a team of multiple people Strong work ethic, a resilient attitude and high intellectual curiosity Minimum three to five years relevant experience in a related field (e.g. marketing/sales, market research, business analytics, strategic planning, new product development, etc.) Experience in project management Demonstrated experience in quantitative, qualitative research and statistical/analytical techniques Demonstrated analytical and critical thinking skills Flexible and nimble - can adapt to changing priorities Solid communication skills (verbal, written, presentation) Demonstrated expertise in use of Excel and presentation software such as PowerPoint or Keynote Strong attention to detail within context to the business goals Ability to interpret information to articulate a clear, compelling story to identify business opportunities Critical interpretation of data, mining and synthesis, and compelling communication skills are required to actively collaborate with partners to solve business challenges. This person will need to effectively handle multiple assignments at once, across varied partner groups and complex businesses in a fast paced, dynamic environment. Put Your Skills to the Test - Mine and analyze data using various statistical techniques. Interpret information to provide objective, clear and actionable insight. Exercise leadership - Support and lead consumer insight projects. Design research studies, in partnership with leader, applying appropriate methodological techniques to address business needs. Develop questionnaires / discussion guides, with guidance from leader, that provide a platform for key insight and actionable results. Collaborate with key partners - Foster relationships with internal partners and external vendors, managing specific work-streams under supervision of leader. Tell the story - Partnering with leader, communicate findings in a clear and compelling way. Required Education : Bachelor’s degree or equivalent – relevant areas include Behavioral Economics, Psychology, Sociology, Cultural Anthropology, Business Economics, Cognitive Science, Neuropsychology, etc. Preferred Education : Minimum three to five years relevant experience in a related field (e.g. marketing/sales, market research, business analytics, strategic planning, new product development, etc.) Experience in project management Demonstrated experience in quantitative, qualitative research and statistical/analytical techniques Demonstrated analytical and critical thinking skills Flexible and nimble - can adapt to changing priorities Solid communication skills (verbal, written, presentation) Demonstrated expertise in use of Excel and presentation software such as PowerPoint or Keynote Strong attention to detail within context to the business goals Ability to interpret information to articulate a clear, compelling story to identify business opportunities Company Overview : Data
Consumer Insight, Measurement & Analytics (CIMA) is a part of Disney Parks, Experiences and Consumer Products and is a center of excellence leading strategy development and decision making through actionable data analytics, integration, and insights. Within CIMA, the Digital and Travel Operations Analytics (DTOA) team is focused on leveraging best practices in analytics to capture, analyze, and optimize our owned channels (digital/contact center) to drive Guest satisfaction and business outcomes. The Performance Analyst provides measurement and analytical support for Contact Centers and pre‑arrival Walt Disney World Commerce. The role frequently engages in forecasting, scenario analysis, ad hoc business case work, as well as providing analytical support to the local operation and partners across the division. This includes development, administration, measurement, and analytics. In order to succeed in the role, the Performance Analyst must possess a great attention to detail, passion and curiosity to understand the “why” behind performance, and ability to create and support a story based on quantitative findings.
Graduate degree in an analytical/quantitative field or equivalent Bachelor’s degree in Industrial Engineering, Statistics, Mathematics, Marketing, Economics, Finance, or other analytical/quantitative field Experience using forecasting methodologies (including ARIMA) Demonstrated ability to apply statistical rigor to analyses (significance testing, regressions) Demonstrated proficiency visually telling a story via Tableau or other data visualization tools Ability to excel in a fast-paced, complex, and ambiguous business environment Ability to quickly adapt and learn new programs and skills Ability to provide clear communication (verbal, written, and visual) Ability to maintain and grow relationships with partners/clients/team Proactive curiosity to understand the “Why” behind performance, decisions, etc. Strong attention to detail Demonstrated passion for data exploration and analysis Demonstrated strong analytical skills Proficiency with reporting and analytical tools such as SQL, SAS/R, and/or Python
Responsibilities include, but are not limited to: Agent Performance and Variable Pay Build, maintain, optimize, and audit files used to process numerous programs Provide forecasting support, ad hoc modeling, and deep dive analysis Prepare and present performance and recommendations to Senior Leadership Measurement and Analytics Leverage multiple reporting systems and databases to generate actionable insights Build and maintain recurring reports using various systems (Tableau, Teradata, Hadoop, Excel, etc.) Interpret and measure the impact of business actions, including process and product enhancements Provide quantitative analysis and recommendations to partners/leadership on day-to-day business questions Collaborate and share knowledge and best practices Required Education : Bachelor’s degree in Industrial Engineering, Statistics, Mathematics, Marketing, Economics, Finance, or other analytical/quantitative field Preferred Education : Ability to excel in a fast-paced, complex, and ambiguous business environment Ability to quickly adapt and learn new programs and skills Ability to provide clear communication (verbal, written, and visual) Ability to maintain and grow relationships with partners/clients/team Proactive curiosity to understand the “Why” behind performance, decisions, etc. Strong attention to detail Demonstrated passion for data exploration and analysis Demonstrated strong analytical skills Proficiency with reporting and analytical tools such as SQL, SAS/R, and/or Python Company Overview : Data
Oct 20, 2018
Full-time
Consumer Insight, Measurement & Analytics (CIMA) is a part of Disney Parks, Experiences and Consumer Products and is a center of excellence leading strategy development and decision making through actionable data analytics, integration, and insights. Within CIMA, the Digital and Travel Operations Analytics (DTOA) team is focused on leveraging best practices in analytics to capture, analyze, and optimize our owned channels (digital/contact center) to drive Guest satisfaction and business outcomes. The Performance Analyst provides measurement and analytical support for Contact Centers and pre‑arrival Walt Disney World Commerce. The role frequently engages in forecasting, scenario analysis, ad hoc business case work, as well as providing analytical support to the local operation and partners across the division. This includes development, administration, measurement, and analytics. In order to succeed in the role, the Performance Analyst must possess a great attention to detail, passion and curiosity to understand the “why” behind performance, and ability to create and support a story based on quantitative findings.
Graduate degree in an analytical/quantitative field or equivalent Bachelor’s degree in Industrial Engineering, Statistics, Mathematics, Marketing, Economics, Finance, or other analytical/quantitative field Experience using forecasting methodologies (including ARIMA) Demonstrated ability to apply statistical rigor to analyses (significance testing, regressions) Demonstrated proficiency visually telling a story via Tableau or other data visualization tools Ability to excel in a fast-paced, complex, and ambiguous business environment Ability to quickly adapt and learn new programs and skills Ability to provide clear communication (verbal, written, and visual) Ability to maintain and grow relationships with partners/clients/team Proactive curiosity to understand the “Why” behind performance, decisions, etc. Strong attention to detail Demonstrated passion for data exploration and analysis Demonstrated strong analytical skills Proficiency with reporting and analytical tools such as SQL, SAS/R, and/or Python
Responsibilities include, but are not limited to: Agent Performance and Variable Pay Build, maintain, optimize, and audit files used to process numerous programs Provide forecasting support, ad hoc modeling, and deep dive analysis Prepare and present performance and recommendations to Senior Leadership Measurement and Analytics Leverage multiple reporting systems and databases to generate actionable insights Build and maintain recurring reports using various systems (Tableau, Teradata, Hadoop, Excel, etc.) Interpret and measure the impact of business actions, including process and product enhancements Provide quantitative analysis and recommendations to partners/leadership on day-to-day business questions Collaborate and share knowledge and best practices Required Education : Bachelor’s degree in Industrial Engineering, Statistics, Mathematics, Marketing, Economics, Finance, or other analytical/quantitative field Preferred Education : Ability to excel in a fast-paced, complex, and ambiguous business environment Ability to quickly adapt and learn new programs and skills Ability to provide clear communication (verbal, written, and visual) Ability to maintain and grow relationships with partners/clients/team Proactive curiosity to understand the “Why” behind performance, decisions, etc. Strong attention to detail Demonstrated passion for data exploration and analysis Demonstrated strong analytical skills Proficiency with reporting and analytical tools such as SQL, SAS/R, and/or Python Company Overview : Data
Consumer Insight, Measurement & Analytics (CIMA) is a part of Disney Parks, Experiences and Consumer Products and is a center of excellence leading strategy development and decision making through actionable data analytics, integration, and insights. Within CIMA, the Digital and Travel Operations Analytics (DTOA) team is focused on leveraging best practices in analytics to capture, analyze, and optimize our owned channels (digital/contact center) to drive Guest satisfaction and business outcomes. The Performance Analyst provides measurement and analytical support for Contact Centers and pre‑arrival Walt Disney World Commerce. The role frequently engages in forecasting, scenario analysis, ad hoc business case work, as well as providing analytical support to the local operation and partners across the division. This includes development, administration, measurement, and analytics. In order to succeed in the role, the Performance Analyst must possess a great attention to detail, passion and curiosity to understand the “why” behind performance, and ability to create and support a story based on quantitative findings.
Graduate degree in an analytical/quantitative field or equivalent Bachelor’s degree in Industrial Engineering, Statistics, Mathematics, Marketing, Economics, Finance, or other analytical/quantitative field Experience using forecasting methodologies (including ARIMA) Demonstrated ability to apply statistical rigor to analyses (significance testing, regressions) Demonstrated proficiency visually telling a story via Tableau or other data visualization tools Ability to excel in a fast-paced, complex, and ambiguous business environment Ability to quickly adapt and learn new programs and skills Ability to provide clear communication (verbal, written, and visual) Ability to maintain and grow relationships with partners/clients/team Proactive curiosity to understand the “Why” behind performance, decisions, etc. Strong attention to detail Demonstrated passion for data exploration and analysis Demonstrated strong analytical skills Proficiency with reporting and analytical tools such as SQL, SAS/R, and/or Python
Responsibilities include, but are not limited to: Agent Performance and Variable Pay Build, maintain, optimize, and audit files used to process numerous programs Provide forecasting support, ad hoc modeling, and deep dive analysis Prepare and present performance and recommendations to Senior Leadership Measurement and Analytics Leverage multiple reporting systems and databases to generate actionable insights Build and maintain recurring reports using various systems (Tableau, Teradata, Hadoop, Excel, etc.) Interpret and measure the impact of business actions, including process and product enhancements Provide quantitative analysis and recommendations to partners/leadership on day-to-day business questions Collaborate and share knowledge and best practices Required Education : Bachelor’s degree in Industrial Engineering, Statistics, Mathematics, Marketing, Economics, Finance, or other analytical/quantitative field Preferred Education : Ability to excel in a fast-paced, complex, and ambiguous business environment Ability to quickly adapt and learn new programs and skills Ability to provide clear communication (verbal, written, and visual) Ability to maintain and grow relationships with partners/clients/team Proactive curiosity to understand the “Why” behind performance, decisions, etc. Strong attention to detail Demonstrated passion for data exploration and analysis Demonstrated strong analytical skills Proficiency with reporting and analytical tools such as SQL, SAS/R, and/or Python Company Overview : Data
Oct 20, 2018
Full-time
Consumer Insight, Measurement & Analytics (CIMA) is a part of Disney Parks, Experiences and Consumer Products and is a center of excellence leading strategy development and decision making through actionable data analytics, integration, and insights. Within CIMA, the Digital and Travel Operations Analytics (DTOA) team is focused on leveraging best practices in analytics to capture, analyze, and optimize our owned channels (digital/contact center) to drive Guest satisfaction and business outcomes. The Performance Analyst provides measurement and analytical support for Contact Centers and pre‑arrival Walt Disney World Commerce. The role frequently engages in forecasting, scenario analysis, ad hoc business case work, as well as providing analytical support to the local operation and partners across the division. This includes development, administration, measurement, and analytics. In order to succeed in the role, the Performance Analyst must possess a great attention to detail, passion and curiosity to understand the “why” behind performance, and ability to create and support a story based on quantitative findings.
