Provides analytic support and services across the organization. Develops new analytical models and business intelligence solutions in order to provide actionable insights. Works with business stakeholders to model and frame meaningful business scenarios which materially impact critical business processes and/or decisions. Delivers projects related to performance dashboards, advanced analytics, enterprise data management, master data management, and analytic applications using a combination of methodologies.
Candidate demonstrates intellectual curiosity, business acuity and attention to detail. Experience with business intelligence tools, data mining concepts, predictive analytic concepts and data integration tools strongly preferred. Candidate will possess, or quickly gain, an understanding of SAP and Microsoft analytic tools as well as an understanding of data modelling and data integration tools and concepts. Must be able to learn new technologies/concepts and be proactive in applying that knowledge to work. Candidate will demonstrate excellent communication skills and comfort in leading discussions.
Minimum Qualifications
MSc in Business, Economics, Mathematics, Statistics, or Computer Science, OR
Bachelor’s in Business, Economics, Mathematics, Statistics, or Computer Science (OR the equivalent combination of directly related education and experience in quantitative, business intelligence, and data management analysis), AND
Three (3) years directly related subject matter expertise, quantitative, business intelligence and data management skills.
Preferred Qualifications
Data analysis techniques including segmentation analysis, propensity modeling, and multivariate analysis.
Data modeling and database design for analytics and business intelligence solutions.
Dashboard design techniques.
Strong analytical skills.
Intellectual curiosity with the ability to analyze and manage complex problems and design integrated solutions.
Ability to effectively communicate complex ideas across all levels of the organization.
Work effectively in a collaborative team environment along with the commitment to the overall success of a group.
Benefits
Complete benefits plan and retirement program.
To Apply
Interested individuals should start by clicking " Apply Now" on icrunchdata, then complete the online application and submit cover letter and resume by April 30, 2019.
AN EQUAL OPPORTUNITY EMPLOYER OF MINORITIES, WOMEN, DISABLED AND VETERANS
Apr 16, 2019
Full-time
Provides analytic support and services across the organization. Develops new analytical models and business intelligence solutions in order to provide actionable insights. Works with business stakeholders to model and frame meaningful business scenarios which materially impact critical business processes and/or decisions. Delivers projects related to performance dashboards, advanced analytics, enterprise data management, master data management, and analytic applications using a combination of methodologies.
Candidate demonstrates intellectual curiosity, business acuity and attention to detail. Experience with business intelligence tools, data mining concepts, predictive analytic concepts and data integration tools strongly preferred. Candidate will possess, or quickly gain, an understanding of SAP and Microsoft analytic tools as well as an understanding of data modelling and data integration tools and concepts. Must be able to learn new technologies/concepts and be proactive in applying that knowledge to work. Candidate will demonstrate excellent communication skills and comfort in leading discussions.
Minimum Qualifications
MSc in Business, Economics, Mathematics, Statistics, or Computer Science, OR
Bachelor’s in Business, Economics, Mathematics, Statistics, or Computer Science (OR the equivalent combination of directly related education and experience in quantitative, business intelligence, and data management analysis), AND
Three (3) years directly related subject matter expertise, quantitative, business intelligence and data management skills.
Preferred Qualifications
Data analysis techniques including segmentation analysis, propensity modeling, and multivariate analysis.
Data modeling and database design for analytics and business intelligence solutions.
Dashboard design techniques.
Strong analytical skills.
Intellectual curiosity with the ability to analyze and manage complex problems and design integrated solutions.
Ability to effectively communicate complex ideas across all levels of the organization.
Work effectively in a collaborative team environment along with the commitment to the overall success of a group.
Benefits
Complete benefits plan and retirement program.
To Apply
Interested individuals should start by clicking " Apply Now" on icrunchdata, then complete the online application and submit cover letter and resume by April 30, 2019.
AN EQUAL OPPORTUNITY EMPLOYER OF MINORITIES, WOMEN, DISABLED AND VETERANS
The Disney Parks, Experiences, and Consumer Products (DPECP) group is seeking a motivated Senior User Research Analyst to join the Consumer Insight team that supports the Consumer Products business. The Consumer Insight Senior Analyst will be responsible for supporting and assisting with research studies (qualitative and quantitative) and collaborating with teams throughout the larger DPECP organization. The Consumer Insight Senior Analyst will gather insights to inform product development, retail/e-commerce strategies, and marketing development.
