Coordinates and manages the day-to-day activities related to the New England Baptist Hospital Orthopedic Registry. Ensures completion of patient-reported and clinical-reported health data via a web-based system.
Threshold Requirements:
Experience with RStudio
Capable of writing/debugging R-functions, ggplot, dplyr, R-markdowns, Flexboards, and API calls
Experience as a REDCap administrator for v8.2 or higher
Experience building and managing REDCap projects
Experience with ETL as pertinent to data migration from csv files into REDCap
Experience with Automatic Survey Invitations (ASIs), longitudinal, repeated events, and REDCap surveys
Experience with LDAP and Table based users
Target Requirements:
Experience following established protocols for data transformation and loading
Experience submitting and renewing IRB protocols
Capable of performing REDCap upgrades with minimum supervision
Familiar with REDCap’s API and API Playground
Comfortable with Windows Server 2012 R2
Software Requirements:
Comfortable developing using: HTML, PHP, JavaScript, PhpMyAdmin, and MySQL or similar.
S. in Computer Science or similar
Max Requirements:
S. in Computer Science or similar
Experience developing/maintaining REDCap’s hooks, plug-ins, or External Modules.
3+ years of experience using the mentioned technologies
Experience using Confluence
Capable of training Research Fellows on Registry and REDCap duties.
Capable of distributing Registry and REDCap tasks among Research Fellows
Capable of designing and creating Registry’s Annual Report.
To apply, please click the "Apply Now" button on this page to visit New England Baptist Hospital’s career page.
New England Baptist Hospital is an Equal Opportunity Employer.
Aug 14, 2019
Full-time
Coordinates and manages the day-to-day activities related to the New England Baptist Hospital Orthopedic Registry. Ensures completion of patient-reported and clinical-reported health data via a web-based system.
Threshold Requirements:
Experience with RStudio
Capable of writing/debugging R-functions, ggplot, dplyr, R-markdowns, Flexboards, and API calls
Experience as a REDCap administrator for v8.2 or higher
Experience building and managing REDCap projects
Experience with ETL as pertinent to data migration from csv files into REDCap
Experience with Automatic Survey Invitations (ASIs), longitudinal, repeated events, and REDCap surveys
Experience with LDAP and Table based users
Target Requirements:
Experience following established protocols for data transformation and loading
Experience submitting and renewing IRB protocols
Capable of performing REDCap upgrades with minimum supervision
Familiar with REDCap’s API and API Playground
Comfortable with Windows Server 2012 R2
Software Requirements:
Comfortable developing using: HTML, PHP, JavaScript, PhpMyAdmin, and MySQL or similar.
S. in Computer Science or similar
Max Requirements:
S. in Computer Science or similar
Experience developing/maintaining REDCap’s hooks, plug-ins, or External Modules.
3+ years of experience using the mentioned technologies
Experience using Confluence
Capable of training Research Fellows on Registry and REDCap duties.
Capable of distributing Registry and REDCap tasks among Research Fellows
Capable of designing and creating Registry’s Annual Report.
To apply, please click the "Apply Now" button on this page to visit New England Baptist Hospital’s career page.
New England Baptist Hospital is an Equal Opportunity Employer.
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 Workforce Analyst in People Insights where your natural curiosity for discovering analytical insights and trends will help ensure we are making data-driven decisions within Human Resources. In this role, you will be able to blaze new paths in this data rich environment through the discovery of analytical workforce insights and employee related research. 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 data visualization. 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 analytics to modeling to dashboards that provide decision support for workforce related issues.
Responsibilities :
Provide consultative support and ensure consistent reporting, forecasting, and diagnostic analyses of business issues for the organization
Work collaboratively with other team members to develop comprehensive yield modeling which supports key priorities through rigorous analysis and scenario planning
Measure the effectiveness of HR efforts by using comprehensive set of statistical techniques to conduct complex business analyses.
Connect and transform data from multiple HR systems into actionable analysis, dashboards, and forecasts that support the business needs of the HR organization
Leverage data visualization skills and tools such as Tableau to translate multifaceted HR analytics data into dynamic actionable reporting
Collaborate across boundaries to build and drive both internal and external partnerships to support synergistic opportunities, achievement of shared objectives, and connectivity of information
Drive process improvement initiatives to optimize HR efficiencies
Basic Qualifications :
You have deep knowledge and experience in conducting complex analysis using multiple data sources and a passion for attention to detail
You have strong data visualization skills including the ability to translate multi-dimensional data into clear and concise storytelling that provides actionable insights
You possess the talent for strong influencing and networking skills to help build and foster existing consultative relationships that drive synergy and partnership opportunities
You can focus on the here and now while keeping a keen eye to the future and the organizational capability to prioritize work
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 have strong working knowledge of SAP administration tools, Microsoft suite (Access, Excel, PowerPoint, Sharepoint, Word, and Project), and proven familiarity with data visualization tools (Tableau) and statistical software (SAS, R)
Required Education :
BA/ BS in Mathematics, Statistics , or related field
Aug 09, 2019
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 Workforce Analyst in People Insights where your natural curiosity for discovering analytical insights and trends will help ensure we are making data-driven decisions within Human Resources. In this role, you will be able to blaze new paths in this data rich environment through the discovery of analytical workforce insights and employee related research. 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 data visualization. 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 analytics to modeling to dashboards that provide decision support for workforce related issues.
Responsibilities :
Provide consultative support and ensure consistent reporting, forecasting, and diagnostic analyses of business issues for the organization
Work collaboratively with other team members to develop comprehensive yield modeling which supports key priorities through rigorous analysis and scenario planning
Measure the effectiveness of HR efforts by using comprehensive set of statistical techniques to conduct complex business analyses.
Connect and transform data from multiple HR systems into actionable analysis, dashboards, and forecasts that support the business needs of the HR organization
Leverage data visualization skills and tools such as Tableau to translate multifaceted HR analytics data into dynamic actionable reporting
Collaborate across boundaries to build and drive both internal and external partnerships to support synergistic opportunities, achievement of shared objectives, and connectivity of information
Drive process improvement initiatives to optimize HR efficiencies
Basic Qualifications :
You have deep knowledge and experience in conducting complex analysis using multiple data sources and a passion for attention to detail
You have strong data visualization skills including the ability to translate multi-dimensional data into clear and concise storytelling that provides actionable insights
You possess the talent for strong influencing and networking skills to help build and foster existing consultative relationships that drive synergy and partnership opportunities
You can focus on the here and now while keeping a keen eye to the future and the organizational capability to prioritize work
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 have strong working knowledge of SAP administration tools, Microsoft suite (Access, Excel, PowerPoint, Sharepoint, Word, and Project), and proven familiarity with data visualization tools (Tableau) and statistical software (SAS, R)
Required Education :
BA/ BS in Mathematics, Statistics , or related field
Reporting to the Director, Reporting and Analytics, the Senior Data Analytics Consultant provides fundraising data analysis and reporting services for the executive leadership team of the Development arm of the Office of Advancement.
The Sr. Data Analytics Consultant will be primarily responsible for the development and implementation of measurement and analytics strategies designed to ensure appropriate operational models; to monitor and evaluate applicable metrics to compare and analyze data to support strategic fundraising decisions and process improvement; to ensure communication with senior leadership and synthesize data into useful and insightful information; and to write and automate tools and scripts to increase efficiency and reduce manual efforts.
The Sr. Data Analytics Consultant will design and build data visualizations using diverse data sets and will be instrumental in developing and translating analysis, data modeling and ad hoc decision support to fulfill the needs of the development organization. This includes data analysis and reporting to enhance operational efficiency, encouraging data driven decisions and promoting a higher level of data consumption as well as best practices to improve services and processes of strategic importance to the Development team.
Provides significant data analysis using both descriptive and predictive statistical analysis expertise for the Development leadership team. This work includes, but is not limited to, responsibility for the ongoing design and maintenance of monthly Development performance reports and the fundraising dashboard. It further includes conducting significant data analysis and data mining required to understand the results found and communication of insights to leadership.