Graduate degree in an analytical/quantitative field or equivalent Bachelor’s degree in Industrial Engineering, Statistics, Mathematics, Marketing, Economics, Finance, or other analytical/quantitative field Experience using forecasting methodologies (including ARIMA) Demonstrated ability to apply statistical rigor to analyses (significance testing, regressions) Demonstrated proficiency visually telling a story via Tableau or other data visualization tools Ability to excel in a fast-paced, complex, and ambiguous business environment Ability to quickly adapt and learn new programs and skills Ability to provide clear communication (verbal, written, and visual) Ability to maintain and grow relationships with partners/clients/team Proactive curiosity to understand the “Why” behind performance, decisions, etc. Strong attention to detail Demonstrated passion for data exploration and analysis Demonstrated strong analytical skills Proficiency with reporting and analytical tools such as SQL, SAS/R, and/or Python
Responsibilities include, but are not limited to: Agent Performance and Variable Pay Build, maintain, optimize, and audit files used to process numerous programs Provide forecasting support, ad hoc modeling, and deep dive analysis Prepare and present performance and recommendations to Senior Leadership Measurement and Analytics Leverage multiple reporting systems and databases to generate actionable insights Build and maintain recurring reports using various systems (Tableau, Teradata, Hadoop, Excel, etc.) Interpret and measure the impact of business actions, including process and product enhancements Provide quantitative analysis and recommendations to partners/leadership on day-to-day business questions Collaborate and share knowledge and best practices Required Education : Bachelor’s degree in Industrial Engineering, Statistics, Mathematics, Marketing, Economics, Finance, or other analytical/quantitative field Preferred Education : Ability to excel in a fast-paced, complex, and ambiguous business environment Ability to quickly adapt and learn new programs and skills Ability to provide clear communication (verbal, written, and visual) Ability to maintain and grow relationships with partners/clients/team Proactive curiosity to understand the “Why” behind performance, decisions, etc. Strong attention to detail Demonstrated passion for data exploration and analysis Demonstrated strong analytical skills Proficiency with reporting and analytical tools such as SQL, SAS/R, and/or Python Company Overview : Data
BAMTECH Media is a place for the creative and the bold. We’re seeking talent across disciplines to join our team. Whether New York City, San Francisco, Manchester or Amsterdam we provide opportunities to elevate your career and transform an industry. BAMTECH Media’s Database Engineering team is looking for talented Sr. Database Engineers of both MySQL and Postgres disciplines. You will play a key role in defining and executing our cloud database strategy. You will be responsible for developing database automation, designing complex replication networks interfacing with data pipelines to moving data between disparate applications to support our Data Engineering and Data Science teams. Passion for data and technology 5+ years of database engineering experience 3+ years of production experience in MySQL or Postgres database support, tuning and replication 1+ year of experience in AWS environment Strong SQL and data modeling background Working knowledge of shell scripting and Python Experience with automation tools such as Puppet, Chef, Ansible Exposure to NoSQL databases such as Couchbase, Elasticsearch, Cassandra, etc. Experience with continuous integration tools such as: Jenkins, Liquibase, Flyway, etc. Excellent communication skills Design/build/maintain different database solutions Partner with the engineering team to performance tune and enhance their apps Replication building on a global and multi-regional scale Build and support automation of database delivery in cloud environment Cross-functional data integration efforts, both upstream and downstream Coordinate with multiple data partners and stakeholders across the company to develop and optimize processes to meet growing business needs Preferred Education : Passion for data and technology 5+ years of database engineering experience 3+ years of production experience in MySQL or Postgres database support, tuning and replication 1+ year of experience in AWS environment Strong SQL and data modeling background Working knowledge of shell scripting and Python Experience with automation tools such as Puppet, Chef, Ansible Exposure to NoSQL databases such as Couchbase, Elasticsearch, Cassandra, etc. Experience with continuous integration tools such as: Jenkins, Liquibase, Flyway, etc. Excellent communication skills Company Overview : Data
Oct 18, 2018
Full-time
BAMTECH Media is a place for the creative and the bold. We’re seeking talent across disciplines to join our team. Whether New York City, San Francisco, Manchester or Amsterdam we provide opportunities to elevate your career and transform an industry. BAMTECH Media’s Database Engineering team is looking for talented Sr. Database Engineers of both MySQL and Postgres disciplines. You will play a key role in defining and executing our cloud database strategy. You will be responsible for developing database automation, designing complex replication networks interfacing with data pipelines to moving data between disparate applications to support our Data Engineering and Data Science teams. Passion for data and technology 5+ years of database engineering experience 3+ years of production experience in MySQL or Postgres database support, tuning and replication 1+ year of experience in AWS environment Strong SQL and data modeling background Working knowledge of shell scripting and Python Experience with automation tools such as Puppet, Chef, Ansible Exposure to NoSQL databases such as Couchbase, Elasticsearch, Cassandra, etc. Experience with continuous integration tools such as: Jenkins, Liquibase, Flyway, etc. Excellent communication skills Design/build/maintain different database solutions Partner with the engineering team to performance tune and enhance their apps Replication building on a global and multi-regional scale Build and support automation of database delivery in cloud environment Cross-functional data integration efforts, both upstream and downstream Coordinate with multiple data partners and stakeholders across the company to develop and optimize processes to meet growing business needs Preferred Education : Passion for data and technology 5+ years of database engineering experience 3+ years of production experience in MySQL or Postgres database support, tuning and replication 1+ year of experience in AWS environment Strong SQL and data modeling background Working knowledge of shell scripting and Python Experience with automation tools such as Puppet, Chef, Ansible Exposure to NoSQL databases such as Couchbase, Elasticsearch, Cassandra, etc. Experience with continuous integration tools such as: Jenkins, Liquibase, Flyway, etc. Excellent communication skills Company Overview : Data
Consumer Insights, Measurement, & Analytics (CIMA), part of the Walt Disney Parks and Resorts Global Marketing & Sales organization, informs strategy development and decision-making through holistic data integration, objective data analytics, and actionable recommendations. Within CIMA, the Digital Analytics team is focused on leveraging best practices in web analytics to capture data, perform analysis and optimize our websites to drive Guest satisfaction and business outcomes. The Sr. Digital Analyst must possess a passion for analytics and digital technology. He/she will play a critical role in delivering accurate, insightful analysis to drive decision-making throughout the organization. The person must be comfortable working with partner teams, conducting both planned and ad hoc analyses, preparing reports, and communicating insights to a variety of audiences. The position reports to the Manager, Digital Analytics and does not have direct reports.
Bachelor’s degree in analytical/quantitative field – e.g. statistics, economics, mathematics, marketing analytics, engineering, etc. 7+ years web analytics experience. Travel industry and ecommerce experience. Experience with A/B testing and website optimization. Knowledge of statistical testing methodologies. Experience with predictive analytics and digital experience personalization. Proficient in SQL, Hive, SAS and/or other programming languages. 5+ years web analytics experience. Advanced knowledge of Adobe SiteCatalyst/Analytics products. Experience defining website analytics tracking requirements. Demonstrated experience partnering with technical resources to implement mobile app analytics tracking Familiarity with Adobe Mobile SDK 4.x Ability to design tagging strategies and effectively QA analytics tracking on mobile platforms Experience with push and in-app messaging analytics Ability to derive actionable insights from data and effectively guide decision-making. Strong understanding of segmentation and targeting. Ability to excel in a fast-paced, cross-functional environment. Excellent written and verbal communication skills. Proactive problem-solving and critical thinking skills. Ability to manage time effectively and consistently meet deadlines. Ability to distill analysis into concise recommendations and present to management audiences up to an executive level. Proficient in Microsoft Office suite. Proficient with business intelligence tools. Collaborate with business, technology and analytics partners to determine needs and establish data collection requirements. Work with implementation specialists to deploy and maintain accurate website tracking. Develop and maintain reports on web channel performance. Design effective and impactful reports and visualizations for business and technical audiences. Generate insight from site data and communicate opportunities or issues. Leverage analytics to continuously recommend optimization tactics that will improve site performance. Support business unit teams, product management groups and other teams with ad-hoc reporting and in-depth website analysis. Utilize business and analytical expertise to independently perform proactive analysis and solve business problems. Define and execute quality assurance procedures to ensure accuracy of analytical output. Create presentations to highlight analysis and tell the story. Required Education : Bachelor’s degree in analytical/quantitative field – e.g. statistics, economics, mathematics, marketing analytics, engineering, etc. Preferred Education : 5+ years web analytics experience. Advanced knowledge of Adobe SiteCatalyst/Analytics products. Experience defining website analytics tracking requirements. Demonstrated experience partnering with technical resources to implement mobile app analytics tracking Familiarity with Adobe Mobile SDK 4.x Ability to design tagging strategies and effectively QA analytics tracking on mobile platforms Experience with push and in-app messaging analytics Ability to derive actionable insights from data and effectively guide decision-making. Strong understanding of segmentation and targeting. Ability to excel in a fast-paced, cross-functional environment. Excellent written and verbal communication skills. Proactive problem-solving and critical thinking skills. Ability to manage time effectively and consistently meet deadlines. Ability to distill analysis into concise recommendations and present to management audiences up to an executive level. Proficient in Microsoft Office suite. Proficient with business intelligence tools. Company Overview : Data
Oct 18, 2018
Full-time
Consumer Insights, Measurement, & Analytics (CIMA), part of the Walt Disney Parks and Resorts Global Marketing & Sales organization, informs strategy development and decision-making through holistic data integration, objective data analytics, and actionable recommendations. Within CIMA, the Digital Analytics team is focused on leveraging best practices in web analytics to capture data, perform analysis and optimize our websites to drive Guest satisfaction and business outcomes. The Sr. Digital Analyst must possess a passion for analytics and digital technology. He/she will play a critical role in delivering accurate, insightful analysis to drive decision-making throughout the organization. The person must be comfortable working with partner teams, conducting both planned and ad hoc analyses, preparing reports, and communicating insights to a variety of audiences. The position reports to the Manager, Digital Analytics and does not have direct reports.
Bachelor’s degree in analytical/quantitative field – e.g. statistics, economics, mathematics, marketing analytics, engineering, etc. 7+ years web analytics experience. Travel industry and ecommerce experience. Experience with A/B testing and website optimization. Knowledge of statistical testing methodologies. Experience with predictive analytics and digital experience personalization. Proficient in SQL, Hive, SAS and/or other programming languages. 5+ years web analytics experience. Advanced knowledge of Adobe SiteCatalyst/Analytics products. Experience defining website analytics tracking requirements. Demonstrated experience partnering with technical resources to implement mobile app analytics tracking Familiarity with Adobe Mobile SDK 4.x Ability to design tagging strategies and effectively QA analytics tracking on mobile platforms Experience with push and in-app messaging analytics Ability to derive actionable insights from data and effectively guide decision-making. Strong understanding of segmentation and targeting. Ability to excel in a fast-paced, cross-functional environment. Excellent written and verbal communication skills. Proactive problem-solving and critical thinking skills. Ability to manage time effectively and consistently meet deadlines. Ability to distill analysis into concise recommendations and present to management audiences up to an executive level. Proficient in Microsoft Office suite. Proficient with business intelligence tools. Collaborate with business, technology and analytics partners to determine needs and establish data collection requirements. Work with implementation specialists to deploy and maintain accurate website tracking. Develop and maintain reports on web channel performance. Design effective and impactful reports and visualizations for business and technical audiences. Generate insight from site data and communicate opportunities or issues. Leverage analytics to continuously recommend optimization tactics that will improve site performance. Support business unit teams, product management groups and other teams with ad-hoc reporting and in-depth website analysis. Utilize business and analytical expertise to independently perform proactive analysis and solve business problems. Define and execute quality assurance procedures to ensure accuracy of analytical output. Create presentations to highlight analysis and tell the story. Required Education : Bachelor’s degree in analytical/quantitative field – e.g. statistics, economics, mathematics, marketing analytics, engineering, etc. Preferred Education : 5+ years web analytics experience. Advanced knowledge of Adobe SiteCatalyst/Analytics products. Experience defining website analytics tracking requirements. Demonstrated experience partnering with technical resources to implement mobile app analytics tracking Familiarity with Adobe Mobile SDK 4.x Ability to design tagging strategies and effectively QA analytics tracking on mobile platforms Experience with push and in-app messaging analytics Ability to derive actionable insights from data and effectively guide decision-making. Strong understanding of segmentation and targeting. Ability to excel in a fast-paced, cross-functional environment. Excellent written and verbal communication skills. Proactive problem-solving and critical thinking skills. Ability to manage time effectively and consistently meet deadlines. Ability to distill analysis into concise recommendations and present to management audiences up to an executive level. Proficient in Microsoft Office suite. Proficient with business intelligence tools. Company Overview : Data
At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. The Senior Manager will be driven to understand the marketing, consumer insights and business applications and value of customer data and will drive cross-company plans aimed at identifying, collecting, processing, creating and distributing meaningful, rich consumer data. The Senior Manager will collaborate with technology partners to design and deliver cost effective, scalable and reliable solutions for a range of business clients including marketers and data scientists.
Master’s degree in computer science / information science / engineering. Bachelor’s degree in computer science, information science engineering and/or other related field of study Experience partnering with technology teams on large scale customer data warehouses and tools a plus Experience and an understanding of a wide variety of analytical processes including, regression, predictive modeling and forecasting Experience with project management, agile development, and strategic roadmap planning. Experience with SAS, R, Python, and/or other analytical tools. Experience with cloud databases, migration to cloud databases, and data lake architectures. Total of 10+ years of progressively increasing responsibility in related roles during which both technical and management capability have been clearly demonstrated. Experience managing the full data product lifecycle encompassing opportunity identification, requirements gathering, design, development, execution and sunsetting Experience managing technology investments and costs related to vendor solutions as well as internal technical development investments 5+ years of experience managing data analysts, BI developers, and/or data scientists. Expertise in writing SQL queries against large data sets. Extensive expertise and/or demonstrated experience with databases, business intelligence tools, reporting, analytical environments, data management and warehousing, and the strategic use of information. Knowledgeable in how data assets are used in marketing, consumer strategy, reporting, analytical functions. Experience with large scale, multi-terabyte level data solutions supporting a range of business models including direct-to-consumer marketing, digital media and retail. Expertise in understanding business needs (including drawing out those unstated), and then meeting them with data solutions. Excellent interpersonal skills working with customers and engineers; equally credible with individual contributors and executives. Experience in a business environment where complex data acquisition and integration were successfully woven into operational excellence. Ability to establish and articulate a vision, set goals, develop and execute strategies, and track and measure results. Ability to manage complexity well and demonstrated experience managing across functions and businesses to accomplish large scale goals. Ability to synthesize diverse requirements and communicate them to different audiences (both technical and non-technical). Lead center of excellence data service team providing support to enterprise marketing initiatives and business unit personalization needs including mentoring and managing data quality, data analysis and BI developer team of 3 direct reports Work with technology partners to prioritize enterprise data warehouse initiatives related to the creation and management of central customer profiles across Disney’s first party digital and offline touch points. Identify key raw data attributes across Disney business unit systems to solve for or complement existing and future business use cases. Work with internal and external stakeholders to showcase and leverage key data assets available in the enterprise data warehouse. Collaborate with Legal, Compliance, and IT to implement data governance solutions for sensitive consumer data, financial data, international data, and VPPA compliance. Lead business requirements in support of migration of current on premise data warehouse to a cloud-based, data lake architecture solution. Participate in various customer analytics and data capability RFPs including customer data integration, cloud database solutions, and master data management solutions. Drive cost-effective data solutions including leading build-versus-buy, automation development, vendor services evaluation and business value rationalization efforts. Required Education : Bachelor’s degree in computer science, information science engineering and/or other related field of study Preferred Education : Total of 10+ years of progressively increasing responsibility in related roles during which both technical and management capability have been clearly demonstrated. Experience managing the full data product lifecycle encompassing opportunity identification, requirements gathering, design, development, execution and sunsetting Experience managing technology investments and costs related to vendor solutions as well as internal technical development investments 5+ years of experience managing data analysts, BI developers, and/or data scientists. Expertise in writing SQL queries against large data sets. Extensive expertise and/or demonstrated experience with databases, business intelligence tools, reporting, analytical environments, data management and warehousing, and the strategic use of information. Knowledgeable in how data assets are used in marketing, consumer strategy, reporting, analytical functions. Experience with large scale, multi-terabyte level data solutions supporting a range of business models including direct-to-consumer marketing, digital media and retail. Expertise in understanding business needs (including drawing out those unstated), and then meeting them with data solutions. Excellent interpersonal skills working with customers and engineers; equally credible with individual contributors and executives. Experience in a business environment where complex data acquisition and integration were successfully woven into operational excellence. Ability to establish and articulate a vision, set goals, develop and execute strategies, and track and measure results. Ability to manage complexity well and demonstrated experience managing across functions and businesses to accomplish large scale goals. Ability to synthesize diverse requirements and communicate them to different audiences (both technical and non-technical). Company Overview : Data
Oct 18, 2018
Full-time
At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. The Senior Manager will be driven to understand the marketing, consumer insights and business applications and value of customer data and will drive cross-company plans aimed at identifying, collecting, processing, creating and distributing meaningful, rich consumer data. The Senior Manager will collaborate with technology partners to design and deliver cost effective, scalable and reliable solutions for a range of business clients including marketers and data scientists.