Responsibilities:
Assist in the implementation and day-to-day management of custom qualitative research studies from inception to completion
Assist the Manager and the larger team across all aspects of qualitative research projects (e.g., focus groups, 1:1 think-aloud, in-depth interviews), including client management, development and review of discussion guides, stimuli management, analysis, reporting, and presentation of research results
Support and manage internal ad-hoc requests and business questions by analyzing a variety of data sets (quantitative and qualitative) and communicating key insights
Utilize research across syndicated sources/tools to continuously track consumer trends, consumption habits, preferences and behaviors
Specific responsibilities include: participating in research design conversations, supporting and/or managing the research process end-to-end (including all product deliverables to ensure the quality and accuracy of testing), data analysis, reporting (including implications), and presentation of findings to key stakeholders (including upper management)
Basic Qualifications:
2+ years of primary market research experience required, managing or assisting on custom research (qualitative) and moderating studies
Knowledge and experience in the implementation of custom qualitative market research methodologies
Experience with project management and data analysis, including the ability to manage multiple priorities, projects, and deadlines simultaneously
Strong analytical skills – statistics experience and familiarity with SPSS a plus
Able to synthesize a lot of information into a highly visual, concise story (expertise in PowerPoint or Keynote)
Professional demeanor and excellent communication skills (verbal and written, including business writing and presenting to others)
Demonstrated interpersonal and relationship-building skills
Possesses an enthusiastic and positive “can do” outlook, even when under pressure
Highly detail-oriented and well-organized - able to work in a fast-paced environment, prioritize, and manage multiple projects simultaneously
Self-motivated - able to self-start projects and solicit collaborations
Comfortable working within a fluid and flexible culture; adjusts well to change and/or shifting priorities
Analytical thinker who has a passion for learning/insights, enjoys problem-solving, and is willing to challenge traditional thinking
Some travel required (including running evening focus groups and usability studies)
Computer Skills: Word, Excel, PowerPoint, Outlook. Keynote and SPSS experience a plus.
Preferred Qualifications:
Experience conducting research in a consumer products and/or entertainment or digital company
Required Education:
Bachelor's degree required; coursework in the fields of Market Research, Communications, Psychology, Consumer Behavior, Human Computer Interaction, Human Factors, English, or Social Sciences preferred
Apr 07, 2019
Full-time
The Disney Parks, Experiences, and Consumer Products (DPECP) group is seeking a motivated Senior User Research Analyst to join the Consumer Insight team that supports the Consumer Products business. The Consumer Insight Senior Analyst will be responsible for supporting and assisting with research studies (qualitative and quantitative) and collaborating with teams throughout the larger DPECP organization. The Consumer Insight Senior Analyst will gather insights to inform product development, retail/e-commerce strategies, and marketing development.
Responsibilities:
Assist in the implementation and day-to-day management of custom qualitative research studies from inception to completion
Assist the Manager and the larger team across all aspects of qualitative research projects (e.g., focus groups, 1:1 think-aloud, in-depth interviews), including client management, development and review of discussion guides, stimuli management, analysis, reporting, and presentation of research results
Support and manage internal ad-hoc requests and business questions by analyzing a variety of data sets (quantitative and qualitative) and communicating key insights
Utilize research across syndicated sources/tools to continuously track consumer trends, consumption habits, preferences and behaviors
Specific responsibilities include: participating in research design conversations, supporting and/or managing the research process end-to-end (including all product deliverables to ensure the quality and accuracy of testing), data analysis, reporting (including implications), and presentation of findings to key stakeholders (including upper management)
Basic Qualifications:
2+ years of primary market research experience required, managing or assisting on custom research (qualitative) and moderating studies
Knowledge and experience in the implementation of custom qualitative market research methodologies
Experience with project management and data analysis, including the ability to manage multiple priorities, projects, and deadlines simultaneously
Strong analytical skills – statistics experience and familiarity with SPSS a plus
Able to synthesize a lot of information into a highly visual, concise story (expertise in PowerPoint or Keynote)
Professional demeanor and excellent communication skills (verbal and written, including business writing and presenting to others)
Demonstrated interpersonal and relationship-building skills
Possesses an enthusiastic and positive “can do” outlook, even when under pressure
Highly detail-oriented and well-organized - able to work in a fast-paced environment, prioritize, and manage multiple projects simultaneously
Self-motivated - able to self-start projects and solicit collaborations
Comfortable working within a fluid and flexible culture; adjusts well to change and/or shifting priorities
Analytical thinker who has a passion for learning/insights, enjoys problem-solving, and is willing to challenge traditional thinking
Some travel required (including running evening focus groups and usability studies)
Computer Skills: Word, Excel, PowerPoint, Outlook. Keynote and SPSS experience a plus.
Preferred Qualifications:
Experience conducting research in a consumer products and/or entertainment or digital company
Required Education:
Bachelor's degree required; coursework in the fields of Market Research, Communications, Psychology, Consumer Behavior, Human Computer Interaction, Human Factors, English, or Social Sciences preferred
Supporting the Disney Advertising Sales organization within our new Direct To Consumer & International (DTCI) segment, the Data Science & Analytics team are subject matter experts in each of the following areas:
Creating and optimizing audience segmentation models that enable us to target specific audiences based on brand affinities, app behavior, and video viewership among other things.
Examining other ways to expand audience sizes and depth through look-alike modeling of behaviors within our own network of digital properties.
We’re looking for an intellectually curious, business-savvy, analytical powerhouse to join the Data Science & Analytics team as a data scientist. 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.
Responsibilities:
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.
Design, analyze, and present results from controlled experiments to test hypotheses and improve best practices across the organization.
Through industry research, ongoing education, and practical experience, become a leading subject matter expert in digital user behavior, monetization, and engagement.