This work is accomplished using visual query tools, custom built standard outputs, Microsoft SQL Reporting Services tools, data analysis tools like SPSS or Excel and Tableau.
Position highlights include opportunities to accomplish the following:
Responsibilities:
Data Analysis and Data Mining (40%)
Use statistical methods to analyze fundraising data to identify statistically significant patterns and trends that generate actionable insights
Provide high-confidence-level forecasts that allow the business to make informed decisions
Perform analysis and interpretation of data to demonstrate fundraising outcomes, within specified timeframes and frequencies
Report, Dashboard and Scorecard Creation (40%)
Gather requirements, create queries, build reports and dashboards that integrate multiple sources of data, identify actionable insights and conclusions, and translate complex results into simple visualizations that will empower department leaders to take decisive action
Develop trend analysis reports that monitor key performance indicators and compares them to internal and external benchmarks and uses this data to assist leadership in decision-making, planning and implementing performance improvement strategies Convene colleagues to share information and best practices.
Analyze report results with a focus on explaining changes, inconsistencies and any patters that are identified.
Become an established Subject Matter Expert within the Organization (20%)
Work collaboratively with Development leadership to understand and design analytical approaches to open-ended strategic business problems and communicates the findings to key stakeholders through reports, presentations, storytelling and thoughtful discussion;
Collaborate with the Development leadership team in order to identify trends and opportunities to improve and maximize fundraising revenue
Serve as a technical and educational resource to others on fundraising data and benchmarks, modeling, data acquisition and rapid analysis for insight generation
Performance Objectives
First 1-3 months
Demonstrate basic knowledge and understanding of the higher education advancement industry, with particular emphasis on the major gift fundraising component in particular.
Demonstrate intermediate level understanding of the t-SQL language, SQL Server Reporting Services and Tableau.
Demonstrate basic understanding of the advancement data warehouse.
First 3-6 months
Demonstrate intermediate knowledge and understanding of higher education major gift oriented fundraising.
Assume technical responsibility for the monthly fundraising suite of reports and being transition of existing t-SQL extract – Excel legacy reports to SSRS and / or Tableau.
Assume technical responsibility for the existing SSRS based Fundraising Dashboard and all linked reports.
First 12 months
Demonstrate intermediate knowledge and understanding of the higher education advancement industry.
Assume analysis responsibility for monthly fundraising performance analysis.
Assume business evolution responsibility for monthly reports and the fundraising dashboard.
Why Join Ohio State Advancement Now?
In 2016, The Ohio State University concluded the most successful fundraising effort in its history, with contributions from what is believed to be the most donors ever to a higher education campaign. The But for Ohio State Campaign raised over $3 billion from more than 750,000 donors, shattering the goal of $2.5 billion. Ohio State is now six months away from the public kickoff of the next campaign which coincides with the celebration of the university’s 150th birthday. All members of Advancement are part of creating an inclusive culture that inspires an exceptionally diverse and talented team and are measured on their adherence to the following core competencies: leadership, continuous improvement, teamwork and collaboration, and communication/interpersonal effectiveness.
More about Advancement Reporting and Analytics
Reporting and Analytics (R&A) is one part of the Business Intelligence and Data Science department totaling 15 full-time staff within Advancement. R&A is comprised of 10 staff members with nearly 100 years combined experience working in the Advancement and Enterprise Reporting professions. We are an extremely collaborative group possessing particular technical expertise in t-SQL, SSRS and Tableau. The larger BI team also then possesses extensive experience in Market Research and Data Sciences. Those groups are similarly collaborative in their approach and give the larger BI team experience in market research and advanced statistical techniques. Finally our in group project manager is guiding us in the implementation of the Agile Project Management approach.
Experience Requirements
The selected candidate for this position must have demonstrated success in several areas, including:
Bachelor’s degree in Data Analytics, Statistics, Applied Math, Computer Science, Computer Information Systems or Management Information Systems, Marketing, Psychology or related field; or an equivalent combination of education and experience.
5 years’ experience in a data analyst role.
Experience with enterprise reporting tools (i.e. MS BI Suite).
Two years of experience using SQL with preference to Microsoft T-SQL.
2 years of experience with statistical analysis using statistical packages for analyzing datasets (Excel, SPSS, R, SAS etc.).
2 years of experience visualizing and presenting data.
Desired requirements include:
Master’s degree in Statistics, Business, Computer Science, Economics, Engineering, Mathematics or other quantitative disciplines.
Experience in the non-profit fundraising space.
Familiarity with statistical algorithms such as linear and logistic regression, decision trees, neural networks, etc.
2 years of project management/consulting experience.
Experience working in an Agile SCRUM environment.
2 years’ experience building dashboards.
2 years of experience conducting forecasting models.
You Need To Know
Aside from the unparalleled benefits of working for The Ohio State University and working in the diverse, smart, safe, fun and growing city of Columbus, Ohio, this opportunity will provide exceptional rewards that arise from working for a land grant institution where you will truly feel the impact of your work.
Closing Statement
The Ohio State University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation or gender identity, national origin, disability status, or protected veteran status.
How to Apply
Please click the "Apply Now" button on this page to find out more about University Advancement and apply online.
Questions may be directed to Greg Bright, Recruiter, at bright.159@osu.edu .
Aug 08, 2019
Full-time
Reporting to the Director, Reporting and Analytics, the Senior Data Analytics Consultant provides fundraising data analysis and reporting services for the executive leadership team of the Development arm of the Office of Advancement.
The Sr. Data Analytics Consultant will be primarily responsible for the development and implementation of measurement and analytics strategies designed to ensure appropriate operational models; to monitor and evaluate applicable metrics to compare and analyze data to support strategic fundraising decisions and process improvement; to ensure communication with senior leadership and synthesize data into useful and insightful information; and to write and automate tools and scripts to increase efficiency and reduce manual efforts.
The Sr. Data Analytics Consultant will design and build data visualizations using diverse data sets and will be instrumental in developing and translating analysis, data modeling and ad hoc decision support to fulfill the needs of the development organization. This includes data analysis and reporting to enhance operational efficiency, encouraging data driven decisions and promoting a higher level of data consumption as well as best practices to improve services and processes of strategic importance to the Development team.
Provides significant data analysis using both descriptive and predictive statistical analysis expertise for the Development leadership team. This work includes, but is not limited to, responsibility for the ongoing design and maintenance of monthly Development performance reports and the fundraising dashboard. It further includes conducting significant data analysis and data mining required to understand the results found and communication of insights to leadership.
This work is accomplished using visual query tools, custom built standard outputs, Microsoft SQL Reporting Services tools, data analysis tools like SPSS or Excel and Tableau.
Position highlights include opportunities to accomplish the following:
Responsibilities:
Data Analysis and Data Mining (40%)
Use statistical methods to analyze fundraising data to identify statistically significant patterns and trends that generate actionable insights
Provide high-confidence-level forecasts that allow the business to make informed decisions
Perform analysis and interpretation of data to demonstrate fundraising outcomes, within specified timeframes and frequencies
Report, Dashboard and Scorecard Creation (40%)
Gather requirements, create queries, build reports and dashboards that integrate multiple sources of data, identify actionable insights and conclusions, and translate complex results into simple visualizations that will empower department leaders to take decisive action
Develop trend analysis reports that monitor key performance indicators and compares them to internal and external benchmarks and uses this data to assist leadership in decision-making, planning and implementing performance improvement strategies Convene colleagues to share information and best practices.
Analyze report results with a focus on explaining changes, inconsistencies and any patters that are identified.