Master’s degree in computer science / information science / engineering. Bachelor’s degree in computer science, information science engineering and/or other related field of study Experience partnering with technology teams on large scale customer data warehouses and tools a plus Experience and an understanding of a wide variety of analytical processes including, regression, predictive modeling and forecasting Experience with project management, agile development, and strategic roadmap planning. Experience with SAS, R, Python, and/or other analytical tools. Experience with cloud databases, migration to cloud databases, and data lake architectures. Total of 10+ years of progressively increasing responsibility in related roles during which both technical and management capability have been clearly demonstrated. Experience managing the full data product lifecycle encompassing opportunity identification, requirements gathering, design, development, execution and sunsetting Experience managing technology investments and costs related to vendor solutions as well as internal technical development investments 5+ years of experience managing data analysts, BI developers, and/or data scientists. Expertise in writing SQL queries against large data sets. Extensive expertise and/or demonstrated experience with databases, business intelligence tools, reporting, analytical environments, data management and warehousing, and the strategic use of information. Knowledgeable in how data assets are used in marketing, consumer strategy, reporting, analytical functions. Experience with large scale, multi-terabyte level data solutions supporting a range of business models including direct-to-consumer marketing, digital media and retail. Expertise in understanding business needs (including drawing out those unstated), and then meeting them with data solutions. Excellent interpersonal skills working with customers and engineers; equally credible with individual contributors and executives. Experience in a business environment where complex data acquisition and integration were successfully woven into operational excellence. Ability to establish and articulate a vision, set goals, develop and execute strategies, and track and measure results. Ability to manage complexity well and demonstrated experience managing across functions and businesses to accomplish large scale goals. Ability to synthesize diverse requirements and communicate them to different audiences (both technical and non-technical). Lead center of excellence data service team providing support to enterprise marketing initiatives and business unit personalization needs including mentoring and managing data quality, data analysis and BI developer team of 3 direct reports Work with technology partners to prioritize enterprise data warehouse initiatives related to the creation and management of central customer profiles across Disney’s first party digital and offline touch points. Identify key raw data attributes across Disney business unit systems to solve for or complement existing and future business use cases. Work with internal and external stakeholders to showcase and leverage key data assets available in the enterprise data warehouse. Collaborate with Legal, Compliance, and IT to implement data governance solutions for sensitive consumer data, financial data, international data, and VPPA compliance. Lead business requirements in support of migration of current on premise data warehouse to a cloud-based, data lake architecture solution. Participate in various customer analytics and data capability RFPs including customer data integration, cloud database solutions, and master data management solutions. Drive cost-effective data solutions including leading build-versus-buy, automation development, vendor services evaluation and business value rationalization efforts. Required Education : Bachelor’s degree in computer science, information science engineering and/or other related field of study Preferred Education : Total of 10+ years of progressively increasing responsibility in related roles during which both technical and management capability have been clearly demonstrated. Experience managing the full data product lifecycle encompassing opportunity identification, requirements gathering, design, development, execution and sunsetting Experience managing technology investments and costs related to vendor solutions as well as internal technical development investments 5+ years of experience managing data analysts, BI developers, and/or data scientists. Expertise in writing SQL queries against large data sets. Extensive expertise and/or demonstrated experience with databases, business intelligence tools, reporting, analytical environments, data management and warehousing, and the strategic use of information. Knowledgeable in how data assets are used in marketing, consumer strategy, reporting, analytical functions. Experience with large scale, multi-terabyte level data solutions supporting a range of business models including direct-to-consumer marketing, digital media and retail. Expertise in understanding business needs (including drawing out those unstated), and then meeting them with data solutions. Excellent interpersonal skills working with customers and engineers; equally credible with individual contributors and executives. Experience in a business environment where complex data acquisition and integration were successfully woven into operational excellence. Ability to establish and articulate a vision, set goals, develop and execute strategies, and track and measure results. Ability to manage complexity well and demonstrated experience managing across functions and businesses to accomplish large scale goals. Ability to synthesize diverse requirements and communicate them to different audiences (both technical and non-technical). Company Overview : Data
At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, Parks & Resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. Imagine yourself as a Data Governance Analyst with Data Operations in the People Insights COE where your natural passion for working with data and partnering with others who share that passion for data will help to ensure the company is enabled to make smart business decisions with the best possible human resources data. In this role, you will be able to blaze new paths in this data rich environment through managing the integrity, efficiency, and availability of data. You will have the chance to leverage your expertise and knowledge to maximize the Company’s investment in our employees through complex analysis, compelling storytelling, and creative solutions. You have a curiosity that leads you to always ask, “What’s possible?” and you have the ability to bring those concepts to reality in everything you touch from simple data documentation to implementation of new policy.
You will write the rest of the chapters because this is YOUR story. And that story could begin here!
You are passionate about the benefits of accurate and actionable data, you drive consistency and enjoy partnering with others to accomplish the task You are a solutions-oriented critical thinker You have deep technical knowledge and experience in data management, data quality, and/or data governance You possess the talent for strong influencing and networking skills to help build and foster strong business relationships, leveraging those relationships to seek consensus amongst the Human Resources community on governance matters You demonstrate the ability to translate business issues and requirements into actionable plans, and to deliver against those plans You have the exceptional ability to make timely and effective decisions to meet fluid deadlines You have the capability to work autonomously and make independent decisions to meet deliverables with minimal oversight You are passionate about continuous improvement with a strong desire to continue learning in order to stay relevant to business changes and industry trends You can effectively handle and maintain confidential information You are proficient in SQL with a thorough understanding of data and systems' infrastructures Perform data profiling and database structure research in order to understand relevant data elements along with their definitions and use. Participate in data governance policy creation, management, and analyzing potential impacts of policy choices under consideration Document and maintain data standards, partnering with functional and business data owners to map existing HR data structures, usage, and common definitions Design, build, and execute efficient and accurate control structures to assess data quality and compliance to data governance policy Provide consultative support for HR clients, advising on policies, standards, and guidelines Responsibilities : You will write the rest of the chapters because this is YOUR story. And that story could begin here! Preferred Education : You are passionate about the benefits of accurate and actionable data, you drive consistency and enjoy partnering with others to accomplish the task You are a solutions-oriented critical thinker You have deep technical knowledge and experience in data management, data quality, and/or data governance You possess the talent for strong influencing and networking skills to help build and foster strong business relationships, leveraging those relationships to seek consensus amongst the Human Resources community on governance matters You demonstrate the ability to translate business issues and requirements into actionable plans, and to deliver against those plans You have the exceptional ability to make timely and effective decisions to meet fluid deadlines You have the capability to work autonomously and make independent decisions to meet deliverables with minimal oversight You are passionate about continuous improvement with a strong desire to continue learning in order to stay relevant to business changes and industry trends You can effectively handle and maintain confidential information You are proficient in SQL with a thorough understanding of data and systems' infrastructures Company Overview : Data
Oct 18, 2018
Full-time
At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, Parks & Resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. Imagine yourself as a Data Governance Analyst with Data Operations in the People Insights COE where your natural passion for working with data and partnering with others who share that passion for data will help to ensure the company is enabled to make smart business decisions with the best possible human resources data. In this role, you will be able to blaze new paths in this data rich environment through managing the integrity, efficiency, and availability of data. You will have the chance to leverage your expertise and knowledge to maximize the Company’s investment in our employees through complex analysis, compelling storytelling, and creative solutions. You have a curiosity that leads you to always ask, “What’s possible?” and you have the ability to bring those concepts to reality in everything you touch from simple data documentation to implementation of new policy.
You will write the rest of the chapters because this is YOUR story. And that story could begin here!
You are passionate about the benefits of accurate and actionable data, you drive consistency and enjoy partnering with others to accomplish the task You are a solutions-oriented critical thinker You have deep technical knowledge and experience in data management, data quality, and/or data governance You possess the talent for strong influencing and networking skills to help build and foster strong business relationships, leveraging those relationships to seek consensus amongst the Human Resources community on governance matters You demonstrate the ability to translate business issues and requirements into actionable plans, and to deliver against those plans You have the exceptional ability to make timely and effective decisions to meet fluid deadlines You have the capability to work autonomously and make independent decisions to meet deliverables with minimal oversight You are passionate about continuous improvement with a strong desire to continue learning in order to stay relevant to business changes and industry trends You can effectively handle and maintain confidential information You are proficient in SQL with a thorough understanding of data and systems' infrastructures Perform data profiling and database structure research in order to understand relevant data elements along with their definitions and use. Participate in data governance policy creation, management, and analyzing potential impacts of policy choices under consideration Document and maintain data standards, partnering with functional and business data owners to map existing HR data structures, usage, and common definitions Design, build, and execute efficient and accurate control structures to assess data quality and compliance to data governance policy Provide consultative support for HR clients, advising on policies, standards, and guidelines Responsibilities : You will write the rest of the chapters because this is YOUR story. And that story could begin here! Preferred Education : You are passionate about the benefits of accurate and actionable data, you drive consistency and enjoy partnering with others to accomplish the task You are a solutions-oriented critical thinker You have deep technical knowledge and experience in data management, data quality, and/or data governance You possess the talent for strong influencing and networking skills to help build and foster strong business relationships, leveraging those relationships to seek consensus amongst the Human Resources community on governance matters You demonstrate the ability to translate business issues and requirements into actionable plans, and to deliver against those plans You have the exceptional ability to make timely and effective decisions to meet fluid deadlines You have the capability to work autonomously and make independent decisions to meet deliverables with minimal oversight You are passionate about continuous improvement with a strong desire to continue learning in order to stay relevant to business changes and industry trends You can effectively handle and maintain confidential information You are proficient in SQL with a thorough understanding of data and systems' infrastructures Company Overview : Data
Disney Streaming Services is a place for the creative and the bold. We’re seeking talent across disciplines to join our team. Whether New York City, San Francisco, Manchester or Amsterdam we provide opportunities to elevate your career and transform an industry. Disney Streaming Services software engineers develop premium digital media products for Major League Baseball and our partners. The products we build, such as MLB.TV, NHL.TV, HBO NOW and PlayStation Vue are paving the way for the next-generation media and sport technologies. Disney Streaming Services engineering is headquartered in the Chelsea area of New York, NY with an office in the SoMo area of San Francisco, CA and team members based around the world. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you. At Disney Streaming Services data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. Bachelor’s degree in Computer Science or related field or equivalent work experience Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift Experience deploying data notebook and analytic environments such as Jupyter and Databricks Knowledge of the Python data ecosystem using pandas and numpy Experience building and deploying ML pipelines: training models, feature development, regression testing Experience with graph-based data workflows using Apache Airflow 1-3 years of experience developing in object orient Python Engineering big-data solutions using technologies like EMR, S3, Spark Loading and querying cloud-hosted databases such as Redshift and Snowflake Building data pipelines using Kafka, Spark, Flink, or Samza Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions Build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably Integrate with a variety of data metric providers ranging from advertising, web analytics, and consumer devices Build and maintain dimensional data warehouses in support of business intelligence tools Develop data catalogs and data validations to ensure clarity and correctness of key business metrics Drive and maintain a culture of quality, innovation and experimentation Required Education : Bachelor’s degree in Computer Science or related field or equivalent work experience Preferred Education : 1-3 years of experience developing in object orient Python Engineering big-data solutions using technologies like EMR, S3, Spark Loading and querying cloud-hosted databases such as Redshift and Snowflake Building data pipelines using Kafka, Spark, Flink, or Samza Company Overview : Data
Oct 18, 2018
Full-time