Basic Qualifications:
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 Hive/Hadoop/cloud data platforms a plus)
Experience with R, Python, or other statistical computing packages
Experience building complex visualizations (Tableau, Looker a plus)
Experience with consumer behavior and insights analysis (transactional and usage)
Great communication and teamwork skills
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
Self-motivated with the ability to work independently
Required Education:
B.A. or B.S. (MS, MBA, or PhD a plus) in a quantitative field (Math/Statistics, CS, Engineering, Business, Economics, experimental science, or similar)
Apr 06, 2019
Full-time
Supporting the Disney Advertising Sales organization within our new Direct To Consumer & International (DTCI) segment, the Data Science & Analytics team are subject matter experts in each of the following areas:
Creating and optimizing audience segmentation models that enable us to target specific audiences based on brand affinities, app behavior, and video viewership among other things.
Examining other ways to expand audience sizes and depth through look-alike modeling of behaviors within our own network of digital properties.
We’re looking for an intellectually curious, business-savvy, analytical powerhouse to join the Data Science & Analytics team as a data scientist. 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.
Responsibilities:
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.
Design, analyze, and present results from controlled experiments to test hypotheses and improve best practices across the organization.
Through industry research, ongoing education, and practical experience, become a leading subject matter expert in digital user behavior, monetization, and engagement.
Basic Qualifications:
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 Hive/Hadoop/cloud data platforms a plus)
Experience with R, Python, or other statistical computing packages
Experience building complex visualizations (Tableau, Looker a plus)
Experience with consumer behavior and insights analysis (transactional and usage)
Great communication and teamwork skills
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
Self-motivated with the ability to work independently
Required Education:
B.A. or B.S. (MS, MBA, or PhD a plus) in a quantitative field (Math/Statistics, CS, Engineering, Business, Economics, experimental science, or similar)
“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 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 Associate 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.
Responsibilities:
The Associate Digital Analyst’s key responsibilities include, but are not limited to, the following:
Manage the compilation and dissemination of regular (e.g. weekly, monthly, quarterly, etc.) reports on performance of the digital channel.
Generate insight from site data and communicate opportunities or issues.
Collaborate with business, technology and analytics partners to determine needs and assist with defining data collection requirements.
Work with implementation specialists to validate website and app tracking.
Design effective and impactful reports and visualizations for business and technical audiences.
Support business unit teams, product management groups and other teams with ad-hoc reporting and in-depth website analysis.
Create presentations to highlight analysis and tell the story.
Basic Qualifications:
The Associate Digital Analyst’s required qualifications include:
Ability to derive actionable insights from data and effectively guide decision-making.
Ability to manage multiple priorities in a fast-paced, complex business environment
Excellent written and verbal communication skills.
Proactive problem-solving and critical thinking skills.
Ability to manage time effectively and consistently meet deadlines.
Proficient in Microsoft Office suite.
Familiarity with digital analytics tools and practices
Preferred Qualifications:
The Associate Digital Analyst’s preferred qualifications include:
2+ years relevant work experience in an analytical field.
1+ years of experience with digital analytics tools such as Adobe SiteCatalyst or Google Analytics.
Travel industry and ecommerce experience.
Experience with A/B testing and website optimization.
Experience with Adobe SDK and app tagging.
Ability to apply statistical rigor to analyses.
Knowledge of web page construction and/or user experience design.
Experience with business intelligence tools.
Experience with SQL, Hive, SAS and/or other programming languages.
Required Education:
Bachelor’s degree in analytical/quantitative field – e.g. statistics, economics, mathematics, marketing analytics, engineering, etc.
Preferred Education:
Master’s degree in an analytical/quantitative field or equivalent work experience.
Apr 13, 2019
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 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 Associate 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.
Responsibilities:
The Associate Digital Analyst’s key responsibilities include, but are not limited to, the following:
Manage the compilation and dissemination of regular (e.g. weekly, monthly, quarterly, etc.) reports on performance of the digital channel.
Generate insight from site data and communicate opportunities or issues.
Collaborate with business, technology and analytics partners to determine needs and assist with defining data collection requirements.
Work with implementation specialists to validate website and app tracking.
Design effective and impactful reports and visualizations for business and technical audiences.
Support business unit teams, product management groups and other teams with ad-hoc reporting and in-depth website analysis.
Create presentations to highlight analysis and tell the story.
Basic Qualifications:
The Associate Digital Analyst’s required qualifications include:
Ability to derive actionable insights from data and effectively guide decision-making.
Ability to manage multiple priorities in a fast-paced, complex business environment
Excellent written and verbal communication skills.
Proactive problem-solving and critical thinking skills.
Ability to manage time effectively and consistently meet deadlines.
Proficient in Microsoft Office suite.
Familiarity with digital analytics tools and practices
Preferred Qualifications:
The Associate Digital Analyst’s preferred qualifications include:
2+ years relevant work experience in an analytical field.
1+ years of experience with digital analytics tools such as Adobe SiteCatalyst or Google Analytics.
Travel industry and ecommerce experience.
Experience with A/B testing and website optimization.
Experience with Adobe SDK and app tagging.
Ability to apply statistical rigor to analyses.
Knowledge of web page construction and/or user experience design.