Become an established Subject Matter Expert within the Organization (20%)
Work collaboratively with Development leadership to understand and design analytical approaches to open-ended strategic business problems and communicates the findings to key stakeholders through reports, presentations, storytelling and thoughtful discussion;
Collaborate with the Development leadership team in order to identify trends and opportunities to improve and maximize fundraising revenue
Serve as a technical and educational resource to others on fundraising data and benchmarks, modeling, data acquisition and rapid analysis for insight generation
Performance Objectives
First 1-3 months
Demonstrate basic knowledge and understanding of the higher education advancement industry, with particular emphasis on the major gift fundraising component in particular.
Demonstrate intermediate level understanding of the t-SQL language, SQL Server Reporting Services and Tableau.
Demonstrate basic understanding of the advancement data warehouse.
First 3-6 months
Demonstrate intermediate knowledge and understanding of higher education major gift oriented fundraising.
Assume technical responsibility for the monthly fundraising suite of reports and being transition of existing t-SQL extract – Excel legacy reports to SSRS and / or Tableau.
Assume technical responsibility for the existing SSRS based Fundraising Dashboard and all linked reports.
First 12 months
Demonstrate intermediate knowledge and understanding of the higher education advancement industry.
Assume analysis responsibility for monthly fundraising performance analysis.
Assume business evolution responsibility for monthly reports and the fundraising dashboard.
Why Join Ohio State Advancement Now?
In 2016, The Ohio State University concluded the most successful fundraising effort in its history, with contributions from what is believed to be the most donors ever to a higher education campaign. The But for Ohio State Campaign raised over $3 billion from more than 750,000 donors, shattering the goal of $2.5 billion. Ohio State is now six months away from the public kickoff of the next campaign which coincides with the celebration of the university’s 150th birthday. All members of Advancement are part of creating an inclusive culture that inspires an exceptionally diverse and talented team and are measured on their adherence to the following core competencies: leadership, continuous improvement, teamwork and collaboration, and communication/interpersonal effectiveness.
More about Advancement Reporting and Analytics
Reporting and Analytics (R&A) is one part of the Business Intelligence and Data Science department totaling 15 full-time staff within Advancement. R&A is comprised of 10 staff members with nearly 100 years combined experience working in the Advancement and Enterprise Reporting professions. We are an extremely collaborative group possessing particular technical expertise in t-SQL, SSRS and Tableau. The larger BI team also then possesses extensive experience in Market Research and Data Sciences. Those groups are similarly collaborative in their approach and give the larger BI team experience in market research and advanced statistical techniques. Finally our in group project manager is guiding us in the implementation of the Agile Project Management approach.
Experience Requirements
The selected candidate for this position must have demonstrated success in several areas, including:
Bachelor’s degree in Data Analytics, Statistics, Applied Math, Computer Science, Computer Information Systems or Management Information Systems, Marketing, Psychology or related field; or an equivalent combination of education and experience.
5 years’ experience in a data analyst role.
Experience with enterprise reporting tools (i.e. MS BI Suite).
Two years of experience using SQL with preference to Microsoft T-SQL.
2 years of experience with statistical analysis using statistical packages for analyzing datasets (Excel, SPSS, R, SAS etc.).
2 years of experience visualizing and presenting data.
Desired requirements include:
Master’s degree in Statistics, Business, Computer Science, Economics, Engineering, Mathematics or other quantitative disciplines.
Experience in the non-profit fundraising space.
Familiarity with statistical algorithms such as linear and logistic regression, decision trees, neural networks, etc.
2 years of project management/consulting experience.
Experience working in an Agile SCRUM environment.
2 years’ experience building dashboards.
2 years of experience conducting forecasting models.
You Need To Know
Aside from the unparalleled benefits of working for The Ohio State University and working in the diverse, smart, safe, fun and growing city of Columbus, Ohio, this opportunity will provide exceptional rewards that arise from working for a land grant institution where you will truly feel the impact of your work.
Closing Statement
The Ohio State University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation or gender identity, national origin, disability status, or protected veteran status.
How to Apply
Please click the "Apply Now" button on this page to find out more about University Advancement and apply online.
Questions may be directed to Greg Bright, Recruiter, at bright.159@osu.edu .
We Are…
The Revenue Management and Analytics (RM&A) team supports clients across The Walt Disney Company in the core competencies of yield management, inventory management, revenue planning, forecasting, pricing and optimization. Key partners to the RM&A organization include Marketing, Finance, Business Development, Research and Operations. Roles within RM&A develop, analyze, and execute strategies to maximize profitability and improve the value proposition for our Guests, Cast Members and Shareholders.
Responsibilities :
Day in the Life:
Partnering with cross-functional teams to deliver creative solutions to complex optimization problems
Assist in the development new organizational strategies for emerging business
Creating dashboards and reporting to assist in driving business decisions
Design measurement of success metrics for emerging business
Basic Qualifications :
Strategic problem solving & analytical skills, with the ability to act tactically
Ability to conduct insightful and relevant analysis, and extract key learnings
Strong oral and written communication skills
Database knowledge and understanding of SQL
Demonstrated experience with Tableau or other data visualization tools
Strong proficiency in Microsoft Office, specifically Excel and PowerPoint
Ability to listen and ask probing questions
Strong attention to detail and organizational skills
Strong sense of responsibility, independence, ownership and pride in delivering quality results, and understanding the business impacts
Preferred Qualifications:
Experience with VBA, Python or R
Proven track record in development of reports and dashboard production
Previous experience in an analytical field, preferably in Hotels/Resorts
Required Education :
Senior working towards (or recently graduated with) a Bachelor’s degree in an analytical field including Economics, Operations Research, Industrial Engineering, Mathematics or other related quantitative field
GPA of 3.0 or higher
Additional Information :
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
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
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)
Program Dates: Interns must be fully available from January 2020 through June 2020.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Housing: A limited number of housing is available for Florida based participants. Interns are able to sign up for housing once they have accepted an internship offer.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program.
Aug 20, 2019
Internship
We Are…
The Revenue Management and Analytics (RM&A) team supports clients across The Walt Disney Company in the core competencies of yield management, inventory management, revenue planning, forecasting, pricing and optimization. Key partners to the RM&A organization include Marketing, Finance, Business Development, Research and Operations. Roles within RM&A develop, analyze, and execute strategies to maximize profitability and improve the value proposition for our Guests, Cast Members and Shareholders.
Responsibilities :
Day in the Life:
Partnering with cross-functional teams to deliver creative solutions to complex optimization problems
Assist in the development new organizational strategies for emerging business
Creating dashboards and reporting to assist in driving business decisions
Design measurement of success metrics for emerging business
Basic Qualifications :
Strategic problem solving & analytical skills, with the ability to act tactically
Ability to conduct insightful and relevant analysis, and extract key learnings
Strong oral and written communication skills
Database knowledge and understanding of SQL
Demonstrated experience with Tableau or other data visualization tools
Strong proficiency in Microsoft Office, specifically Excel and PowerPoint
Ability to listen and ask probing questions
Strong attention to detail and organizational skills
Strong sense of responsibility, independence, ownership and pride in delivering quality results, and understanding the business impacts
Preferred Qualifications:
Experience with VBA, Python or R
Proven track record in development of reports and dashboard production
Previous experience in an analytical field, preferably in Hotels/Resorts
Required Education :
Senior working towards (or recently graduated with) a Bachelor’s degree in an analytical field including Economics, Operations Research, Industrial Engineering, Mathematics or other related quantitative field
GPA of 3.0 or higher
Additional Information :
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
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
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)
Program Dates: Interns must be fully available from January 2020 through June 2020.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Housing: A limited number of housing is available for Florida based participants. Interns are able to sign up for housing once they have accepted an internship offer.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program.
Data Scientists in the Disney+ Content Analytics team are the insights and modeling partner for the Disney+ studio content team. They focus on informing content decisions for Disney+ through data modeling, analysis, and actionable insight generation. These analysts focus on improving business results through the combination of statistical rigor, data analysis, and fast paced execution with an emphasis on driving actionable business recommendations.