Disney Streaming Services is a place for the creative and the bold. We’re seeking talent across disciplines to join our team. Whether New York City, San Francisco, Manchester or Amsterdam we provide opportunities to elevate your career and transform an industry. Disney Streaming Services software engineers develop premium digital media products for Major League Baseball and our partners. The products we build, such as MLB.TV, NHL.TV, HBO NOW and PlayStation Vue are paving the way for the next-generation media and sport technologies. Disney Streaming Services engineering is headquartered in the Chelsea area of New York, NY with an office in the SoMo area of San Francisco, CA and team members based around the world. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you. At Disney Streaming Services data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. Bachelor’s degree in Computer Science or related field or equivalent work experience Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift Experience deploying data notebook and analytic environments such as Jupyter and Databricks Knowledge of the Python data ecosystem using pandas and numpy Experience building and deploying ML pipelines: training models, feature development, regression testing Experience with graph-based data workflows using Apache Airflow 1-3 years of experience developing in object orient Python Engineering big-data solutions using technologies like EMR, S3, Spark Loading and querying cloud-hosted databases such as Redshift and Snowflake Building data pipelines using Kafka, Spark, Flink, or Samza Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions Build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably Integrate with a variety of data metric providers ranging from advertising, web analytics, and consumer devices Build and maintain dimensional data warehouses in support of business intelligence tools Develop data catalogs and data validations to ensure clarity and correctness of key business metrics Drive and maintain a culture of quality, innovation and experimentation Required Education : Bachelor’s degree in Computer Science or related field or equivalent work experience Preferred Education : 1-3 years of experience developing in object orient Python Engineering big-data solutions using technologies like EMR, S3, Spark Loading and querying cloud-hosted databases such as Redshift and Snowflake Building data pipelines using Kafka, Spark, Flink, or Samza Company Overview : Data
“It takes people to make the dream a reality.” Walt was on to something when he said that, and it continues to ring true today. No matter the stage in your career, being a part of Walt Disney Parks & Resorts means being a part of a team where you help bring innovation to life through unsurpassed products, services and most importantly remarkable experiences. As a Cast Member, you are the steward and connection to our legacy and the backbone of our thriving innovations. Join our team and watch your dreams come true. Consumer Insights, Measurement, & Analytics (CIMA), part of the Walt Disney Parks and Resorts Global Marketing & Sales organization, informs strategy development and decision-making through holistic data integration, objective data analytics, and actionable recommendations. Within CIMA, the Consumer Insight team focuses on leveraging best practices in consumer and Guest feedback to improve experiences for all who choose Disney as a vacation destination. To learn more about CIMA roles, click here: https://www.youtube.com/watch?v=NQiQKjxBtGs&index=6&list=PL09ihUIdeG3Pu1gkXJxzbK2c_f-MWhO9f The Systems Engineer must possess a passion for data, systems and innovation. He/she will play a critical role in managing systems that support internal and external partnerships to drive decision-making throughout the organization. The person must be comfortable working with partner teams, conducting both planned and ad hoc requests and lead system implementation efforts successfully through the Consumer Insight Technology Team. The candidate must also ensure focus on data quality by creating a structure and following processes and continually innovate against the process and tools used to do this work. Engineering, or related field (Master’s preferred)
Bachelor’s degree in Information Technology, Computer Science, Software or equivalent experience
Cloud certifications preferred Experience with statistical programming languages such as SAS and R preferred Project Management certifications preferred 3-5 years of experience in system engineering and IT support 3-5 years of hands on previous experience developing or supporting enterprise online products and services 1 to 3 years of project or team lead experience Solid Cloud experience, preferably in AWS and/or Azure Detailed knowledge of core internet protocols including, but not limited to TCP/IP, DNS and HTTP Demonstrated understanding of object oriented programming languages such as C#, C++, Python, etc. Experience with web application development platforms, tools and utilities Excellent written and verbal communications, proven ability to develop and deliver Facilitate presentations geared for Senior and Executive Management Strategic thinker that is able to connect business outcomes to technology solutions, strong collaborator, analytical, problem solving and decision-making skills Strong organizational and time management skills Liaise with vendors and other IT personnel for problem resolution Solid management of multiple hosting environments including public and private cloud solutions (AWS and/or Azure) Knowledge of ETL development and relational databases such as Teradata and/or SQL Server Drive automation to reduce the need for human intervention Experience managing and monitoring systems and infrastructure to ensure structural integrity Experience with virtualization and containerization Strong scripting skills and networking knowledge Oversee the development and installation of new hardware and software Ensure constant availability of technical resources Required Education : Bachelor’s degree in Information Technology, Computer Science, Software or equivalent experience Preferred Education : 3-5 years of experience in system engineering and IT support 3-5 years of hands on previous experience developing or supporting enterprise online products and services 1 to 3 years of project or team lead experience Solid Cloud experience, preferably in AWS and/or Azure Detailed knowledge of core internet protocols including, but not limited to TCP/IP, DNS and HTTP Demonstrated understanding of object oriented programming languages such as C#, C++, Python, etc. Experience with web application development platforms, tools and utilities Excellent written and verbal communications, proven ability to develop and deliver Facilitate presentations geared for Senior and Executive Management Company Overview : Technology
Oct 18, 2018
Full-time
“It takes people to make the dream a reality.” Walt was on to something when he said that, and it continues to ring true today. No matter the stage in your career, being a part of Walt Disney Parks & Resorts means being a part of a team where you help bring innovation to life through unsurpassed products, services and most importantly remarkable experiences. As a Cast Member, you are the steward and connection to our legacy and the backbone of our thriving innovations. Join our team and watch your dreams come true. Consumer Insights, Measurement, & Analytics (CIMA), part of the Walt Disney Parks and Resorts Global Marketing & Sales organization, informs strategy development and decision-making through holistic data integration, objective data analytics, and actionable recommendations. Within CIMA, the Consumer Insight team focuses on leveraging best practices in consumer and Guest feedback to improve experiences for all who choose Disney as a vacation destination. To learn more about CIMA roles, click here: https://www.youtube.com/watch?v=NQiQKjxBtGs&index=6&list=PL09ihUIdeG3Pu1gkXJxzbK2c_f-MWhO9f The Systems Engineer must possess a passion for data, systems and innovation. He/she will play a critical role in managing systems that support internal and external partnerships to drive decision-making throughout the organization. The person must be comfortable working with partner teams, conducting both planned and ad hoc requests and lead system implementation efforts successfully through the Consumer Insight Technology Team. The candidate must also ensure focus on data quality by creating a structure and following processes and continually innovate against the process and tools used to do this work. Engineering, or related field (Master’s preferred)
Bachelor’s degree in Information Technology, Computer Science, Software or equivalent experience
Cloud certifications preferred Experience with statistical programming languages such as SAS and R preferred Project Management certifications preferred 3-5 years of experience in system engineering and IT support 3-5 years of hands on previous experience developing or supporting enterprise online products and services 1 to 3 years of project or team lead experience Solid Cloud experience, preferably in AWS and/or Azure Detailed knowledge of core internet protocols including, but not limited to TCP/IP, DNS and HTTP Demonstrated understanding of object oriented programming languages such as C#, C++, Python, etc. Experience with web application development platforms, tools and utilities Excellent written and verbal communications, proven ability to develop and deliver Facilitate presentations geared for Senior and Executive Management Strategic thinker that is able to connect business outcomes to technology solutions, strong collaborator, analytical, problem solving and decision-making skills Strong organizational and time management skills Liaise with vendors and other IT personnel for problem resolution Solid management of multiple hosting environments including public and private cloud solutions (AWS and/or Azure) Knowledge of ETL development and relational databases such as Teradata and/or SQL Server Drive automation to reduce the need for human intervention Experience managing and monitoring systems and infrastructure to ensure structural integrity Experience with virtualization and containerization Strong scripting skills and networking knowledge Oversee the development and installation of new hardware and software Ensure constant availability of technical resources Required Education : Bachelor’s degree in Information Technology, Computer Science, Software or equivalent experience Preferred Education : 3-5 years of experience in system engineering and IT support 3-5 years of hands on previous experience developing or supporting enterprise online products and services 1 to 3 years of project or team lead experience Solid Cloud experience, preferably in AWS and/or Azure Detailed knowledge of core internet protocols including, but not limited to TCP/IP, DNS and HTTP Demonstrated understanding of object oriented programming languages such as C#, C++, Python, etc. Experience with web application development platforms, tools and utilities Excellent written and verbal communications, proven ability to develop and deliver Facilitate presentations geared for Senior and Executive Management Company Overview : Technology
The Walt Disney Company
Celebration, FL 34747, USA
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Walt Disney Parks and Resorts. CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Consumer Insight team drives value by developing a deep understanding of consumers and Guests that is leveraged to identify improvement opportunities and influence key strategies across the business. The team is responsible for reviewing qualitative Guest data collected through in-person and Internet surveys. To streamline the data insight process, Coding Specialists will be using text analytics solutions to build queries that categorize the data automatically, or manual categorization methods. This work is done to give the voice of the Guest a quantitative value for further analysis. Reporting to the Coding Manager, each Specialist is responsible for building queries for multiple projects and types of data, with specific deadlines and deliverables. To learn more about CIMA roles, click here: https://www.youtube.com/watch?v=NQiQKjxBtGs&index=6&list=PL09ihUIdeG3Pu1gkXJxzbK2c_f-MWhO9f
Bachelor’s Degree in computer science, computer engineering or other related analytics field
Bachelor’s Degree or equivalent experience
Demonstrated experience with computer programming, SAS preferred Demonstrated experience using Confirmit or similar survey software Demonstrated experience with SPSS and Tableau Demonstrated experience with SAS Visual Analytics Demonstrated experience with Boolean, regular expressions, database querying, or text analytics software Demonstrated understanding of data science, including data collection and preparation, sampling, modeling, model deployment and model assessment. Strong grasp of English grammar, syntax, and phraseology, with the ability to construct linguistic taxonomies Candidates should have intellectual curiosity and the ability to effectively manage multiple projects Candidates should be self-motivated with the ability to work independently in a fast-paced, complex business environment Computer proficiency in a Windows environment Demonstrated problem solving, written, and verbal communication skills Demonstrated organizational skills with attention to detail Build taxonomies using Boolean operators and regular expressions in the SAS Contextual Analysis or SAS Visual Text Analytics environment Use contextual extraction and document classification approaches to categorizing data for automated text analytics solutions Partner with CI Analysts to deliver insights and advise on survey programming structure and questions Use SAS Enterprise Guide environment for extraction, transformation, and loading data (ETL) Analyze and build queries across multiple types of data including survey verbatims, social media posts, Guest correspondence, etc. Ensure data quality through sampling methodologies, and perform regular maintenance on existing queries as needed Basic Qualifications : Guest Research Required Education : Bachelor’s Degree or equivalent experience Preferred Education : Demonstrated experience with Boolean, regular expressions, database querying, or text analytics software Demonstrated understanding of data science, including data collection and preparation, sampling, modeling, model deployment and model assessment. Strong grasp of English grammar, syntax, and phraseology, with the ability to construct linguistic taxonomies Candidates should have intellectual curiosity and the ability to effectively manage multiple projects Candidates should be self-motivated with the ability to work independently in a fast-paced, complex business environment Computer proficiency in a Windows environment Demonstrated problem solving, written, and verbal communication skills Demonstrated organizational skills with attention to detail Company Overview : Data
Oct 18, 2018
Full-time
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Walt Disney Parks and Resorts. CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Consumer Insight team drives value by developing a deep understanding of consumers and Guests that is leveraged to identify improvement opportunities and influence key strategies across the business. The team is responsible for reviewing qualitative Guest data collected through in-person and Internet surveys. To streamline the data insight process, Coding Specialists will be using text analytics solutions to build queries that categorize the data automatically, or manual categorization methods. This work is done to give the voice of the Guest a quantitative value for further analysis. Reporting to the Coding Manager, each Specialist is responsible for building queries for multiple projects and types of data, with specific deadlines and deliverables. To learn more about CIMA roles, click here: https://www.youtube.com/watch?v=NQiQKjxBtGs&index=6&list=PL09ihUIdeG3Pu1gkXJxzbK2c_f-MWhO9f
Bachelor’s Degree in computer science, computer engineering or other related analytics field
Bachelor’s Degree or equivalent experience
Demonstrated experience with computer programming, SAS preferred Demonstrated experience using Confirmit or similar survey software Demonstrated experience with SPSS and Tableau Demonstrated experience with SAS Visual Analytics Demonstrated experience with Boolean, regular expressions, database querying, or text analytics software Demonstrated understanding of data science, including data collection and preparation, sampling, modeling, model deployment and model assessment. Strong grasp of English grammar, syntax, and phraseology, with the ability to construct linguistic taxonomies Candidates should have intellectual curiosity and the ability to effectively manage multiple projects Candidates should be self-motivated with the ability to work independently in a fast-paced, complex business environment Computer proficiency in a Windows environment Demonstrated problem solving, written, and verbal communication skills Demonstrated organizational skills with attention to detail Build taxonomies using Boolean operators and regular expressions in the SAS Contextual Analysis or SAS Visual Text Analytics environment Use contextual extraction and document classification approaches to categorizing data for automated text analytics solutions Partner with CI Analysts to deliver insights and advise on survey programming structure and questions Use SAS Enterprise Guide environment for extraction, transformation, and loading data (ETL) Analyze and build queries across multiple types of data including survey verbatims, social media posts, Guest correspondence, etc. Ensure data quality through sampling methodologies, and perform regular maintenance on existing queries as needed Basic Qualifications : Guest Research Required Education : Bachelor’s Degree or equivalent experience Preferred Education : Demonstrated experience with Boolean, regular expressions, database querying, or text analytics software Demonstrated understanding of data science, including data collection and preparation, sampling, modeling, model deployment and model assessment. Strong grasp of English grammar, syntax, and phraseology, with the ability to construct linguistic taxonomies Candidates should have intellectual curiosity and the ability to effectively manage multiple projects Candidates should be self-motivated with the ability to work independently in a fast-paced, complex business environment Computer proficiency in a Windows environment Demonstrated problem solving, written, and verbal communication skills Demonstrated organizational skills with attention to detail Company Overview : Data