Experience with business intelligence tools.
Experience with SQL, Hive, SAS and/or other programming languages.
Required Education:
Bachelor’s degree in analytical/quantitative field – e.g. statistics, economics, mathematics, marketing analytics, engineering, etc.
Preferred Education:
Master’s degree in an analytical/quantitative field or equivalent work experience.
This position will develop, analyze and execute both pricing strategies and specific tactics to maximize overall profitability within the Hardlines and Parks Experience & Events divisions within the Merchandise line of business for Walt Disney Parks & Resorts.
Responsibilities:
Help us grow - Identify revenue and profit growth opportunities, evaluate the financial impact of changes to the business, present pricing decisions for a wide variety of venues.
Provide revenue assumptions and projections for new concepts.
Provide strategic and tactical support - Develop strategies and implement daily price changes, support the development and valuation of the Annual Operating Plan (AOP).
Achieve business goals and objectives - Develop and maintain reporting on an ad-hoc and recurring basis, build and deliver PowerPoint presentations to partners and clients at various levels within the organization, monitor industry trends and competitive benchmarks, and assist with project management of key business initiatives.
Collaborate with key partners - Develop and maintain positive service-oriented relationships with partners and clients.
Basic Qualifications:
Advanced knowledge and skills in Excel
Demonstrated strong analytical skills
Proven success collaborating with a range of partners understanding multiple perspectives
Strong written and verbal communication skills to convey data and analysis to partners at all levels
Demonstrated ability to manage multiple tasks in a fast-paced environment
Ability to work in a team environment with a positive demeanor, generating innovative solutions to complex challenges
Demonstrated ability to meet deadlines, handle multiple priorities, and perform job responsibilities accurately with minimal supervision
Strong sense of responsibility, ownership, and pride in delivering quality results for the Merchandise line of business
Strong attention to detail, data accuracy and an inquisitiveness to determine explanations, with an ability to consolidate multiple sources of information/analyses into a cohesive story/recommendation
Preferred Qualifications:
Three plus years’ experience in a financial related role
Pricing and/or revenue management experience
Advanced knowledge and experience in SQL
Demonstrated knowledge of Walt Disney Parks & Resorts operations, business units, and product offerings
Demonstrated strong leadership skills
Familiarity with the Disney Merchandise line of business
Professional retail experience
Required Education:
Bachelor’s degree in Business, Finance, Industrial Engineering, Economics, Statistics, Mathematics or related field
Preferred Education:
Master's degree in Business, Finance, Industrial Engineering, Economics, Statistics or related quantitative field
Apr 10, 2019
Full-time
This position will develop, analyze and execute both pricing strategies and specific tactics to maximize overall profitability within the Hardlines and Parks Experience & Events divisions within the Merchandise line of business for Walt Disney Parks & Resorts.
Responsibilities:
Help us grow - Identify revenue and profit growth opportunities, evaluate the financial impact of changes to the business, present pricing decisions for a wide variety of venues.
Provide revenue assumptions and projections for new concepts.
Provide strategic and tactical support - Develop strategies and implement daily price changes, support the development and valuation of the Annual Operating Plan (AOP).
Achieve business goals and objectives - Develop and maintain reporting on an ad-hoc and recurring basis, build and deliver PowerPoint presentations to partners and clients at various levels within the organization, monitor industry trends and competitive benchmarks, and assist with project management of key business initiatives.
Collaborate with key partners - Develop and maintain positive service-oriented relationships with partners and clients.
Basic Qualifications:
Advanced knowledge and skills in Excel
Demonstrated strong analytical skills
Proven success collaborating with a range of partners understanding multiple perspectives
Strong written and verbal communication skills to convey data and analysis to partners at all levels
Demonstrated ability to manage multiple tasks in a fast-paced environment
Ability to work in a team environment with a positive demeanor, generating innovative solutions to complex challenges
Demonstrated ability to meet deadlines, handle multiple priorities, and perform job responsibilities accurately with minimal supervision
Strong sense of responsibility, ownership, and pride in delivering quality results for the Merchandise line of business
Strong attention to detail, data accuracy and an inquisitiveness to determine explanations, with an ability to consolidate multiple sources of information/analyses into a cohesive story/recommendation
Preferred Qualifications:
Three plus years’ experience in a financial related role
Pricing and/or revenue management experience
Advanced knowledge and experience in SQL
Demonstrated knowledge of Walt Disney Parks & Resorts operations, business units, and product offerings
Demonstrated strong leadership skills
Familiarity with the Disney Merchandise line of business
Professional retail experience
Required Education:
Bachelor’s degree in Business, Finance, Industrial Engineering, Economics, Statistics, Mathematics or related field
Preferred Education:
Master's degree in Business, Finance, Industrial Engineering, Economics, Statistics or related quantitative field
The Disney Decision Science and Integration (DDSI) consulting team is responsible for supporting clients across The Walt Disney Company including Direct-to-Consumer & International, Media Networks (e.g., ABC, ESPN), Studio Entertainment (e.g., The Walt Disney Studios, Disney Theatrical Group) and Parks, Experiences & Consumer Products. DDSI leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. The DDSI Data Integration (DI) team is looking to fill a technical hands-on role to work across current and upcoming projects such as DLR Rubiks/MIRS, Resorts Dynamic Pricing (RDP), and Forecast Analytics (FA).