Responsibilities :
Modeling, Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this data scientist will be tasked with creating models that ascribe value to content and can inform content development decisions.
Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically.
Deep-Dive Analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content.
Work with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
Basic Qualifications :
6+ years of analytical experience.
4+ years work experience using SQL
3+ years Python/R or other statistical programming language
Experience with advanced data modeling and predictive analytics
Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills, as well as written and verbal presentation skills.
Advanced degree in an analytical field or equivalent experience
Aug 11, 2019
Full-time
Data Scientists in the Disney+ Content Analytics team are the insights and modeling partner for the Disney+ studio content team. They focus on informing content decisions for Disney+ through data modeling, analysis, and actionable insight generation. These analysts focus on improving business results through the combination of statistical rigor, data analysis, and fast paced execution with an emphasis on driving actionable business recommendations.
Responsibilities :
Modeling, Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this data scientist will be tasked with creating models that ascribe value to content and can inform content development decisions.
Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically.
Deep-Dive Analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content.
Work with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
Basic Qualifications :
6+ years of analytical experience.
4+ years work experience using SQL
3+ years Python/R or other statistical programming language
Experience with advanced data modeling and predictive analytics
Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills, as well as written and verbal presentation skills.
Advanced degree in an analytical field or equivalent experience
Disney Streaming Services (DSS) is looking for a Sr. Data Analyst to help deliver critical analytic insights and visualizations around our audiences. This individual will analyze ESPN+ and Disney+ audiences across the company to help guide marketing strategy, operations and data product development. He/she will be instrumental in the management and analysis of our audience development and use practices. The ideal candidate will be someone with deep knowledge in audience building, segmentation, activation and experienced in digital media channels.
Responsibilities :
Collaborate closely with the engagement team to manage and coordinate audience tactics within marketing plans
Writing audience rules, queries, and merge rules
Perform deep-dives of audience campaigns to inform best practices for different products and strategies
Assist in providing ongoing reporting and analysis to inform and support business and marketing decisions
Understand key drivers and audiences for each business unit and their specific marketing potential
Create documentation around new processes derived from audience testing results
Collaborate with teams to develop comprehensive onsite and paid media campaigns to drive acquisition and retention
Basic Qualifications :
4+ years relevant experience with a proven track record of leveraging audience analytics to drive significant business impact
Demonstrated experience in audience development
Relational, no-SQL and/or columnar data experience
Proficient with SQL and Python/R or other statistical programming language
Experience with Data Management Platforms (BlueKai preferred) and Data Onboarding Providers (Liveramp preferred)
Familiarity with dashboard creation and data visualization tools like Tableau, Looker, etc.
Strong understanding of 1st and 3rd party targeting capabilities
The ability to turn raw data into visual insights to help support decisions
Ability to tell a story with data – What does the analysis tell you? What do you think the business should do next? Why do you think what is happening, is happening? Ability to influence others with the story of what you’re seeing in the data to make business recommendations
Excellent time and project management skills, with the ability to manage detail work and communicate project status effectively to all levels
Ability and desire to lead projects independently from start to finish, working with internal and external teams to make decisions and maintain momentum
Preferred Qualifications:
Working within the Marketing/Advertising vertical
Machine learning experience
Required Education :
Bachelor’s degree in relevant focus (i.e., Computer Science, Data Science, Statistics or Machine Learning)
Aug 04, 2019
Full-time
Disney Streaming Services (DSS) is looking for a Sr. Data Analyst to help deliver critical analytic insights and visualizations around our audiences. This individual will analyze ESPN+ and Disney+ audiences across the company to help guide marketing strategy, operations and data product development. He/she will be instrumental in the management and analysis of our audience development and use practices. The ideal candidate will be someone with deep knowledge in audience building, segmentation, activation and experienced in digital media channels.
Responsibilities :
Collaborate closely with the engagement team to manage and coordinate audience tactics within marketing plans
Writing audience rules, queries, and merge rules
Perform deep-dives of audience campaigns to inform best practices for different products and strategies
Assist in providing ongoing reporting and analysis to inform and support business and marketing decisions
Understand key drivers and audiences for each business unit and their specific marketing potential
Create documentation around new processes derived from audience testing results
Collaborate with teams to develop comprehensive onsite and paid media campaigns to drive acquisition and retention
Basic Qualifications :
4+ years relevant experience with a proven track record of leveraging audience analytics to drive significant business impact
Demonstrated experience in audience development
Relational, no-SQL and/or columnar data experience
Proficient with SQL and Python/R or other statistical programming language
Experience with Data Management Platforms (BlueKai preferred) and Data Onboarding Providers (Liveramp preferred)
Familiarity with dashboard creation and data visualization tools like Tableau, Looker, etc.
Strong understanding of 1st and 3rd party targeting capabilities
The ability to turn raw data into visual insights to help support decisions
Ability to tell a story with data – What does the analysis tell you? What do you think the business should do next? Why do you think what is happening, is happening? Ability to influence others with the story of what you’re seeing in the data to make business recommendations
Excellent time and project management skills, with the ability to manage detail work and communicate project status effectively to all levels
Ability and desire to lead projects independently from start to finish, working with internal and external teams to make decisions and maintain momentum
Preferred Qualifications:
Working within the Marketing/Advertising vertical
Machine learning experience
Required Education :
Bachelor’s degree in relevant focus (i.e., Computer Science, Data Science, Statistics or Machine Learning)
The Walt Disney Studios is comprised of large team of creative professionals who produce and acquire live-action and animated motion pictures, direct-to-video content, musical recordings and live stage plays that tell memorable, life changing stories. Few media and entertainment companies can rival the brands we have the honor of bringing to the world. As part of the Studio’s Technology team you’ll be joining a group of passionate, dedicated technologists solving a range of interesting problems in innovative ways in an exciting and dynamic industry.
Responsibilities :
You will be instrumental in building scalable, extensible, maintainable data ingest, transformation, and reporting tools, infrastructure, and applications. We store, analyze, visualize and report on data for everything from the financial engines that keep the Studio running to consumer applications that touch millions of people.
You will:
Design, build and deliver high-quality data and software tools and solutions
Collaborate with other software engineers and cross-functional teams
Contribute new ideas to a larger community of high-caliber professionals
Balance resources, requirements, and complexity
Basic Qualifications :
The Walt Disney Studios seeks a Data Engineer to join the Studio Technology Data Services team. This team is a highly visible department that plays an integral part in key business decisions across the Studio organization and the company. We’re seeking the following in a candidate:
An educational background that has enabled your trajectory in technology. Surprise us!
2+ years of professional software experience
Expertise in data analysis and database engineering
Experience in agile software development process
Smart, motivated, and curious about both the technology and the business
Able to demonstrate working knowledge of some:
Java/JVM, Python, SQL, R, Scala
Apache Spark & associated tooling
Data science notebooks (Databricks, Jupyter)
Git, Github, Gitlab
AWS, Terraform
Docker, Kubernetes, Helm
Job Schedulers (Azkaban/Airflow)
Test-driven development
Preferred Qualifications:
It would be cool if you knew and could teach people about:
R, Scala
Kafka, KStreams, KSQL
GraphQL
RDS, DynamoDB
Aug 02, 2019
Full-time
The Walt Disney Studios is comprised of large team of creative professionals who produce and acquire live-action and animated motion pictures, direct-to-video content, musical recordings and live stage plays that tell memorable, life changing stories. Few media and entertainment companies can rival the brands we have the honor of bringing to the world. As part of the Studio’s Technology team you’ll be joining a group of passionate, dedicated technologists solving a range of interesting problems in innovative ways in an exciting and dynamic industry.
Responsibilities :
You will be instrumental in building scalable, extensible, maintainable data ingest, transformation, and reporting tools, infrastructure, and applications. We store, analyze, visualize and report on data for everything from the financial engines that keep the Studio running to consumer applications that touch millions of people.