It’s the magic of immersing yourself in a motion picture masterpiece, or a new track from your favorite band, or the spectacle of a live Broadway show. It’s hard to define and even harder to create, but that’s what we do at The Walt Disney Studios. Ours is a culture of innovation, collaboration and creativity. We raise the bar, then step over it, blazing trails through the production and distribution of world class entertainment around the globe. If you want to help tell compelling, enduring stories through movies, music or stage plays, then we want to hear from you. We have an exciting opportunity for a Manager, Acquisition and Member Growth to join the team! Walt Disney Studios Customer Relationship Management (CRM) team is responsible for creating a best in class experience for our most engaged movie fans. We leverage the widely recognized and beloved brands of the Walt Disney Studios to create a direct relationship with our fans, and in turn, to drive business objectives by providing our stakeholders with insights on consumer behavior and preferences. Its primary avenue for meeting these goals is Disney Movie Rewards, the premier loyalty program for all Pixar, Walt Disney Animation, Disney Live Action, Marvel Studios and Lucasfilm releases. The Manager, CRM Acquisitions & Member Growth is responsible for the strategy, support and execution of acquisition initiatives that will help us to grow, scale and efficiently acquire new members across online and offline channels. This role will work closely with the Manager, CRM Lifecycle Management on lead conversion as well as with external and internal strategic partners on promotions. This role will manage budgets, lead strategic initiatives and campaigns across internal and external stakeholders and have primary ownership of migrating leads from the top of the funnel through conversion. This role will report to the Senior Manager, CRM Strategy. Bachelor’s or Master’s degree in business, marketing, analytics or related field BA/BS Degree or Comparable Work Experience Knowledgeable about different forms of attribution and how to apply them to cross-channel optimization and testing Strong passion for predictive analytics, big data, and digital marketing Prior experience working with creative teams to guide a creative strategy and provide meaningful feedback Technical: Salesforce, Keynote, Workfront, Slack, Abode Photoshop, Sprinklr, Spredfast, SQL, Tableau, ETL, Python, Excel 5-7 years relevant work experience in customer acquisition marketing, performance marketing or growth marketing, ideally in a loyalty program or subscription marketing capacity. Ability to define and scale an omni-channel acquisition strategy. Track record of being able to use data as a key part of delivering value to consumers. Can derive insights, recommendations and action plans from data and socialize actionable insights to team and stakeholders. Excellent communication, collaboration and planning skills. Demonstrated success working with cross-functional teams both internal and external, to deliver meaningful results on time and on budget. First-hand experience with bid-management platforms and self-serve paid media. Deep familiarity with the broader digital media landscape (e.g. DSPs, DMPs, 3rd party data Providers). Experience in search across AdWords & Bing or have closely managed an agency in this area. A thorough understanding of Facebook’s paid advertising platform. Attention to detail with a creative eye Results-driven with the ability to anticipate needs. Nimble and flexible with regards to changing priorities & business needs. Technical: Microsoft Word, PowerPoint, Excel, Google Analytics Build, execute and optimize a holistic Disney Movie Rewards acquisition strategy to grow our high-quality membership base across email, organic & paid social, SEO, SEM, referral programs, retail product messaging, direct mail and other offline channels. Drive acquisition goals at the program and campaign level by: Developing strategy for promotions, communications and experiences that educate, inspire and incentivize consumers to register for our program, Collaborating with stakeholders across Marketing, Distribution, Home Entertainment, Technology, Insights & Analytics, Synergy, as well as external agencies/vendors to execute campaigns, and Exploring new and emerging acquisitions opportunities that unlock new growth and scale existing channels. Perform ongoing campaign analysis and multi-variate tests that will shape future business decisions, with a particular focus on improving the quality of leads and driving conversion. Allocate annual acquisition budget across channels and campaigns, optimizing for cost per acquisition and conversions. Partner with Communications Team on acquisition strategies and promotions across email and social media platforms. Work closely with the CRM Analytics team on robust measurement plans to track progress across major KPIs and to enable improvement with actionable insights. Required Education : BA/BS Degree or Comparable Work Experience Preferred Education : 5-7 years relevant work experience in customer acquisition marketing, performance marketing or growth marketing, ideally in a loyalty program or subscription marketing capacity. Ability to define and scale an omni-channel acquisition strategy. Track record of being able to use data as a key part of delivering value to consumers. Can derive insights, recommendations and action plans from data and socialize actionable insights to team and stakeholders. Excellent communication, collaboration and planning skills. Demonstrated success working with cross-functional teams both internal and external, to deliver meaningful results on time and on budget. First-hand experience with bid-management platforms and self-serve paid media. Deep familiarity with the broader digital media landscape (e.g. DSPs, DMPs, 3rd party data Providers). Experience in search across AdWords & Bing or have closely managed an agency in this area. A thorough understanding of Facebook’s paid advertising platform. Attention to detail with a creative eye Results-driven with the ability to anticipate needs. Nimble and flexible with regards to changing priorities & business needs. Technical: Microsoft Word, PowerPoint, Excel, Google Analytics Company Overview : Data
Oct 18, 2018
Full-time
It’s the magic of immersing yourself in a motion picture masterpiece, or a new track from your favorite band, or the spectacle of a live Broadway show. It’s hard to define and even harder to create, but that’s what we do at The Walt Disney Studios. Ours is a culture of innovation, collaboration and creativity. We raise the bar, then step over it, blazing trails through the production and distribution of world class entertainment around the globe. If you want to help tell compelling, enduring stories through movies, music or stage plays, then we want to hear from you. We have an exciting opportunity for a Manager, Acquisition and Member Growth to join the team! Walt Disney Studios Customer Relationship Management (CRM) team is responsible for creating a best in class experience for our most engaged movie fans. We leverage the widely recognized and beloved brands of the Walt Disney Studios to create a direct relationship with our fans, and in turn, to drive business objectives by providing our stakeholders with insights on consumer behavior and preferences. Its primary avenue for meeting these goals is Disney Movie Rewards, the premier loyalty program for all Pixar, Walt Disney Animation, Disney Live Action, Marvel Studios and Lucasfilm releases. The Manager, CRM Acquisitions & Member Growth is responsible for the strategy, support and execution of acquisition initiatives that will help us to grow, scale and efficiently acquire new members across online and offline channels. This role will work closely with the Manager, CRM Lifecycle Management on lead conversion as well as with external and internal strategic partners on promotions. This role will manage budgets, lead strategic initiatives and campaigns across internal and external stakeholders and have primary ownership of migrating leads from the top of the funnel through conversion. This role will report to the Senior Manager, CRM Strategy. Bachelor’s or Master’s degree in business, marketing, analytics or related field BA/BS Degree or Comparable Work Experience Knowledgeable about different forms of attribution and how to apply them to cross-channel optimization and testing Strong passion for predictive analytics, big data, and digital marketing Prior experience working with creative teams to guide a creative strategy and provide meaningful feedback Technical: Salesforce, Keynote, Workfront, Slack, Abode Photoshop, Sprinklr, Spredfast, SQL, Tableau, ETL, Python, Excel 5-7 years relevant work experience in customer acquisition marketing, performance marketing or growth marketing, ideally in a loyalty program or subscription marketing capacity. Ability to define and scale an omni-channel acquisition strategy. Track record of being able to use data as a key part of delivering value to consumers. Can derive insights, recommendations and action plans from data and socialize actionable insights to team and stakeholders. Excellent communication, collaboration and planning skills. Demonstrated success working with cross-functional teams both internal and external, to deliver meaningful results on time and on budget. First-hand experience with bid-management platforms and self-serve paid media. Deep familiarity with the broader digital media landscape (e.g. DSPs, DMPs, 3rd party data Providers). Experience in search across AdWords & Bing or have closely managed an agency in this area. A thorough understanding of Facebook’s paid advertising platform. Attention to detail with a creative eye Results-driven with the ability to anticipate needs. Nimble and flexible with regards to changing priorities & business needs. Technical: Microsoft Word, PowerPoint, Excel, Google Analytics Build, execute and optimize a holistic Disney Movie Rewards acquisition strategy to grow our high-quality membership base across email, organic & paid social, SEO, SEM, referral programs, retail product messaging, direct mail and other offline channels. Drive acquisition goals at the program and campaign level by: Developing strategy for promotions, communications and experiences that educate, inspire and incentivize consumers to register for our program, Collaborating with stakeholders across Marketing, Distribution, Home Entertainment, Technology, Insights & Analytics, Synergy, as well as external agencies/vendors to execute campaigns, and Exploring new and emerging acquisitions opportunities that unlock new growth and scale existing channels. Perform ongoing campaign analysis and multi-variate tests that will shape future business decisions, with a particular focus on improving the quality of leads and driving conversion. Allocate annual acquisition budget across channels and campaigns, optimizing for cost per acquisition and conversions. Partner with Communications Team on acquisition strategies and promotions across email and social media platforms. Work closely with the CRM Analytics team on robust measurement plans to track progress across major KPIs and to enable improvement with actionable insights. Required Education : BA/BS Degree or Comparable Work Experience Preferred Education : 5-7 years relevant work experience in customer acquisition marketing, performance marketing or growth marketing, ideally in a loyalty program or subscription marketing capacity. Ability to define and scale an omni-channel acquisition strategy. Track record of being able to use data as a key part of delivering value to consumers. Can derive insights, recommendations and action plans from data and socialize actionable insights to team and stakeholders. Excellent communication, collaboration and planning skills. Demonstrated success working with cross-functional teams both internal and external, to deliver meaningful results on time and on budget. First-hand experience with bid-management platforms and self-serve paid media. Deep familiarity with the broader digital media landscape (e.g. DSPs, DMPs, 3rd party data Providers). Experience in search across AdWords & Bing or have closely managed an agency in this area. A thorough understanding of Facebook’s paid advertising platform. Attention to detail with a creative eye Results-driven with the ability to anticipate needs. Nimble and flexible with regards to changing priorities & business needs. Technical: Microsoft Word, PowerPoint, Excel, Google Analytics Company Overview : Data
Disney Streaming Services is a place for the creative and the bold. We’re seeking talent across disciplines to join our team. Whether New York City, San Francisco, Manchester or Amsterdam we provide opportunities to elevate your career and transform an industry. Disney Streaming Services software engineers develop premium digital media products for Major League Baseball and our partners. The products we build, such as MLB.TV, NHL.TV, HBO NOW and PlayStation Vue are paving the way for the next-generation media and sport technologies. BAMTECH engineering is headquartered in the Chelsea area of New York, NY with an office in the SoMo area of San Francisco, CA and team members based around the world. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you. At Disney Streaming Services data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. Bachelor’s degree in Computer Science or related field or equivalent work Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift Experience deploying data notebook and analytic environments such as Jupyter and Databricks Knowledge of the Python data ecosystem using pandas and numpy Experience building and deploying ML pipelines: training models, feature development, regression testing Experience with graph-based data workflows using Apache Airflow 3-5 years of experience developing in object orient Python Engineering big-data solutions using technologies like EMR, S3, Spark Loading and querying cloud-hosted databases such as Redshift and Snowflake Building data pipelines using Kafka, Spark, Flink, or Samza Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions Build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably Integrate with a variety of data metric providers ranging from advertising, web analytics, and consumer devices Build and maintain dimensional data warehouses in support of business intelligence tools Develop data catalogs and data validations to ensure clarity and correctness of key business metrics Drive and maintain a culture of quality, innovation and experimentation Required Education : Bachelor’s degree in Computer Science or related field or equivalent work Preferred Education : 3-5 years of experience developing in object orient Python Engineering big-data solutions using technologies like EMR, S3, Spark Loading and querying cloud-hosted databases such as Redshift and Snowflake Building data pipelines using Kafka, Spark, Flink, or Samza Company Overview : Data
Oct 18, 2018
Full-time
Disney Streaming Services is a place for the creative and the bold. We’re seeking talent across disciplines to join our team. Whether New York City, San Francisco, Manchester or Amsterdam we provide opportunities to elevate your career and transform an industry. Disney Streaming Services software engineers develop premium digital media products for Major League Baseball and our partners. The products we build, such as MLB.TV, NHL.TV, HBO NOW and PlayStation Vue are paving the way for the next-generation media and sport technologies. BAMTECH engineering is headquartered in the Chelsea area of New York, NY with an office in the SoMo area of San Francisco, CA and team members based around the world. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you. At Disney Streaming Services data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. Bachelor’s degree in Computer Science or related field or equivalent work Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift Experience deploying data notebook and analytic environments such as Jupyter and Databricks Knowledge of the Python data ecosystem using pandas and numpy Experience building and deploying ML pipelines: training models, feature development, regression testing Experience with graph-based data workflows using Apache Airflow 3-5 years of experience developing in object orient Python Engineering big-data solutions using technologies like EMR, S3, Spark Loading and querying cloud-hosted databases such as Redshift and Snowflake Building data pipelines using Kafka, Spark, Flink, or Samza Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions Build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably Integrate with a variety of data metric providers ranging from advertising, web analytics, and consumer devices Build and maintain dimensional data warehouses in support of business intelligence tools Develop data catalogs and data validations to ensure clarity and correctness of key business metrics Drive and maintain a culture of quality, innovation and experimentation Required Education : Bachelor’s degree in Computer Science or related field or equivalent work Preferred Education : 3-5 years of experience developing in object orient Python Engineering big-data solutions using technologies like EMR, S3, Spark Loading and querying cloud-hosted databases such as Redshift and Snowflake Building data pipelines using Kafka, Spark, Flink, or Samza Company Overview : Data
The Pricing organization is part of a team that supports clients across Disney Parks, Experiences & Consumer Products including Ticketing, Resorts, Merchandise and Food & Beverage in the core competencies of yield management, revenue planning, pricing, promotions and optimization. Candidates should have a natural curiosity to understand the "why" behind business performance, take a proactive role in problem-solving, be results oriented, be able to prioritize and be a team player in a collaborative environment. This position will report to a Manager-Pricing.
We strongly encourage applicants to upload a copy of their resume and to print a copy of this role description so they can refer to it in the event they are selected for an interview.