Responsibilities:
This position requires a close partnership with MSI, Science and Technology team members to perform activities such as data requirements gathering, data validation scripting and review, producing and/or reviewing data aggregation datasets for our Science Models and Tableau visualizations, building and monitoring daily batch update processes, creation of Tableau reports, and ad-hoc activities required by the projects. Expertise functioning as a technical lead and having hands-on proficiency with SQL, Tableau, Python, Spark, PySpark, SparkSQL, and Hadoop/Hive will be necessary in this role.
Basic Qualifications:
8+ years of overall technology experience
Proven track record functioning as a Technical Lead (guiding/directing other technical resources) on projects
5+ years of experience and proficiency in SQL (on a variety of database platforms)
2+ years of expertise developing with Python
Experience and proficiency with data visualization tools (e.g. Tableau)
Hands-on expertise with PySpark and SparkSQL on company projects
Experience with Hadoop/Hive
Background with ETL and ELT tools and processes
Strong analytical skills in data analysis
Experience with Github/Gitlab for software development and promotion
Demonstrated partnering and communication skills; able to shift readily between technical and non-technical terminology depending on audience
Experience and proficiency in requirements elicitation and documentation for data processing
Experience and proficiency in developing automated data validation test scenarios and scripts
Proficiency acquiring, organizing, cleansing and manipulating large amounts of data
Proven sense of responsibility and the ability to meet deadlines and handle multiple priorities
Preferred Qualifications:
Experience with project management tools, including Smartsheet and Version 1
Hands-on experience interacting with Technology teams to promote code across multiple environments
Experience and proficiency in developing automated data transformation processes
Solid understanding of AWS
Database design and implementation experience
Required Education:
Bachelor degree in Computer Science, Mathematics, Engineering, Economics, Business Analytics, or other quantitative field
Preferred Education:
Master’s degree in Computer Science, Mathematics, Engineering, Economics, Business Analytics, or other quantitative field
Mar 29, 2019
Full-time
The Disney Decision Science and Integration (DDSI) consulting team is responsible for supporting clients across The Walt Disney Company including Direct-to-Consumer & International, Media Networks (e.g., ABC, ESPN), Studio Entertainment (e.g., The Walt Disney Studios, Disney Theatrical Group) and Parks, Experiences & Consumer Products. DDSI leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. The DDSI Data Integration (DI) team is looking to fill a technical hands-on role to work across current and upcoming projects such as DLR Rubiks/MIRS, Resorts Dynamic Pricing (RDP), and Forecast Analytics (FA).
Responsibilities:
This position requires a close partnership with MSI, Science and Technology team members to perform activities such as data requirements gathering, data validation scripting and review, producing and/or reviewing data aggregation datasets for our Science Models and Tableau visualizations, building and monitoring daily batch update processes, creation of Tableau reports, and ad-hoc activities required by the projects. Expertise functioning as a technical lead and having hands-on proficiency with SQL, Tableau, Python, Spark, PySpark, SparkSQL, and Hadoop/Hive will be necessary in this role.
Basic Qualifications:
8+ years of overall technology experience
Proven track record functioning as a Technical Lead (guiding/directing other technical resources) on projects
5+ years of experience and proficiency in SQL (on a variety of database platforms)
2+ years of expertise developing with Python
Experience and proficiency with data visualization tools (e.g. Tableau)
Hands-on expertise with PySpark and SparkSQL on company projects
Experience with Hadoop/Hive
Background with ETL and ELT tools and processes
Strong analytical skills in data analysis
Experience with Github/Gitlab for software development and promotion
Demonstrated partnering and communication skills; able to shift readily between technical and non-technical terminology depending on audience
Experience and proficiency in requirements elicitation and documentation for data processing
Experience and proficiency in developing automated data validation test scenarios and scripts
Proficiency acquiring, organizing, cleansing and manipulating large amounts of data
Proven sense of responsibility and the ability to meet deadlines and handle multiple priorities
Preferred Qualifications:
Experience with project management tools, including Smartsheet and Version 1
Hands-on experience interacting with Technology teams to promote code across multiple environments
Experience and proficiency in developing automated data transformation processes
Solid understanding of AWS
Database design and implementation experience
Required Education:
Bachelor degree in Computer Science, Mathematics, Engineering, Economics, Business Analytics, or other quantitative field
Preferred Education:
Master’s degree in Computer Science, Mathematics, Engineering, Economics, Business Analytics, or other quantitative field
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Walt Disney Parks and Resorts (WDPR). CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Digital & Travel Operations Analytics (DTOA) team provides analysis across the primary modes used by Guests/clients for vacation discover, planning, transacting, and management to enable decision making and optimization. The Omni-Channel Analyst is a key contributor to the DTOA Analytics team. He/she will have the opportunity to work with large data sets and cloud environment tools, and become a subject matter expert with data and source systems used within many lines of business supported by CIMA. In order to succeed in the role, the Omni-Channel Analyst must possess a passion for data, quality assurance, and analysis as this role will support partners and clients with data architecture, queries, and processes to enable more efficient and consistent reporting and analysis in the organization. In order to excel in the role, the Omni-Channel Analyst must further the analytical sophistication of the team. The position reports to the Data Strategy Manager of Omni-Channel Analytics, and does not have direct reports.