You will:
Design, build and deliver high-quality data and software tools and solutions
Collaborate with other software engineers and cross-functional teams
Contribute new ideas to a larger community of high-caliber professionals
Balance resources, requirements, and complexity
Basic Qualifications :
The Walt Disney Studios seeks a Data Engineer to join the Studio Technology Data Services team. This team is a highly visible department that plays an integral part in key business decisions across the Studio organization and the company. We’re seeking the following in a candidate:
An educational background that has enabled your trajectory in technology. Surprise us!
2+ years of professional software experience
Expertise in data analysis and database engineering
Experience in agile software development process
Smart, motivated, and curious about both the technology and the business
Able to demonstrate working knowledge of some:
Java/JVM, Python, SQL, R, Scala
Apache Spark & associated tooling
Data science notebooks (Databricks, Jupyter)
Git, Github, Gitlab
AWS, Terraform
Docker, Kubernetes, Helm
Job Schedulers (Azkaban/Airflow)
Test-driven development
Preferred Qualifications:
It would be cool if you knew and could teach people about:
R, Scala
Kafka, KStreams, KSQL
GraphQL
RDS, DynamoDB
The Direct-to-Consumer International (DTCI) segment of The Walt Disney Company is seeking a Business Intelligence Analyst with a strong business acumen and the technical skills necessary to uncover and present insights to various business stakeholders at Movies Anywhere (MA). This position will report to the Manager of Analytics for Movies Anywhere. Movies Anywhere is a cloud-based digital movie service. This app for iOS, Android, Web, and 10-foot devices (Apple TV, Roku, etc.) enables consumers to discover, purchase, and watch movies from participating studios (Disney, Fox, Sony, Warner Bros., Universal) using a single service, regardless of the online retailer used to purchase those movies. The Business Intelligence Analyst will use customer attributes, purchase transaction data, and event-level data from the Movies Anywhere apps to build dashboards, perform ad-hoc analyses, and generate insights that various teams at Movies Anywhere (including product, marketing, finance, strategy) can use to make better business decisions. Members of the analytics team at Movies Anywhere are expected to become experts in how consumers interact with the app and what product and marketing experiences will increase engagement, retention, and lead to increased returns to the participating studios. This role will have influence in the future direction of the product.
Responsibilities :
Analyze customer cohorts to design maps of the customer journeys both inside and outside the product
Develop a deep understanding of engagement and retention drivers by cohort and provide insight on which product features are most effective in increasing retention and engagement
Uncover and recommend product improvement opportunities that would lead to increased purchase behavior (both inside and outside the app)
Help define metrics/KPIs for new product features and build automated dashboards that can display those KPIs for internal stakeholders
Help ideate and analyze A/B testing experiments to grow the MA user base and increase the number of core and engaged users
Ask and answer the next question(s) after gathering and analyzing the data to make insights more powerful – not just delivering what was asked for!
Basic Qualifications :
Powerful SQL skills – almost all of the data we work with is accessible in our Amazon Athena SQL environment. We use JOINs, conditional aggregations (SUM(CASE WHEN), etc.) almost every day to combine our users and the performance of product features and marketing campaigns.
Business acumen – ultimately, the analyses we perform need to lead to insights and business decisions. It’s not enough to be able to “pull data” and create reports and dashboards that others have requested; our team needs to combine product and consumer expertise with a sense of the bigger picture (general business landscape in which MA operates) to help influence and drive marketing and product decisions.
Initiative – if you have something you want to learn about or think will make an impact, you will not only have the freedom to explore, but also you will be expected to do so.
Ability to work independently – we understand that it will take some for you to become familiar with the product, our users, and our data, so you can expect to receive ample guidance and direction when you start. Over time, as you become an expert in our business, you will be asked to provide forecasts and recommendations that you will need to build/develop independently.
Communication skills – some of the analyses we do are quite technical, but they need to be communicated to executive teams, both internal to MA and to studio leadership teams
Problem-solving ability – Our stakeholders don’t always know the right question to ask, so we often have to figure out what the real question or desired outcome before conducting an analysis
Data visualization skills (Tableau) – Putting together visualizations that update automatically allows our team to only need to do something once, rather than on a daily/weekly/monthly basis. This role needs to be able to turn the results of a complicated SQL query into something that a non-technical person can easily understand.
Preferred Qualifications:
Experience analyzing a digital product and its users – it’s what we do every day, so any examples you have that demonstrate the value you can bring to a digital product will make you a stronger candidate.
Data manipulation skills using Python/R – sometimes we need to do analyses that SQL/Excel can’t handle, so a nice-to-have is being able to work with data using Python (Pandas) or R.
Jul 29, 2019
Full-time
The Direct-to-Consumer International (DTCI) segment of The Walt Disney Company is seeking a Business Intelligence Analyst with a strong business acumen and the technical skills necessary to uncover and present insights to various business stakeholders at Movies Anywhere (MA). This position will report to the Manager of Analytics for Movies Anywhere. Movies Anywhere is a cloud-based digital movie service. This app for iOS, Android, Web, and 10-foot devices (Apple TV, Roku, etc.) enables consumers to discover, purchase, and watch movies from participating studios (Disney, Fox, Sony, Warner Bros., Universal) using a single service, regardless of the online retailer used to purchase those movies. The Business Intelligence Analyst will use customer attributes, purchase transaction data, and event-level data from the Movies Anywhere apps to build dashboards, perform ad-hoc analyses, and generate insights that various teams at Movies Anywhere (including product, marketing, finance, strategy) can use to make better business decisions. Members of the analytics team at Movies Anywhere are expected to become experts in how consumers interact with the app and what product and marketing experiences will increase engagement, retention, and lead to increased returns to the participating studios. This role will have influence in the future direction of the product.
Responsibilities :
Analyze customer cohorts to design maps of the customer journeys both inside and outside the product
Develop a deep understanding of engagement and retention drivers by cohort and provide insight on which product features are most effective in increasing retention and engagement
Uncover and recommend product improvement opportunities that would lead to increased purchase behavior (both inside and outside the app)
Help define metrics/KPIs for new product features and build automated dashboards that can display those KPIs for internal stakeholders
Help ideate and analyze A/B testing experiments to grow the MA user base and increase the number of core and engaged users
Ask and answer the next question(s) after gathering and analyzing the data to make insights more powerful – not just delivering what was asked for!
Basic Qualifications :
Powerful SQL skills – almost all of the data we work with is accessible in our Amazon Athena SQL environment. We use JOINs, conditional aggregations (SUM(CASE WHEN), etc.) almost every day to combine our users and the performance of product features and marketing campaigns.
Business acumen – ultimately, the analyses we perform need to lead to insights and business decisions. It’s not enough to be able to “pull data” and create reports and dashboards that others have requested; our team needs to combine product and consumer expertise with a sense of the bigger picture (general business landscape in which MA operates) to help influence and drive marketing and product decisions.
Initiative – if you have something you want to learn about or think will make an impact, you will not only have the freedom to explore, but also you will be expected to do so.
Ability to work independently – we understand that it will take some for you to become familiar with the product, our users, and our data, so you can expect to receive ample guidance and direction when you start. Over time, as you become an expert in our business, you will be asked to provide forecasts and recommendations that you will need to build/develop independently.
Communication skills – some of the analyses we do are quite technical, but they need to be communicated to executive teams, both internal to MA and to studio leadership teams
Problem-solving ability – Our stakeholders don’t always know the right question to ask, so we often have to figure out what the real question or desired outcome before conducting an analysis
Data visualization skills (Tableau) – Putting together visualizations that update automatically allows our team to only need to do something once, rather than on a daily/weekly/monthly basis. This role needs to be able to turn the results of a complicated SQL query into something that a non-technical person can easily understand.
Preferred Qualifications:
Experience analyzing a digital product and its users – it’s what we do every day, so any examples you have that demonstrate the value you can bring to a digital product will make you a stronger candidate.