Master’s degree or equivalent
Bachelor’s degree in Finance, Mathematics, Economics, Industrial Engineering or other quantitative field Five plus years work experience in business analysis and/or strategy development Proven knowledge of Disney Theme Parks & Resorts Prior experience with pricing, revenue management, and/or forecasting Demonstrated project management skills with ability to deliver on-time projects Experience working with complex and large volumes of data, database applications, and data visualization software (e.g., Access, Teradata, Oracle, and Tableau) Minimum three to five year’s work experience in business analysis and/or strategy development Proven proficiency in Microsoft Office suite of products, with expertise in Excel and PowerPoint Demonstrated familiarity with statistical analysis and software Demonstrated problem-solving, creative thinking, and partnering skills Demonstrated exceptional written and verbal communication skills, with the ability to shift readily between technical and non-technical terminology depending on audience Demonstrated ability to meet deadlines, handle multiple priorities, and perform job responsibilities accurately with minimal supervision Demonstrated exceptional sense of responsibility, ownership, and pride in delivering quality results and understanding the business impact Achieve business goals and objectives - Evaluate key business drivers to measure the success of pricing decisions, incorporating science based insights to identify strategic opportunities, and collaborating with partners to project manage and execute annual and promotional pricing decisions and initiatives Integrate - Partner with the Decision Science team to integrate advanced analytics and insights into the resorts pricing process Collaborate with key partners –Develop and maintain relationships with Marketing, Research, Legal, and Forecasting/Revenue Management to communicate performance, understand new initiatives, and identify impacts of strategic opportunities Responsibilities : We strongly encourage applicants to upload a copy of their resume and to print a copy of this role description so they can refer to it in the event they are selected for an interview. Required Education : Bachelor’s degree in Finance, Mathematics, Economics, Industrial Engineering or other quantitative field Preferred Education : Minimum three to five year’s work experience in business analysis and/or strategy development Proven proficiency in Microsoft Office suite of products, with expertise in Excel and PowerPoint Demonstrated familiarity with statistical analysis and software Demonstrated problem-solving, creative thinking, and partnering skills Demonstrated exceptional written and verbal communication skills, with the ability to shift readily between technical and non-technical terminology depending on audience Demonstrated ability to meet deadlines, handle multiple priorities, and perform job responsibilities accurately with minimal supervision Demonstrated exceptional sense of responsibility, ownership, and pride in delivering quality results and understanding the business impact Company Overview : Data
Oct 18, 2018
Full-time
The Pricing organization is part of a team that supports clients across Disney Parks, Experiences & Consumer Products including Ticketing, Resorts, Merchandise and Food & Beverage in the core competencies of yield management, revenue planning, pricing, promotions and optimization. Candidates should have a natural curiosity to understand the "why" behind business performance, take a proactive role in problem-solving, be results oriented, be able to prioritize and be a team player in a collaborative environment. This position will report to a Manager-Pricing.
We strongly encourage applicants to upload a copy of their resume and to print a copy of this role description so they can refer to it in the event they are selected for an interview.
Master’s degree or equivalent
Bachelor’s degree in Finance, Mathematics, Economics, Industrial Engineering or other quantitative field Five plus years work experience in business analysis and/or strategy development Proven knowledge of Disney Theme Parks & Resorts Prior experience with pricing, revenue management, and/or forecasting Demonstrated project management skills with ability to deliver on-time projects Experience working with complex and large volumes of data, database applications, and data visualization software (e.g., Access, Teradata, Oracle, and Tableau) Minimum three to five year’s work experience in business analysis and/or strategy development Proven proficiency in Microsoft Office suite of products, with expertise in Excel and PowerPoint Demonstrated familiarity with statistical analysis and software Demonstrated problem-solving, creative thinking, and partnering skills Demonstrated exceptional written and verbal communication skills, with the ability to shift readily between technical and non-technical terminology depending on audience Demonstrated ability to meet deadlines, handle multiple priorities, and perform job responsibilities accurately with minimal supervision Demonstrated exceptional sense of responsibility, ownership, and pride in delivering quality results and understanding the business impact Achieve business goals and objectives - Evaluate key business drivers to measure the success of pricing decisions, incorporating science based insights to identify strategic opportunities, and collaborating with partners to project manage and execute annual and promotional pricing decisions and initiatives Integrate - Partner with the Decision Science team to integrate advanced analytics and insights into the resorts pricing process Collaborate with key partners –Develop and maintain relationships with Marketing, Research, Legal, and Forecasting/Revenue Management to communicate performance, understand new initiatives, and identify impacts of strategic opportunities Responsibilities : We strongly encourage applicants to upload a copy of their resume and to print a copy of this role description so they can refer to it in the event they are selected for an interview. Required Education : Bachelor’s degree in Finance, Mathematics, Economics, Industrial Engineering or other quantitative field Preferred Education : Minimum three to five year’s work experience in business analysis and/or strategy development Proven proficiency in Microsoft Office suite of products, with expertise in Excel and PowerPoint Demonstrated familiarity with statistical analysis and software Demonstrated problem-solving, creative thinking, and partnering skills Demonstrated exceptional written and verbal communication skills, with the ability to shift readily between technical and non-technical terminology depending on audience Demonstrated ability to meet deadlines, handle multiple priorities, and perform job responsibilities accurately with minimal supervision Demonstrated exceptional sense of responsibility, ownership, and pride in delivering quality results and understanding the business impact Company Overview : Data
The Data Solutions & Architecture group is part of the Enterprise Technology organization. We are responsible for architecting, developing and managing the data platforms, data integrations and reporting and analytics solutions for The Walt Disney Company’s enterprise business data. We are experts at architecting and building highly scalable data and analytics solutions that meet the business requirements of the groups across the company we support. The Data Platforms position is one of the key architect roles on team. You will have the opportunity to be integrally involved in and influence the architecture of many complex and high-profile projects that will shape the future of data, reporting and analytics for The Walt Disney Company. As part of our team, you will be working with a full range of data technologies and architectures including big data platforms, enterprise data warehouses, pub/sub data messaging, master data management, AI/ML predictive analytics, Robotics Process Automation, and multiple reporting and analytics frameworks and tools. You will be working in a complex, challenging, fast-paced and rewarding environment, with other like-minded peers who are solutions and results oriented, and who enjoy collaboration. Besides being experts in their respective fields, our architects and developers are smart, curious, innovative, solutions-oriented, respectful, highly collaborative and continuous learners.
Master’s degree in Computer Science or related field Bachelor’s degree in Computer Science or related field Experience with specific BI Tools: Tableau, Power BI, SAP BusinessObjects, Cognos Experience and background in AI/ML and predictive analytics 10 years plus experience architecting enterprise data solutions 10 years of hands-on data platform design and development in large-scale and complex environments Technical Skills Expertise architecting and delivering highly-scalable, distributed, cloud-based enterprise data solutions In-depth experience with big data platforms, enterprise data warehouses, and reporting & analytics solutions Experience with SAP HANA Experience working with BI reporting and analytics tools Experience with data modeling Experience with semantic layer design Fluent understanding of data security and compliance requirements and experience designing data solutions that are secure and compliant Fluency architecting and documenting architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams) Understanding and experience with Solutions Architecture methodology and practices Ability to translate business requirements into conceptual and detailed technology solutions Ability to perform third-party vendor assessments Ability to develop and lead proof-of-concepts Focused on delivering practical, working solutions (no ivory tower solutions) Practical experience designing data solutions in multiple models and technologies: relational, no-SQL, big data, graph DB, unstructured and structured Experience and expertise with data lifecycle management, data-tiering and data archiving Functional understanding of cloud data storage and analytics offerings Experience migrating legacy systems to modern solutions Familiarity and working experience with common data integration patterns and processes including: ETL, APIs, Messaging Bus, Pub-Sub, flat files Experience with Hadoop, MapReduce, Spark, R, Python, SQL Experience and expertise with all aspects of data management: data governance, data mastering, meta-data management, data taxonomies and ontologies Non-Technical Skills Strong collaboration skills Ability to “influence without authority” Strong communication skills, both oral and written. Ability to communicate well to both technical and business audiences. Thinks strategically Innovative thinking and embraces innovation by constantly seeking new or contrary ideas and approaches to what has been done in the past Results oriented, biased toward action Keeps fluent in new technologies and successful sharing with peers and introducing new technologies into the organization Good at managing relationships with colleagues and stakeholders outside the organization Not afraid to take risks Creates enduring excitement about what is possible, while setting direction and driving results Thinks big and broad, without being constrained by existing norms or business models Recognizes diverse backgrounds, points of view, and cultural histories that directly impact the organization’s ability to innovate Challenges teams – and self, to deliver the very best in everything they doSeeks differing points of view Architecting highly-scalable, distributed enterprise data solutions with focus on big data platforms and enterprise data warehouses for reporting & analytics Designing and developing highly scalable and flexible data platform solutions Designing and documenting architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams) Providing active “hands-on” architectural guidance and leadership through the entire lifecycle of development projects Translating business requirements into conceptual and detailed technology solutions Collaborating closely with other architects and peers across the organization architecting and delivering solutions Performing third-party vendor assessments Developing and leading proof-of-concepts projects Keeping fluent in industry and marketplace evolution; continously learning new data technologies and introducing these into the organization Cross-training peers and mentoring junior teammates Required Education : Bachelor’s degree in Computer Science or related field Preferred Education : 10 years plus experience architecting enterprise data solutions 10 years of hands-on data platform design and development in large-scale and complex environments Technical Skills Expertise architecting and delivering highly-scalable, distributed, cloud-based enterprise data solutions In-depth experience with big data platforms, enterprise data warehouses, and reporting & analytics solutions Experience with SAP HANA Experience working with BI reporting and analytics tools Experience with data modeling Experience with semantic layer design Fluent understanding of data security and compliance requirements and experience designing data solutions that are secure and compliant Fluency architecting and documenting architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams) Understanding and experience with Solutions Architecture methodology and practices Ability to translate business requirements into conceptual and detailed technology solutions Ability to perform third-party vendor assessments Ability to develop and lead proof-of-concepts Focused on delivering practical, working solutions (no ivory tower solutions) Practical experience designing data solutions in multiple models and technologies: relational, no-SQL, big data, graph DB, unstructured and structured Experience and expertise with data lifecycle management, data-tiering and data archiving Functional understanding of cloud data storage and analytics offerings Experience migrating legacy systems to modern solutions Familiarity and working experience with common data integration patterns and processes including: ETL, APIs, Messaging Bus, Pub-Sub, flat files Experience with Hadoop, MapReduce, Spark, R, Python, SQL Experience and expertise with all aspects of data management: data governance, data mastering, meta-data management, data taxonomies and ontologies Non-Technical Skills Strong collaboration skills Ability to “influence without authority” Strong communication skills, both oral and written. Ability to communicate well to both technical and business audiences. Thinks strategically Innovative thinking and embraces innovation by constantly seeking new or contrary ideas and approaches to what has been done in the past Results oriented, biased toward action Keeps fluent in new technologies and successful sharing with peers and introducing new technologies into the organization Good at managing relationships with colleagues and stakeholders outside the organization Not afraid to take risks Creates enduring excitement about what is possible, while setting direction and driving results Thinks big and broad, without being constrained by existing norms or business models Recognizes diverse backgrounds, points of view, and cultural histories that directly impact the organization’s ability to innovate Challenges teams – and self, to deliver the very best in everything they doSeeks differing points of view Company Overview : Data
Oct 18, 2018
Full-time
The Data Solutions & Architecture group is part of the Enterprise Technology organization. We are responsible for architecting, developing and managing the data platforms, data integrations and reporting and analytics solutions for The Walt Disney Company’s enterprise business data. We are experts at architecting and building highly scalable data and analytics solutions that meet the business requirements of the groups across the company we support. The Data Platforms position is one of the key architect roles on team. You will have the opportunity to be integrally involved in and influence the architecture of many complex and high-profile projects that will shape the future of data, reporting and analytics for The Walt Disney Company. As part of our team, you will be working with a full range of data technologies and architectures including big data platforms, enterprise data warehouses, pub/sub data messaging, master data management, AI/ML predictive analytics, Robotics Process Automation, and multiple reporting and analytics frameworks and tools. You will be working in a complex, challenging, fast-paced and rewarding environment, with other like-minded peers who are solutions and results oriented, and who enjoy collaboration. Besides being experts in their respective fields, our architects and developers are smart, curious, innovative, solutions-oriented, respectful, highly collaborative and continuous learners.