Responsibilities:
The Omni-Channel Analyst’s key responsibilities include, but are not limited to, the following: Data Strategy / Architecture
Work with business partners to determine needs and requirements
Identify and document data requirements to support both ongoing and ad hoc analysis
Learn new data sets from various lines of business, to develop an expertise in those data sets
Partner with the Data Services team to manage new data requests, document and automate data processes, and apply business logic to source data.
Data Analysis and Insights
QA data to ensure accuracy
Analyze and mine data to find opportunities in time allotted
Undertake proactive and reactive ad-hoc requests as needed
Make business recommendations based on the data findings
Drive more efficient and sophisticated analytical insights
Data Delivery / Distribution
Develop efficient and value added queries / analyst tables for ongoing and adhoc analysis
Convey and highlight recommendations to ‘tell the story’ with data
Ensure partners understand the data / tables / processes
Basic Qualifications:
2+ years of relational database experience
2+ years of analytical experience
Ability to excel in a fast-paced, complex, and ambiguous business environment
Ability to deliver work on-time
Team player mentality
“Get stuff done” approach
Attentiveness to detail
Desire to learn and grow with an organization
Proficiency in SQL, R, and/or Python programming languages
Proficiency in Microsoft Office suite
Proficiency with business intelligence tools such as Tableau
Preferred Qualifications:
3+ years of relational database experience
3+ years of analytical experience
Ability to apply statistical rigor to analyses
Knowledge of “big data” environments and tools
Experience with digital and contact center data and analytics
Experience with hospitality data and analytics
Experience with data warehouse platforms such as My SQL, SQL Server, Teradata
Experience with text mining and natural language processing
Interest in machine learning and artificial intelligence
Required Education:
Bachelor’s degree in analytical/quantitative field – e.g. statistics, economics, mathematics, marketing analytics, engineering, etc.
Preferred Education:
Master’s degree in an analytical/quantitative field or equivalent
Mar 29, 2019
Full-time
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Walt Disney Parks and Resorts (WDPR). CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Digital & Travel Operations Analytics (DTOA) team provides analysis across the primary modes used by Guests/clients for vacation discover, planning, transacting, and management to enable decision making and optimization. The Omni-Channel Analyst is a key contributor to the DTOA Analytics team. He/she will have the opportunity to work with large data sets and cloud environment tools, and become a subject matter expert with data and source systems used within many lines of business supported by CIMA. In order to succeed in the role, the Omni-Channel Analyst must possess a passion for data, quality assurance, and analysis as this role will support partners and clients with data architecture, queries, and processes to enable more efficient and consistent reporting and analysis in the organization. In order to excel in the role, the Omni-Channel Analyst must further the analytical sophistication of the team. The position reports to the Data Strategy Manager of Omni-Channel Analytics, and does not have direct reports.
Responsibilities:
The Omni-Channel Analyst’s key responsibilities include, but are not limited to, the following: Data Strategy / Architecture
Work with business partners to determine needs and requirements
Identify and document data requirements to support both ongoing and ad hoc analysis
Learn new data sets from various lines of business, to develop an expertise in those data sets
Partner with the Data Services team to manage new data requests, document and automate data processes, and apply business logic to source data.
Data Analysis and Insights
QA data to ensure accuracy
Analyze and mine data to find opportunities in time allotted
Undertake proactive and reactive ad-hoc requests as needed
Make business recommendations based on the data findings
Drive more efficient and sophisticated analytical insights
Data Delivery / Distribution
Develop efficient and value added queries / analyst tables for ongoing and adhoc analysis
Convey and highlight recommendations to ‘tell the story’ with data
Ensure partners understand the data / tables / processes
Basic Qualifications:
2+ years of relational database experience
2+ years of analytical experience
Ability to excel in a fast-paced, complex, and ambiguous business environment
Ability to deliver work on-time
Team player mentality
“Get stuff done” approach
Attentiveness to detail
Desire to learn and grow with an organization
Proficiency in SQL, R, and/or Python programming languages
Proficiency in Microsoft Office suite
Proficiency with business intelligence tools such as Tableau
Preferred Qualifications:
3+ years of relational database experience
3+ years of analytical experience
Ability to apply statistical rigor to analyses
Knowledge of “big data” environments and tools
Experience with digital and contact center data and analytics
Experience with hospitality data and analytics
Experience with data warehouse platforms such as My SQL, SQL Server, Teradata
Experience with text mining and natural language processing
Interest in machine learning and artificial intelligence
Required Education:
Bachelor’s degree in analytical/quantitative field – e.g. statistics, economics, mathematics, marketing analytics, engineering, etc.