Data manipulation skills using Python/R – sometimes we need to do analyses that SQL/Excel can’t handle, so a nice-to-have is being able to work with data using Python (Pandas) or R.
The Direct-to-Consumer and International (DTCI) Data Platform group is a team focused on utilizing cutting edge technology to bring the power of data to DTCI and provide solid guidance in the decision-making process across the organization. We focus on using data that is collected from DTCI video streaming platforms to improve experiences for our guests through personalization and analytics-based decision-making. The Associate Data Scientist will be primarily focused on delivering value by developing algorithms that drive integral underlying functionality of our various video streaming services. In addition, throughout the algorithm development process, the role involves performing thorough data analyses and presenting these findings to stakeholders across the organization. Collaboration is key to success at Disney. The Associate Data Scientist is expected to work closely with various teams throughout any given project, so strong communication skills are a must.
Responsibilities :
The Associate Data Scientist will be primarily focused on delivering value by developing algorithms that drive integral underlying functionality of our various video streaming services. In addition, throughout the algorithm development process, the role involves performing thorough data analyses and presenting these findings to stakeholders across the organization. Collaboration is key to success at Disney. The Associate Data Scientist is expected to work closely with various teams throughout any given project, so strong communication skills are a must.
Basic Qualifications :
Master’s degree in a quantitative discipline (statistics, mathematics, data science, economics, etc.)
Bachelor’s degree in a quantitative discipline (statistics, mathematics, data science, economics, etc.) with at least 3 years of professional work experience as a data scientist will be considered
Deep knowledge of statistical principles and the underlying data assumptions on which they rely
Hands-on experience building at least 2 of the following statistical models/techniques: recommendation systems, reinforcement learning, neural networks, deep learning, optimization and simulation, churn models, logistic/linear regression, forecasting, experimental design, clustering and segmentation
Ability to program in Python, R, or other statistical programming language(s)
Familiarity with databases and data retrieval, including SQL
A passion for data, entertainment, and technology
Preferred Qualifications:
Previous experience in entertainment
Knowledge of the video streaming industry
Experience working with real-time streaming data
Previous experience or internships in a data science role
Hands-on experience with AWS or other similar cloud services
Demonstrated delivery of machine learning techniques in real-time applications
The ability to effectively communicate technical ideas to both technical and non-technical audiences
Jul 29, 2019
Full-time
The Direct-to-Consumer and International (DTCI) Data Platform group is a team focused on utilizing cutting edge technology to bring the power of data to DTCI and provide solid guidance in the decision-making process across the organization. We focus on using data that is collected from DTCI video streaming platforms to improve experiences for our guests through personalization and analytics-based decision-making. The Associate Data Scientist will be primarily focused on delivering value by developing algorithms that drive integral underlying functionality of our various video streaming services. In addition, throughout the algorithm development process, the role involves performing thorough data analyses and presenting these findings to stakeholders across the organization. Collaboration is key to success at Disney. The Associate Data Scientist is expected to work closely with various teams throughout any given project, so strong communication skills are a must.
Responsibilities :
The Associate Data Scientist will be primarily focused on delivering value by developing algorithms that drive integral underlying functionality of our various video streaming services. In addition, throughout the algorithm development process, the role involves performing thorough data analyses and presenting these findings to stakeholders across the organization. Collaboration is key to success at Disney. The Associate Data Scientist is expected to work closely with various teams throughout any given project, so strong communication skills are a must.
Basic Qualifications :
Master’s degree in a quantitative discipline (statistics, mathematics, data science, economics, etc.)
Bachelor’s degree in a quantitative discipline (statistics, mathematics, data science, economics, etc.) with at least 3 years of professional work experience as a data scientist will be considered
Deep knowledge of statistical principles and the underlying data assumptions on which they rely
Hands-on experience building at least 2 of the following statistical models/techniques: recommendation systems, reinforcement learning, neural networks, deep learning, optimization and simulation, churn models, logistic/linear regression, forecasting, experimental design, clustering and segmentation
Ability to program in Python, R, or other statistical programming language(s)
Familiarity with databases and data retrieval, including SQL
A passion for data, entertainment, and technology
Preferred Qualifications:
Previous experience in entertainment
Knowledge of the video streaming industry
Experience working with real-time streaming data
Previous experience or internships in a data science role
Hands-on experience with AWS or other similar cloud services
Demonstrated delivery of machine learning techniques in real-time applications
The ability to effectively communicate technical ideas to both technical and non-technical audiences
The Data Scientist is a critical position within DSS and in the Data organization who specializes in applying machine learning methods to meet optimization, personalization, recommendations and efficiency related challenges, in close collaboration with engineering and business partners. In this role, you will build and apply machine learning techniques and modern statistics to data both augment decision-making but to also significantly improve operational process problems through automation. You will collaborate across teams to define problems and develop automated solutions with the Data, Product and Engineering teams to be built into our products.
Responsibilities :
Reframe objectives as machine learning tasks that can deliver actionable insights, accurate predictions, and effective optimization.
Implement and execute machine learning with reliability and reproducibility.
Explain how models and systems work to both non-technical and technical stakeholders.
Collaborate with engineering teams to build data-based products and help integrate into the products and operational processes.
Process, cleanse, and verify the integrity of data used for analysis.
Enhance data collection procedures to include information that is relevant for creating better ML models.
Create automated anomaly detection systems and constant tracking of its performance .
Basic Qualifications :
Demonstrated ability to present data science results and recommendations to business and technical clients.
3+ years of experience as a Data Scientist in technology sector.
Demonstrated delivery of machine learning techniques in real-time applications.
Expertise in modern statistics/data science/machine learning.
Expertise in a statistical programming language (we use Python and R internally) and data access tools (e.g. SQL).
Experience with deep learning, NLP, Neural Networks, and/or Bayesian modeling.
Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick effective solutions as appropriate
Required Education :
Graduate degree with background in statistics or machine learning.
Jul 29, 2019
Full-time
The Data Scientist is a critical position within DSS and in the Data organization who specializes in applying machine learning methods to meet optimization, personalization, recommendations and efficiency related challenges, in close collaboration with engineering and business partners. In this role, you will build and apply machine learning techniques and modern statistics to data both augment decision-making but to also significantly improve operational process problems through automation. You will collaborate across teams to define problems and develop automated solutions with the Data, Product and Engineering teams to be built into our products.
Responsibilities :
Reframe objectives as machine learning tasks that can deliver actionable insights, accurate predictions, and effective optimization.
Implement and execute machine learning with reliability and reproducibility.
Explain how models and systems work to both non-technical and technical stakeholders.
Collaborate with engineering teams to build data-based products and help integrate into the products and operational processes.
Process, cleanse, and verify the integrity of data used for analysis.
Enhance data collection procedures to include information that is relevant for creating better ML models.
Create automated anomaly detection systems and constant tracking of its performance .
Basic Qualifications :
Demonstrated ability to present data science results and recommendations to business and technical clients.
3+ years of experience as a Data Scientist in technology sector.
Demonstrated delivery of machine learning techniques in real-time applications.
Expertise in modern statistics/data science/machine learning.
Expertise in a statistical programming language (we use Python and R internally) and data access tools (e.g. SQL).
Experience with deep learning, NLP, Neural Networks, and/or Bayesian modeling.
Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick effective solutions as appropriate
Required Education :
Graduate degree with background in statistics or machine learning.
Disney Streaming Services (DSS) is seeking a Data Scientist to oversee the design, build and testing of formulas for complex metrics/KPIs such as Lifetime Value, Retention and Engagement. The role will research, design, implement and validate algorithms to analyze diverse sources of data to achieve targeted outcomes. You will provide expertise on mathematical concepts and machine learning for the broader analytics team and inspire the adoption of advanced analytics and data science.
Responsibilities :
Modeling, Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this data scientist will be tasked with creating models that ascribe value to content and can inform content development decisions.
Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically.
Deep-Dive Analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content.
Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
Basic Qualifications :
3+ years of analytical experience including knowledge of SQL and Python/R or other statistical programming language
Experience with advanced data modeling and predictive analytics
Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills, as well as written and verbal presentation skills.
Advanced degree in an analytical field or equivalent experience
Jul 29, 2019
Full-time
Disney Streaming Services (DSS) is seeking a Data Scientist to oversee the design, build and testing of formulas for complex metrics/KPIs such as Lifetime Value, Retention and Engagement. The role will research, design, implement and validate algorithms to analyze diverse sources of data to achieve targeted outcomes. You will provide expertise on mathematical concepts and machine learning for the broader analytics team and inspire the adoption of advanced analytics and data science.
Responsibilities :
Modeling, Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this data scientist will be tasked with creating models that ascribe value to content and can inform content development decisions.
Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically.
Deep-Dive Analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content.
Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
Basic Qualifications :
3+ years of analytical experience including knowledge of SQL and Python/R or other statistical programming language
Experience with advanced data modeling and predictive analytics
Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills, as well as written and verbal presentation skills.
Advanced degree in an analytical field or equivalent experience
Data Scientists in the Disney+ Content Analytics team are the insights and modeling partner for the Disney+ studio content team. They focus on informing content decisions for Disney+ through data modeling, analysis, and actionable insight generation. These analysts focus on improving business results through the combination of statistical rigor, data analysis, and fast paced execution with an emphasis on driving actionable business recommendations. Responsibilities :
Modeling, Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this data scientist will be tasked with creating models that ascribe value to content and can inform content development decisions.
Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically.
Deep-Dive Analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content.
Work with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
Basic Qualifications :
6+ years of analytical experience.
4+ years work experience using SQL
3+ years Python/R or other statistical programming language
Experience with advanced data modeling and predictive analytics
Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills, as well as written and verbal presentation skills.
Advanced degree in an analytical field or equivalent experience
Jul 29, 2019
Full-time
Data Scientists in the Disney+ Content Analytics team are the insights and modeling partner for the Disney+ studio content team. They focus on informing content decisions for Disney+ through data modeling, analysis, and actionable insight generation. These analysts focus on improving business results through the combination of statistical rigor, data analysis, and fast paced execution with an emphasis on driving actionable business recommendations. Responsibilities :
Modeling, Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this data scientist will be tasked with creating models that ascribe value to content and can inform content development decisions.
Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically.
Deep-Dive Analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content.
Work with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
Basic Qualifications :
6+ years of analytical experience.
4+ years work experience using SQL
3+ years Python/R or other statistical programming language
Experience with advanced data modeling and predictive analytics
Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills, as well as written and verbal presentation skills.
Advanced degree in an analytical field or equivalent experience
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Disney Parks, Experiences & Products (DPEP). CIMA influences data-driven and consumer-centric decision making with integrated, objective, and actionable insights. Within CIMA, the Strategic Analytics team is seeking a Strategic Analytics Manager to support Consumer Products (CP), the division of DPEP that brings stories and characters to life through innovative and engaging physical products and digital experiences across more than 100 categories, from toys and t-shirts, to apps, books and console games. The Strategic Analytics Manager will support internal stakeholders by providing actionable insights for key business initiatives across the Consumer Products landscape, including shopDisney.com, The Disney Store, Licensing, Product, Retail, and Publishing. The position reports to the Senior Manager, Strategic Analytics and will be based in Glendale, CA.
Responsibilities :
Interact with internal stakeholders to identify critical questions that need to be answered in order to establish effective KPIs and develop measurement plans that lead to actionable insights
Leverage a variety of different internal and external data sources (including digital, marketing, customer, and product data) to conduct analysis and draw insights that support strategic decision making
Design effective and impactful reports and visualizations that show business performance
Create presentations to highlight recommendations and tell the story
Conduct data analysis to uncover patterns and identify trends and opportunities related to retail behavior (ecommerce and bricks & mortar)
Develop methods to measure and report on content, audience, and message effectiveness
Support optimization of content, audiences, campaigns, user acquisition, and retention through testing and prescriptive analytics
Support personalization efforts including audience selection and segmentation, then measure effectiveness of these efforts
Assist in the development of analytic tools, KPIs, dashboards, and systems to help build out the BI platform
Automate reporting workstreams and ensure accuracy of all data by creating automated quality checks on both the data and final deliverable
Partner with internal stakeholders to identify new opportunities to leverage data within marketing and product to enable decision making
Learn new data sets to develop an expertise in those data sets
Basic Qualifications :
Bachelor’s Degree with preferred concentration in Business, Marketing, Economics, Statistics, Finance, Industrial Engineering, Operations Research, Data Mining, or similar field
5+ years of analytics/marketing analytics experience
Expertise manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
Excellent understanding of media fundamentals and industry knowledge, including media metrics and quantitative business measures
Strong understanding of measurement and attribution
Proficiency with data access tools (e.g. SQL) and data exploration and data visualization tools (e.g. Tableau, Looker, Microstrategy)
Ability to translate business asks into analytics projects and deliverables
Ability to think strategically, analyze, and interpret market and consumer information
Ability to simplify highly complex analyses and output into terms that are easily accessible and impactful in both written and verbal formats
Ability to work well in a fast-paced business environment and display professionalism and confidence in challenging situations
Strong communication skills
Strong attention to detail
Passion for analytics and data, intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition
Preferred Qualifications:
7+ years of analytics/marketing analytics experience
Experience in consumer products, retail, publishing, or digital products strongly preferred
Experience with retailer loyalty programs a plus
Proficiency in Python, Hive, SAS, and/or R programming languages
Prior experience with marketing/advertising technologies (e.g., Data Management Platforms, Multi-touch Attribution, Demand Side Platforms, Programmatic Buying, etc.)
Familiarity with digital ad effectiveness research
Prior knowledge of internal Disney data and databases
Required Education :
Bachelor’s degree with preferred concentration in Business, Marketing, Economics, Statistics, Finance, Industrial Engineering, Operations Research, Data Mining, or similar field
Preferred Education :
MBA or Master's Degree in an analytic field
Jul 29, 2019
Full-time
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Disney Parks, Experiences & Products (DPEP). CIMA influences data-driven and consumer-centric decision making with integrated, objective, and actionable insights. Within CIMA, the Strategic Analytics team is seeking a Strategic Analytics Manager to support Consumer Products (CP), the division of DPEP that brings stories and characters to life through innovative and engaging physical products and digital experiences across more than 100 categories, from toys and t-shirts, to apps, books and console games. The Strategic Analytics Manager will support internal stakeholders by providing actionable insights for key business initiatives across the Consumer Products landscape, including shopDisney.com, The Disney Store, Licensing, Product, Retail, and Publishing. The position reports to the Senior Manager, Strategic Analytics and will be based in Glendale, CA.