Master’s degree in Computer Science or related field Bachelor’s degree in Computer Science or related field Experience with specific BI Tools: Tableau, Power BI, SAP BusinessObjects, Cognos Experience and background in AI/ML and predictive analytics 10 years plus experience architecting enterprise data solutions 10 years of hands-on data platform design and development in large-scale and complex environments Technical Skills Expertise architecting and delivering highly-scalable, distributed, cloud-based enterprise data solutions In-depth experience with big data platforms, enterprise data warehouses, and reporting & analytics solutions Experience with SAP HANA Experience working with BI reporting and analytics tools Experience with data modeling Experience with semantic layer design Fluent understanding of data security and compliance requirements and experience designing data solutions that are secure and compliant Fluency architecting and documenting architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams) Understanding and experience with Solutions Architecture methodology and practices Ability to translate business requirements into conceptual and detailed technology solutions Ability to perform third-party vendor assessments Ability to develop and lead proof-of-concepts Focused on delivering practical, working solutions (no ivory tower solutions) Practical experience designing data solutions in multiple models and technologies: relational, no-SQL, big data, graph DB, unstructured and structured Experience and expertise with data lifecycle management, data-tiering and data archiving Functional understanding of cloud data storage and analytics offerings Experience migrating legacy systems to modern solutions Familiarity and working experience with common data integration patterns and processes including: ETL, APIs, Messaging Bus, Pub-Sub, flat files Experience with Hadoop, MapReduce, Spark, R, Python, SQL Experience and expertise with all aspects of data management: data governance, data mastering, meta-data management, data taxonomies and ontologies Non-Technical Skills Strong collaboration skills Ability to “influence without authority” Strong communication skills, both oral and written. Ability to communicate well to both technical and business audiences. Thinks strategically Innovative thinking and embraces innovation by constantly seeking new or contrary ideas and approaches to what has been done in the past Results oriented, biased toward action Keeps fluent in new technologies and successful sharing with peers and introducing new technologies into the organization Good at managing relationships with colleagues and stakeholders outside the organization Not afraid to take risks Creates enduring excitement about what is possible, while setting direction and driving results Thinks big and broad, without being constrained by existing norms or business models Recognizes diverse backgrounds, points of view, and cultural histories that directly impact the organization’s ability to innovate Challenges teams – and self, to deliver the very best in everything they doSeeks differing points of view Architecting highly-scalable, distributed enterprise data solutions with focus on big data platforms and enterprise data warehouses for reporting & analytics Designing and developing highly scalable and flexible data platform solutions Designing and documenting architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams) Providing active “hands-on” architectural guidance and leadership through the entire lifecycle of development projects Translating business requirements into conceptual and detailed technology solutions Collaborating closely with other architects and peers across the organization architecting and delivering solutions Performing third-party vendor assessments Developing and leading proof-of-concepts projects Keeping fluent in industry and marketplace evolution; continously learning new data technologies and introducing these into the organization Cross-training peers and mentoring junior teammates Required Education : Bachelor’s degree in Computer Science or related field Preferred Education : 10 years plus experience architecting enterprise data solutions 10 years of hands-on data platform design and development in large-scale and complex environments Technical Skills Expertise architecting and delivering highly-scalable, distributed, cloud-based enterprise data solutions In-depth experience with big data platforms, enterprise data warehouses, and reporting & analytics solutions Experience with SAP HANA Experience working with BI reporting and analytics tools Experience with data modeling Experience with semantic layer design Fluent understanding of data security and compliance requirements and experience designing data solutions that are secure and compliant Fluency architecting and documenting architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams) Understanding and experience with Solutions Architecture methodology and practices Ability to translate business requirements into conceptual and detailed technology solutions Ability to perform third-party vendor assessments Ability to develop and lead proof-of-concepts Focused on delivering practical, working solutions (no ivory tower solutions) Practical experience designing data solutions in multiple models and technologies: relational, no-SQL, big data, graph DB, unstructured and structured Experience and expertise with data lifecycle management, data-tiering and data archiving Functional understanding of cloud data storage and analytics offerings Experience migrating legacy systems to modern solutions Familiarity and working experience with common data integration patterns and processes including: ETL, APIs, Messaging Bus, Pub-Sub, flat files Experience with Hadoop, MapReduce, Spark, R, Python, SQL Experience and expertise with all aspects of data management: data governance, data mastering, meta-data management, data taxonomies and ontologies Non-Technical Skills Strong collaboration skills Ability to “influence without authority” Strong communication skills, both oral and written. Ability to communicate well to both technical and business audiences. Thinks strategically Innovative thinking and embraces innovation by constantly seeking new or contrary ideas and approaches to what has been done in the past Results oriented, biased toward action Keeps fluent in new technologies and successful sharing with peers and introducing new technologies into the organization Good at managing relationships with colleagues and stakeholders outside the organization Not afraid to take risks Creates enduring excitement about what is possible, while setting direction and driving results Thinks big and broad, without being constrained by existing norms or business models Recognizes diverse backgrounds, points of view, and cultural histories that directly impact the organization’s ability to innovate Challenges teams – and self, to deliver the very best in everything they doSeeks differing points of view Company Overview : Data
The Walt Disney Company
Lake Buena Vista, FL 32830, USA
Workforce Management focusing on all aspects of labor management, ensuring that operations are sufficiently staffed to deliver the company’s Guest service standards. Responsibilities of this area include forecasting, workload, headcount planning, scheduling, deployment, pay and reporting. The goal of the team is to excel at exceeding expectations of our Walt Disney World Cast who request support through a Call Center environment, receiving ~54k phone calls and ~85k emails/portal requests each year.
Internship Eligibility: •Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship •Not have already completed two consecutive (spring/fall) College or Professional Internship Programs •Must be at least 18 years of age •Must possess unrestricted work authorization •Must possess a valid US driver’s license •Must provide full work availability. The approximate dates of this internship are January to June 2019 •Must provide own transportation to/from work •Must provide a valid current U.S. driver's license •Current Active Disney Cast Members must meet Professional Internship transfer guidelines (for Walt Disney World Cast Members this is no more than four points and one reprimand in the last six months; for Disneyland Cast Members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months
Currently enrolled as a Junior, or Senior in a four-year Industrial Engineering, Computer Science, Management Information Systems, Information Technology, Computer Engineering or related program
•Experience with Walt Disney World Labor Systems such as CDS, Cast Link, Extra Hours Hotline and Workbrain •Experience in web application frameworks including ASP.NET, Vue.js, Angular, Django, or Zend Framework •Experience with object-oriented or interpreted languages such as C#, Java, and Python •Proficiency in SAP and Service Center •Disney College Program Alumni
•Proficient in Microsoft Office Applications •Experience with databases and spreadsheets (Ex. Microsoft SQL Server 2012 or later, Access, Excel) •Either: Analytical skills with the ability to analyze data and translate for clients OR Web Development skills with the ability to write HTML,CSS, and JavaScript •Ability to work independently and in a team environment, while handling multiple tasks and confidential information with strong communication skills
•Providing support for the management of 30+ processes necessary to adequately support the Labor Attendance and Time Team components of the Labor Service Center and 90+ audits to correct various system defects and ensure compliance with policy, contracts, and law •Interacting with various department Cast and Leaders to develop process improvements for this operation •Assisting with testing new enhancements to systems prior to implementation to ensure proper functionality •Assisting with developing and maintaining system and process documentation •Partnering with appropriate Employee Relations, Labor Relations, Human Resource, Finance, Compensation, DWSS Payroll, Global HR Ops and Information Technology teams as required Responsibilities : Internship Eligibility: •Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship •Not have already completed two consecutive (spring/fall) College or Professional Internship Programs •Must be at least 18 years of age •Must possess unrestricted work authorization •Must possess a valid US driver’s license •Must provide full work availability. The approximate dates of this internship are January to June 2019 •Must provide own transportation to/from work •Must provide a valid current U.S. driver's license •Current Active Disney Cast Members must meet Professional Internship transfer guidelines (for Walt Disney World Cast Members this is no more than four points and one reprimand in the last six months; for Disneyland Cast Members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months Required Education : Currently enrolled as a Junior, or Senior in a four-year Industrial Engineering, Computer Science, Management Information Systems, Information Technology, Computer Engineering or related program Preferred Education : •Proficient in Microsoft Office Applications •Experience with databases and spreadsheets (Ex. Microsoft SQL Server 2012 or later, Access, Excel) •Either: Analytical skills with the ability to analyze data and translate for clients OR Web Development skills with the ability to write HTML,CSS, and JavaScript •Ability to work independently and in a team environment, while handling multiple tasks and confidential information with strong communication skills Company Overview : Data
Oct 18, 2018
Workforce Management focusing on all aspects of labor management, ensuring that operations are sufficiently staffed to deliver the company’s Guest service standards. Responsibilities of this area include forecasting, workload, headcount planning, scheduling, deployment, pay and reporting. The goal of the team is to excel at exceeding expectations of our Walt Disney World Cast who request support through a Call Center environment, receiving ~54k phone calls and ~85k emails/portal requests each year.
Internship Eligibility: •Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship •Not have already completed two consecutive (spring/fall) College or Professional Internship Programs •Must be at least 18 years of age •Must possess unrestricted work authorization •Must possess a valid US driver’s license •Must provide full work availability. The approximate dates of this internship are January to June 2019 •Must provide own transportation to/from work •Must provide a valid current U.S. driver's license •Current Active Disney Cast Members must meet Professional Internship transfer guidelines (for Walt Disney World Cast Members this is no more than four points and one reprimand in the last six months; for Disneyland Cast Members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months
Currently enrolled as a Junior, or Senior in a four-year Industrial Engineering, Computer Science, Management Information Systems, Information Technology, Computer Engineering or related program
•Experience with Walt Disney World Labor Systems such as CDS, Cast Link, Extra Hours Hotline and Workbrain •Experience in web application frameworks including ASP.NET, Vue.js, Angular, Django, or Zend Framework •Experience with object-oriented or interpreted languages such as C#, Java, and Python •Proficiency in SAP and Service Center •Disney College Program Alumni
•Proficient in Microsoft Office Applications •Experience with databases and spreadsheets (Ex. Microsoft SQL Server 2012 or later, Access, Excel) •Either: Analytical skills with the ability to analyze data and translate for clients OR Web Development skills with the ability to write HTML,CSS, and JavaScript •Ability to work independently and in a team environment, while handling multiple tasks and confidential information with strong communication skills
•Providing support for the management of 30+ processes necessary to adequately support the Labor Attendance and Time Team components of the Labor Service Center and 90+ audits to correct various system defects and ensure compliance with policy, contracts, and law •Interacting with various department Cast and Leaders to develop process improvements for this operation •Assisting with testing new enhancements to systems prior to implementation to ensure proper functionality •Assisting with developing and maintaining system and process documentation •Partnering with appropriate Employee Relations, Labor Relations, Human Resource, Finance, Compensation, DWSS Payroll, Global HR Ops and Information Technology teams as required Responsibilities : Internship Eligibility: •Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship •Not have already completed two consecutive (spring/fall) College or Professional Internship Programs •Must be at least 18 years of age •Must possess unrestricted work authorization •Must possess a valid US driver’s license •Must provide full work availability. The approximate dates of this internship are January to June 2019 •Must provide own transportation to/from work •Must provide a valid current U.S. driver's license •Current Active Disney Cast Members must meet Professional Internship transfer guidelines (for Walt Disney World Cast Members this is no more than four points and one reprimand in the last six months; for Disneyland Cast Members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months Required Education : Currently enrolled as a Junior, or Senior in a four-year Industrial Engineering, Computer Science, Management Information Systems, Information Technology, Computer Engineering or related program Preferred Education : •Proficient in Microsoft Office Applications •Experience with databases and spreadsheets (Ex. Microsoft SQL Server 2012 or later, Access, Excel) •Either: Analytical skills with the ability to analyze data and translate for clients OR Web Development skills with the ability to write HTML,CSS, and JavaScript •Ability to work independently and in a team environment, while handling multiple tasks and confidential information with strong communication skills Company Overview : Data
Comprised of Disney’s international media businesses and the Company’s various streaming services, the Direct-to-Consumer and International (DTCI) segment aligns technology, content and distribution platforms to expand the Company’s global footprint and deliver world-class, personalized entertainment experiences to consumers around the world. The SEO Analyst will perform Search Engine Optimization for the Disney Direct-to-Consumer and International segment. The SEO Analyst will help manage multiple SEO projects and campaigns as part of a larger SEO team and should be someone who is passionate about online marketing with a track record of achieving business goals. This individual should be able to make decisions that reflect an up-to-date understanding of SEO strategies. College degree (or equivalent experience) Pays high attention to detail Reliable communication and interpersonal skills, both verbal and written Organizational and project management skills, including the ability to prioritize and manage multiple deliverables on tight timelines Ability to analyze, synthesize, and communicate critical data and adjust strategies as needed Diplomacy and confidence to work with clients and colleagues effectively Strong emotional intelligence Self-starter Team player Strong work ethic High degree of ownership and accountability 3+ years of experience with a demonstrated interest for SEO SEO and web development experience Web analytics experience Up-to-date knowledge of SEO strategies Solid understanding of general online marketing Knowledge of API and JS web development Knowledge of server and caching technologies Diagnose and solve technical SEO issues Provide SEO editorial support Create SEO documentation Work effectively with team leads to implement SEO tasks Measure search performance Report SEO results Required Education : College degree (or equivalent experience) Preferred Education : 3+ years of experience with a demonstrated interest for SEO SEO and web development experience Web analytics experience Up-to-date knowledge of SEO strategies Solid understanding of general online marketing Knowledge of API and JS web development Knowledge of server and caching technologies Company Overview : Digital and Interactive Media
Oct 18, 2018
Full-time
Comprised of Disney’s international media businesses and the Company’s various streaming services, the Direct-to-Consumer and International (DTCI) segment aligns technology, content and distribution platforms to expand the Company’s global footprint and deliver world-class, personalized entertainment experiences to consumers around the world. The SEO Analyst will perform Search Engine Optimization for the Disney Direct-to-Consumer and International segment. The SEO Analyst will help manage multiple SEO projects and campaigns as part of a larger SEO team and should be someone who is passionate about online marketing with a track record of achieving business goals. This individual should be able to make decisions that reflect an up-to-date understanding of SEO strategies. College degree (or equivalent experience) Pays high attention to detail Reliable communication and interpersonal skills, both verbal and written Organizational and project management skills, including the ability to prioritize and manage multiple deliverables on tight timelines Ability to analyze, synthesize, and communicate critical data and adjust strategies as needed Diplomacy and confidence to work with clients and colleagues effectively Strong emotional intelligence Self-starter Team player Strong work ethic High degree of ownership and accountability 3+ years of experience with a demonstrated interest for SEO SEO and web development experience Web analytics experience Up-to-date knowledge of SEO strategies Solid understanding of general online marketing Knowledge of API and JS web development Knowledge of server and caching technologies Diagnose and solve technical SEO issues Provide SEO editorial support Create SEO documentation Work effectively with team leads to implement SEO tasks Measure search performance Report SEO results Required Education : College degree (or equivalent experience) Preferred Education : 3+ years of experience with a demonstrated interest for SEO SEO and web development experience Web analytics experience Up-to-date knowledge of SEO strategies Solid understanding of general online marketing Knowledge of API and JS web development Knowledge of server and caching technologies Company Overview : Digital and Interactive Media