Preferred Education:
Master’s degree in an analytical/quantitative field or equivalent
eBay is diversifying payments, this role will be power Payments ecosystem by providing insights to executive leadership, analytics related to fraud solutions, value proposition and innovation related to the overall customer experience for eBay!
Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of.
The Global Payments, Billing & Risk (GPBR) function at eBay works to ensure great experiences when buyers and sellers come together and engage in commerce on the biggest marketplace in the world. This involves comprehensively understanding Payments & Risks on eBay. Identifying the opportunity areas and helping build scalable solutions to drive great user experience.
Analytics is a critical need for each area. Core analytics capabilities include the ability to instrument right KPI’s, identify the landscape of entire function, figure out opportunities for improvement work with product and payment providers to craft scalable solutions, and monitor their performance.
The GPBR Analytics and Insights team builds this behavioral intelligence by exploring innovative interpretations of existing and new sources of data, using advanced analytical techniques, and overlaying the appropriate strategies to deliver world-class results. The group is multi-disciplinary with broad spectrum of industry experiences and deep analytical and quantitative expertise. The group is currently seeking a high energy, driven, collaborative team member that brings extensive problem solving skills to further its goal of applying cutting-edge analytics, Insights and visualization to drive payments roadmap.
The role is data and analytically intensive. Successful candidates should be quick learners, strategic thinkers, operational and execution driven facilitators, problem solvers, and have an entrepreneurial spirit. This role is heavily cross-functional and ideal for candidates who enjoy both defining and solving complex problems, while getting deeply involved in the classification domain and product partners. Skills in problem definition, rigorous analysis, and recommendation development will also be critical as well as demonstration of exceptional interpersonal skills, initiative and integrity.
Responsibilities
Develop a deep understanding of Payments ecosystem and associated risks. Model seller and buyer risk for the market place business
Structure complex, ambiguous business questions and utilize analytical skills to synthesize actionable insights to the benefit of leaders in the organization
Discover new opportunities to grow and optimize the business through analytics, financial modeling, and business case development.
Own the domain and associated deep dive analytics.
Design, plan, and execute methodologies to measure successes of business initiatives.
Collaborate with other analysts/data scientists and help guide strategy based on learning from other analyses/projects across the organization
Perform analysis, hypothesis testing, build risk strategy and policy recommendation. Conduct product performance A/B test analysis.
Create and maintain insightful automated reports and dashboards utilizing typical data quality functions (e.g. standardization, consistency, etc.)
Work closely across the matrix with teams like Finance, Marketing, Product, Engineering and senior executives
Qualifications
Bachelor’s degree in Computer Science, Engineering, MIS or other quantitative fields
5+ years’ of professional experience in using data to facilitate business decisions
Extensive experience in BI/DW best practices
Experience in efficient manipulation and analysis of large data sets
Proficiency in databases (SQL), and programming languages (at least one of following: Python, R, Ruby, Java, etc)
Exceptionally attentive to detail and embracing of teamwork
People-oriented; eager to build positive and productive relationships with a variety of stakeholders
Experience manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
Ability to shift priorities quickly, while maintaining a high degree of organization and control
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
Feb 01, 2019
Full-time
eBay is diversifying payments, this role will be power Payments ecosystem by providing insights to executive leadership, analytics related to fraud solutions, value proposition and innovation related to the overall customer experience for eBay!
Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of.
The Global Payments, Billing & Risk (GPBR) function at eBay works to ensure great experiences when buyers and sellers come together and engage in commerce on the biggest marketplace in the world. This involves comprehensively understanding Payments & Risks on eBay. Identifying the opportunity areas and helping build scalable solutions to drive great user experience.
Analytics is a critical need for each area. Core analytics capabilities include the ability to instrument right KPI’s, identify the landscape of entire function, figure out opportunities for improvement work with product and payment providers to craft scalable solutions, and monitor their performance.
The GPBR Analytics and Insights team builds this behavioral intelligence by exploring innovative interpretations of existing and new sources of data, using advanced analytical techniques, and overlaying the appropriate strategies to deliver world-class results. The group is multi-disciplinary with broad spectrum of industry experiences and deep analytical and quantitative expertise. The group is currently seeking a high energy, driven, collaborative team member that brings extensive problem solving skills to further its goal of applying cutting-edge analytics, Insights and visualization to drive payments roadmap.
The role is data and analytically intensive. Successful candidates should be quick learners, strategic thinkers, operational and execution driven facilitators, problem solvers, and have an entrepreneurial spirit. This role is heavily cross-functional and ideal for candidates who enjoy both defining and solving complex problems, while getting deeply involved in the classification domain and product partners. Skills in problem definition, rigorous analysis, and recommendation development will also be critical as well as demonstration of exceptional interpersonal skills, initiative and integrity.
Responsibilities
Develop a deep understanding of Payments ecosystem and associated risks. Model seller and buyer risk for the market place business
Structure complex, ambiguous business questions and utilize analytical skills to synthesize actionable insights to the benefit of leaders in the organization
Discover new opportunities to grow and optimize the business through analytics, financial modeling, and business case development.
Own the domain and associated deep dive analytics.
Design, plan, and execute methodologies to measure successes of business initiatives.