The Data Scientist will work within the ESPN Consumer Data Platform – a big data platform responsible for collection of all the consumer integrations across ESPN products and build machine learning models which will impact millions of fans across the world. You will be charged with delivering actionable data insights and data science solutions from ESPN’s large and diverse set of first and third party data sources. This data will come from every aspect of the user journey and product experience - user on-boarding, registration, personalization, ad-sales. Data models will be both implicit and explicit. The primary objective will be to apply modern data science techniques to discover patterns in user behavior that can be leveraged to drive three main metrics – user frequency, user engagement and revenue yield. Further, you will be tasked with building models to segment and cluster ESPN’s vast amount of digital and broadcast content – marrying these models with user behavior patterning to deliver personalized, unique experiences to each ESPN user. You will work closely with Product Managers, Designers, Audience Development and Content Development to identify areas of opportunity. You’ll work with the entirety of ESPN Technology to build infrastructure and systems that support scalable consumption of the models you build arosss the enterprise. You’ll evangelize the work product of the data science function within the company – both upward to executive management and across the organization to peer and constituent groups. You’ll be an excellent communicator, communicating insight, progress and plans to all levels of the company. You will be responsible for creating and approving artifacts designed to document models, requirements, and results.. You’ll bring your knowledge of standard data science methods including, but not limited to machine and deep learning, neural net processing, to bear in combination with an understanding of common toolsets such as ‘R’ or python or similar tools. Furthermore, you will be skilled in standard machine learning models like regression, instance-based, decision tress, Bayesian, clustering and other models and you will use these to build the user, revenue and content systems referenced above. Masters degree in Statistics/Mathematics or related discipline BA/BS in Statistics/Mathematics or related discipline. Advanced understanding of machine learning techniques and models. Data and analytics/measurement experience in digital or mobile app environment preferred. Data driven problem solver with an aptitude for turning large data sets into insights and actions Experience working with product and business partners to deliver actionable products beyond theoretical use cases. Minimum 4 years of work experience in data science. Expert knowledge of a common data science toolkit such as ‘R’ or similar. Trained in industry standard machine learning methodologies Ability to operate effectively in a team-oriented and collaborative environment. Excellent communication skills and ability to interact with all levels of end users and technical resources Creative thinking and motivated self-starter Passionate sports fan and familiarity with ESPN’s products and services Selecting methods for performing advanced data analysis. Build machine learning models to solve business problems such as but not limited to recommendations, predictive modelling and churn rate analysis. Test and validate models to make sure models are meeting mnimum quality standards. Build deep user understanding models, educate business stake holders how to use them to solve business problems. Cleary communicate design & development strategies to all stake holders, educate them as and when needed. Establishes, supports and maintains standards of the analytics and data science process. Work with engineering team to build infrastructure designed to facilitate the construction of models and the exposure of those models to end users throughout the company. Work with engineering team to automate daily monitoring of models in production, help troubleshoot issues and make necessary improvements as needed. Performing ad hoc analysis, interpreting and communicating results in a clear manner Processing, cleansing and verifying the integrity of data used for analysis Evangelize the work product of the data science function within the company - both upward to executive management and across to peers and constituent groups. Coordinate and execute experiments and create frameworks to support those experiments designed to inform both the strategic and tactical initiatives of the Product team. Assist in the preparation of presentations and formal analysis in support of executive decision making and strategy development. Required Education : BA/BS in Statistics/Mathematics or related discipline. Preferred Education : Minimum 4 years of work experience in data science. Expert knowledge of a common data science toolkit such as ‘R’ or similar. Trained in industry standard machine learning methodologies Ability to operate effectively in a team-oriented and collaborative environment. Excellent communication skills and ability to interact with all levels of end users and technical resources Creative thinking and motivated self-starter Passionate sports fan and familiarity with ESPN’s products and services Company Overview : Data
Oct 18, 2018
Full-time
The Data Scientist will work within the ESPN Consumer Data Platform – a big data platform responsible for collection of all the consumer integrations across ESPN products and build machine learning models which will impact millions of fans across the world. You will be charged with delivering actionable data insights and data science solutions from ESPN’s large and diverse set of first and third party data sources. This data will come from every aspect of the user journey and product experience - user on-boarding, registration, personalization, ad-sales. Data models will be both implicit and explicit. The primary objective will be to apply modern data science techniques to discover patterns in user behavior that can be leveraged to drive three main metrics – user frequency, user engagement and revenue yield. Further, you will be tasked with building models to segment and cluster ESPN’s vast amount of digital and broadcast content – marrying these models with user behavior patterning to deliver personalized, unique experiences to each ESPN user. You will work closely with Product Managers, Designers, Audience Development and Content Development to identify areas of opportunity. You’ll work with the entirety of ESPN Technology to build infrastructure and systems that support scalable consumption of the models you build arosss the enterprise. You’ll evangelize the work product of the data science function within the company – both upward to executive management and across the organization to peer and constituent groups. You’ll be an excellent communicator, communicating insight, progress and plans to all levels of the company. You will be responsible for creating and approving artifacts designed to document models, requirements, and results.. You’ll bring your knowledge of standard data science methods including, but not limited to machine and deep learning, neural net processing, to bear in combination with an understanding of common toolsets such as ‘R’ or python or similar tools. Furthermore, you will be skilled in standard machine learning models like regression, instance-based, decision tress, Bayesian, clustering and other models and you will use these to build the user, revenue and content systems referenced above. Masters degree in Statistics/Mathematics or related discipline BA/BS in Statistics/Mathematics or related discipline. Advanced understanding of machine learning techniques and models. Data and analytics/measurement experience in digital or mobile app environment preferred. Data driven problem solver with an aptitude for turning large data sets into insights and actions Experience working with product and business partners to deliver actionable products beyond theoretical use cases. Minimum 4 years of work experience in data science. Expert knowledge of a common data science toolkit such as ‘R’ or similar. Trained in industry standard machine learning methodologies Ability to operate effectively in a team-oriented and collaborative environment. Excellent communication skills and ability to interact with all levels of end users and technical resources Creative thinking and motivated self-starter Passionate sports fan and familiarity with ESPN’s products and services Selecting methods for performing advanced data analysis. Build machine learning models to solve business problems such as but not limited to recommendations, predictive modelling and churn rate analysis. Test and validate models to make sure models are meeting mnimum quality standards. Build deep user understanding models, educate business stake holders how to use them to solve business problems. Cleary communicate design & development strategies to all stake holders, educate them as and when needed. Establishes, supports and maintains standards of the analytics and data science process. Work with engineering team to build infrastructure designed to facilitate the construction of models and the exposure of those models to end users throughout the company. Work with engineering team to automate daily monitoring of models in production, help troubleshoot issues and make necessary improvements as needed. Performing ad hoc analysis, interpreting and communicating results in a clear manner Processing, cleansing and verifying the integrity of data used for analysis Evangelize the work product of the data science function within the company - both upward to executive management and across to peers and constituent groups. Coordinate and execute experiments and create frameworks to support those experiments designed to inform both the strategic and tactical initiatives of the Product team. Assist in the preparation of presentations and formal analysis in support of executive decision making and strategy development. Required Education : BA/BS in Statistics/Mathematics or related discipline. Preferred Education : Minimum 4 years of work experience in data science. Expert knowledge of a common data science toolkit such as ‘R’ or similar. Trained in industry standard machine learning methodologies Ability to operate effectively in a team-oriented and collaborative environment. Excellent communication skills and ability to interact with all levels of end users and technical resources Creative thinking and motivated self-starter Passionate sports fan and familiarity with ESPN’s products and services Company Overview : Data
At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. We’re looking for an intellectually curious, business-savvy, analytical powerhouse to join The Walt Disney Company’s Direct-To-Consumer & International (DTCI) segment as an associate data scientiston the ad sales team. In this role, you will be responsible for driving improvements across DTCI’s portfolio of offerings by using data. Working collaboratively with cross-functional teams, you will develop, drive, and oversee new strategies to ensure the growth of the business and the overall bottom line. B.A. or B.S. (MS, MBA, or PhD a plus) from a top institution in a quantitative field (Math/Statistics, CS, Engineering, Business, Economics, experimental science, or similar) 3+ years demonstrable experience driving measurable results (monetization, engagement) with digital products across various business models Innovative thinker capable of operating both in a strategic capacity (big-picture perspective, asks "why") and a hands-on/execution capacity (detail-oriented, conscientious) Excellent understanding of statistics and the ability to confidently translate statistical analyses into compelling and actionable recommendations Proven ability in predictive analytics and modeling Strong experience with writing SQL to extract and manipulate data at the source Experience with R, Python, or other statistical computing packages Experience building complex visualizations (Tableau, Looker a plus) Experience working with social and web analytics and publishing platforms (e.g. Facebook Insights and Audiences) a plus Knowledge of Salesforce DMP, Adobe Audience Manager, Oracle BlueKai or other DMPs a plus Experience with consumer behavior and insights analysis (transactional and usage) Great communication and teamwork skills Self-motivated with the ability to work independently Perform business intelligence analysis and data mining on large, complex data sets to understand user behavior across the portfolio Help grow a multichannel advertising technology capability by leveraging internal and external datasets to expand our reach within and across platforms Build predictive models and algorithms to optimize products Develop new tools, statistical models, and analysis processes to improve how data is used across the organization Distill and socialize insights across all levels of DTCI, as well as other segments of The Walt Disney Company to help drive decision making Provide data visualization, using Tableau, advanced Excel functionality and other business intelligence tools to build data reporting dashboards Through industry research, ongoing education, and practical experience, become a leading subject matter expert in digital user behavior, monetization, and engagement Required Education : B.A. or B.S. (MS, MBA, or PhD a plus) from a top institution in a quantitative field (Math/Statistics, CS, Engineering, Business, Economics, experimental science, or similar) Preferred Education : 3+ years demonstrable experience driving measurable results (monetization, engagement) with digital products across various business models Innovative thinker capable of operating both in a strategic capacity (big-picture perspective, asks "why") and a hands-on/execution capacity (detail-oriented, conscientious) Excellent understanding of statistics and the ability to confidently translate statistical analyses into compelling and actionable recommendations Proven ability in predictive analytics and modeling Strong experience with writing SQL to extract and manipulate data at the source Experience with R, Python, or other statistical computing packages Experience building complex visualizations (Tableau, Looker a plus) Experience working with social and web analytics and publishing platforms (e.g. Facebook Insights and Audiences) a plus Knowledge of Salesforce DMP, Adobe Audience Manager, Oracle BlueKai or other DMPs a plus Experience with consumer behavior and insights analysis (transactional and usage) Great communication and teamwork skills Self-motivated with the ability to work independently Company Overview : Data
Oct 18, 2018
Full-time
At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. We’re looking for an intellectually curious, business-savvy, analytical powerhouse to join The Walt Disney Company’s Direct-To-Consumer & International (DTCI) segment as an associate data scientiston the ad sales team. In this role, you will be responsible for driving improvements across DTCI’s portfolio of offerings by using data. Working collaboratively with cross-functional teams, you will develop, drive, and oversee new strategies to ensure the growth of the business and the overall bottom line. B.A. or B.S. (MS, MBA, or PhD a plus) from a top institution in a quantitative field (Math/Statistics, CS, Engineering, Business, Economics, experimental science, or similar) 3+ years demonstrable experience driving measurable results (monetization, engagement) with digital products across various business models Innovative thinker capable of operating both in a strategic capacity (big-picture perspective, asks "why") and a hands-on/execution capacity (detail-oriented, conscientious) Excellent understanding of statistics and the ability to confidently translate statistical analyses into compelling and actionable recommendations Proven ability in predictive analytics and modeling Strong experience with writing SQL to extract and manipulate data at the source Experience with R, Python, or other statistical computing packages Experience building complex visualizations (Tableau, Looker a plus) Experience working with social and web analytics and publishing platforms (e.g. Facebook Insights and Audiences) a plus Knowledge of Salesforce DMP, Adobe Audience Manager, Oracle BlueKai or other DMPs a plus Experience with consumer behavior and insights analysis (transactional and usage) Great communication and teamwork skills Self-motivated with the ability to work independently Perform business intelligence analysis and data mining on large, complex data sets to understand user behavior across the portfolio Help grow a multichannel advertising technology capability by leveraging internal and external datasets to expand our reach within and across platforms Build predictive models and algorithms to optimize products Develop new tools, statistical models, and analysis processes to improve how data is used across the organization Distill and socialize insights across all levels of DTCI, as well as other segments of The Walt Disney Company to help drive decision making Provide data visualization, using Tableau, advanced Excel functionality and other business intelligence tools to build data reporting dashboards Through industry research, ongoing education, and practical experience, become a leading subject matter expert in digital user behavior, monetization, and engagement Required Education : B.A. or B.S. (MS, MBA, or PhD a plus) from a top institution in a quantitative field (Math/Statistics, CS, Engineering, Business, Economics, experimental science, or similar) Preferred Education : 3+ years demonstrable experience driving measurable results (monetization, engagement) with digital products across various business models Innovative thinker capable of operating both in a strategic capacity (big-picture perspective, asks "why") and a hands-on/execution capacity (detail-oriented, conscientious) Excellent understanding of statistics and the ability to confidently translate statistical analyses into compelling and actionable recommendations Proven ability in predictive analytics and modeling Strong experience with writing SQL to extract and manipulate data at the source Experience with R, Python, or other statistical computing packages Experience building complex visualizations (Tableau, Looker a plus) Experience working with social and web analytics and publishing platforms (e.g. Facebook Insights and Audiences) a plus Knowledge of Salesforce DMP, Adobe Audience Manager, Oracle BlueKai or other DMPs a plus Experience with consumer behavior and insights analysis (transactional and usage) Great communication and teamwork skills Self-motivated with the ability to work independently Company Overview : Data