Collaborate with other analysts/data scientists and help guide strategy based on learning from other analyses/projects across the organization
Perform analysis, hypothesis testing, build risk strategy and policy recommendation. Conduct product performance A/B test analysis.
Create and maintain insightful automated reports and dashboards utilizing typical data quality functions (e.g. standardization, consistency, etc.)
Work closely across the matrix with teams like Finance, Marketing, Product, Engineering and senior executives
Qualifications
Bachelor’s degree in Computer Science, Engineering, MIS or other quantitative fields
5+ years’ of professional experience in using data to facilitate business decisions
Extensive experience in BI/DW best practices
Experience in efficient manipulation and analysis of large data sets
Proficiency in databases (SQL), and programming languages (at least one of following: Python, R, Ruby, Java, etc)
Exceptionally attentive to detail and embracing of teamwork
People-oriented; eager to build positive and productive relationships with a variety of stakeholders
Experience manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
Ability to shift priorities quickly, while maintaining a high degree of organization and control
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
Overview
We have an exciting opportunity on a team that is defining how we use analytics to transform customer experiences, accelerate business growth and optimize our growth efforts. We are looking for a data-driven individual with excellent analytical skills, experience in product conversion and a passion for delivering data-driven insights to join Intuit’s Analytics Center of Excellence for TurboTax.
Responsibilities
Partners with business leaders (e.g. marketing, product and customer success) to define business strategies, areas of investment, and critical priorities
Leads and nurtures a team of talented analysts with a focus on product conversion, key customer benefit metrics, and end-to-end customer experiences
Build recommendations by synthesizing multiple types of data, developing assumptions in lieu of data and using external sources to help drive business learnings and strategy development
Uses quantitative data gathered with software measurement tools, click streams and drill-downs to develop an understanding of customer behavior and make product experience recommendations
Applies statistics-based market intelligence to business issues and formulates recommendations
Define, implement and standardize metrics, reports and dashboards leveraging Tableau or other data visualization tools
Collaborate both internally and externally to ensure reporting solutions are scalable, repeatable, effective, and meet the expectations of internal customers
Take the lead on TurboTax product initiatives by defining useful hypotheses, designing robust experiments, analyzing results, presenting insights to business stakeholders and putting lessons learned into practice
Answer ad-hoc analytic questions, contribute to decision-making through opportunity sizing, and train users to self-serve standard reports leveraging Tableau
Pursue data quality, troubleshoot data validation, and see issues to resolution
Ensure data collection is optimized to provide crystal-clear visibility into the impact and value of new initiatives and product releases
Qualifications
7-10 years of web analytics or product analytics experience
Deep Subject matter expertise with clickstream data and SQL is a must
Understanding of complex web ecosystems, best practices and ability to put this knowledge into action
Experience with Tableau or another reporting solution a plus
Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations
Excellent problem-solving skills and end to end quantitative thinking
Ability to manage multiple projects simultaneously to meet objectives and key deadlines
Outstanding communications skills with both technical and non-technical colleagues
Proactive and inquisitive learner... seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances.
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
Feb 01, 2019
Full-time
Overview
We have an exciting opportunity on a team that is defining how we use analytics to transform customer experiences, accelerate business growth and optimize our growth efforts. We are looking for a data-driven individual with excellent analytical skills, experience in product conversion and a passion for delivering data-driven insights to join Intuit’s Analytics Center of Excellence for TurboTax.
Responsibilities
Partners with business leaders (e.g. marketing, product and customer success) to define business strategies, areas of investment, and critical priorities
Leads and nurtures a team of talented analysts with a focus on product conversion, key customer benefit metrics, and end-to-end customer experiences
Build recommendations by synthesizing multiple types of data, developing assumptions in lieu of data and using external sources to help drive business learnings and strategy development
Uses quantitative data gathered with software measurement tools, click streams and drill-downs to develop an understanding of customer behavior and make product experience recommendations
Applies statistics-based market intelligence to business issues and formulates recommendations
Define, implement and standardize metrics, reports and dashboards leveraging Tableau or other data visualization tools
Collaborate both internally and externally to ensure reporting solutions are scalable, repeatable, effective, and meet the expectations of internal customers
Take the lead on TurboTax product initiatives by defining useful hypotheses, designing robust experiments, analyzing results, presenting insights to business stakeholders and putting lessons learned into practice
Answer ad-hoc analytic questions, contribute to decision-making through opportunity sizing, and train users to self-serve standard reports leveraging Tableau
Pursue data quality, troubleshoot data validation, and see issues to resolution
Ensure data collection is optimized to provide crystal-clear visibility into the impact and value of new initiatives and product releases
Qualifications
7-10 years of web analytics or product analytics experience
Deep Subject matter expertise with clickstream data and SQL is a must
Understanding of complex web ecosystems, best practices and ability to put this knowledge into action
Experience with Tableau or another reporting solution a plus
Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations
Excellent problem-solving skills and end to end quantitative thinking
Ability to manage multiple projects simultaneously to meet objectives and key deadlines
Outstanding communications skills with both technical and non-technical colleagues
Proactive and inquisitive learner... seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances.
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