Responsibilities :
Interact with internal stakeholders to identify critical questions that need to be answered in order to establish effective KPIs and develop measurement plans that lead to actionable insights
Leverage a variety of different internal and external data sources (including digital, marketing, customer, and product data) to conduct analysis and draw insights that support strategic decision making
Design effective and impactful reports and visualizations that show business performance
Create presentations to highlight recommendations and tell the story
Conduct data analysis to uncover patterns and identify trends and opportunities related to retail behavior (ecommerce and bricks & mortar)
Develop methods to measure and report on content, audience, and message effectiveness
Support optimization of content, audiences, campaigns, user acquisition, and retention through testing and prescriptive analytics
Support personalization efforts including audience selection and segmentation, then measure effectiveness of these efforts
Assist in the development of analytic tools, KPIs, dashboards, and systems to help build out the BI platform
Automate reporting workstreams and ensure accuracy of all data by creating automated quality checks on both the data and final deliverable
Partner with internal stakeholders to identify new opportunities to leverage data within marketing and product to enable decision making
Learn new data sets to develop an expertise in those data sets
Basic Qualifications :
Bachelor’s Degree with preferred concentration in Business, Marketing, Economics, Statistics, Finance, Industrial Engineering, Operations Research, Data Mining, or similar field
5+ years of analytics/marketing analytics experience
Expertise manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
Excellent understanding of media fundamentals and industry knowledge, including media metrics and quantitative business measures
Strong understanding of measurement and attribution
Proficiency with data access tools (e.g. SQL) and data exploration and data visualization tools (e.g. Tableau, Looker, Microstrategy)
Ability to translate business asks into analytics projects and deliverables
Ability to think strategically, analyze, and interpret market and consumer information
Ability to simplify highly complex analyses and output into terms that are easily accessible and impactful in both written and verbal formats
Ability to work well in a fast-paced business environment and display professionalism and confidence in challenging situations
Strong communication skills
Strong attention to detail
Passion for analytics and data, intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition
Preferred Qualifications:
7+ years of analytics/marketing analytics experience
Experience in consumer products, retail, publishing, or digital products strongly preferred
Experience with retailer loyalty programs a plus
Proficiency in Python, Hive, SAS, and/or R programming languages
Prior experience with marketing/advertising technologies (e.g., Data Management Platforms, Multi-touch Attribution, Demand Side Platforms, Programmatic Buying, etc.)
Familiarity with digital ad effectiveness research
Prior knowledge of internal Disney data and databases
Required Education :
Bachelor’s degree with preferred concentration in Business, Marketing, Economics, Statistics, Finance, Industrial Engineering, Operations Research, Data Mining, or similar field
Preferred Education :
MBA or Master's Degree in an analytic field
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Disney Parks, Experiences & Products (DPEP). CIMA influences decision making with integrated, objective, and actionable insights.
Within CIMA, the Strategic Analytics team is seeking a Senior Analyst, Business Intelligence to support Consumer Products (CP), the division of DPEP that brings stories and characters to life through innovative and engaging physical products and digital experiences across more than 100 categories, from toys and t-shirts, to apps, books and console games.
In this role, the Senior Analyst, Business Intelligence must possess a strong knowledge of data structure and a passion for marketing data and analytics. This individual will leverage their BI platforming and systems knowledge to enable more data-centric analysis that provides business impact to the Consumer Products segment. This role will be responsible for managing, maintaining, and transforming large quantities of media, sales, product, and event data in order to enable the organization to maximize its marketing return on investment and effectiveness of consumer programs.
The position reports to the Senior Manager, Strategic Analytics and will be based in Glendale, CA.
Responsibilities :
The Senior Analyst, Business Intelligence’s key responsibilities include, but are not limited to, the following:
Identify new and robust sources of media data and plan technical solutions for onboarding
Data acquisition – work with Technology partners to onboard new sources
Data transformation – manage ETL process, QC data to be compatible with internal reporting platform and ensure data accuracy
Use programming languages and relational databases for data acquisition, ETL, data cleansing & QA, and analysis
Automate data acquisition and storage, provide ongoing database support
Recommend data management solutions
Document all data processes
Set-up and conduct on-going data QA to ensure data used for reporting and analysis is accurate
Create database views and BI interfaces that enhance UX for anyone analyzing data
Dashboard development and data visualization
Provide data support for regularly scheduled meetings, presentations, and ad hoc requests
Find marketing opportunities and mitigate risks by mining data and conducting data analyses
Report any key issues or learnings to senior leadership
Become marketing data SME to develop an expertise and evangelize those data sets
Basic Qualifications :
4+ years of experience in business intelligence and/or data engineering roles
Bachelor’s degree in engineering, computer science, information systems, data science, applied mathematics, statistics, or other related fields.
Expertise in relational databases, data processing, and big data environments (Teradata, Hadoop, Oracle, AWS, BigQuery)
Expertise in programming languages (SQL, R, Python, Hive, SPSS, Excel)
Comfortable learning and using new programming or markup languages and tools
Proficient with business intelligence and data visualization tools (Tableau, Power BI, Looker, Microstrategy)
Experience working with marketing, paid media, CRM, digital, and social media data (Google Ads, YouTube, Facebook, Adobe Analytics/Omniture)
Proven analytical capabilities and data mining skills
Strong attentiveness to detail
Proven team player and strong partnering skills
Demonstrated proactive problem-solving and decision making skills
Demonstrated ability to deliver work on time
Demonstrated verbal and written communication skills
Ability to excel in a fast-paced, complex, and ambiguous business environment
Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition
Preferred Qualifications:
7+ years data & analytics experience
Experience in consumer products, retail, publishing, or digital products strongly preferred
Prior knowledge of internal Disney data and databases
Prior experience with DMP and adtech/martech platforms
Project management experience
Required Education :
Bachelor’s degree in engineering, computer science, data science, applied mathematics, statistics, or other related analytics fields
Preferred Education :
Advanced degree in an analytics field or MBA
Jul 29, 2019
Full-time
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Disney Parks, Experiences & Products (DPEP). CIMA influences decision making with integrated, objective, and actionable insights.
Within CIMA, the Strategic Analytics team is seeking a Senior Analyst, Business Intelligence to support Consumer Products (CP), the division of DPEP that brings stories and characters to life through innovative and engaging physical products and digital experiences across more than 100 categories, from toys and t-shirts, to apps, books and console games.
In this role, the Senior Analyst, Business Intelligence must possess a strong knowledge of data structure and a passion for marketing data and analytics. This individual will leverage their BI platforming and systems knowledge to enable more data-centric analysis that provides business impact to the Consumer Products segment. This role will be responsible for managing, maintaining, and transforming large quantities of media, sales, product, and event data in order to enable the organization to maximize its marketing return on investment and effectiveness of consumer programs.
The position reports to the Senior Manager, Strategic Analytics and will be based in Glendale, CA.
Responsibilities :
The Senior Analyst, Business Intelligence’s key responsibilities include, but are not limited to, the following:
Identify new and robust sources of media data and plan technical solutions for onboarding
Data acquisition – work with Technology partners to onboard new sources
Data transformation – manage ETL process, QC data to be compatible with internal reporting platform and ensure data accuracy
Use programming languages and relational databases for data acquisition, ETL, data cleansing & QA, and analysis
Automate data acquisition and storage, provide ongoing database support
Recommend data management solutions
Document all data processes
Set-up and conduct on-going data QA to ensure data used for reporting and analysis is accurate
Create database views and BI interfaces that enhance UX for anyone analyzing data
Dashboard development and data visualization
Provide data support for regularly scheduled meetings, presentations, and ad hoc requests
Find marketing opportunities and mitigate risks by mining data and conducting data analyses
Report any key issues or learnings to senior leadership
Become marketing data SME to develop an expertise and evangelize those data sets
Basic Qualifications :
4+ years of experience in business intelligence and/or data engineering roles
Bachelor’s degree in engineering, computer science, information systems, data science, applied mathematics, statistics, or other related fields.
Expertise in relational databases, data processing, and big data environments (Teradata, Hadoop, Oracle, AWS, BigQuery)
Expertise in programming languages (SQL, R, Python, Hive, SPSS, Excel)
Comfortable learning and using new programming or markup languages and tools
Proficient with business intelligence and data visualization tools (Tableau, Power BI, Looker, Microstrategy)
Experience working with marketing, paid media, CRM, digital, and social media data (Google Ads, YouTube, Facebook, Adobe Analytics/Omniture)
Proven analytical capabilities and data mining skills
Strong attentiveness to detail
Proven team player and strong partnering skills
Demonstrated proactive problem-solving and decision making skills
Demonstrated ability to deliver work on time
Demonstrated verbal and written communication skills
Ability to excel in a fast-paced, complex, and ambiguous business environment
Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition
Preferred Qualifications:
7+ years data & analytics experience
Experience in consumer products, retail, publishing, or digital products strongly preferred
Prior knowledge of internal Disney data and databases
Prior experience with DMP and adtech/martech platforms
Project management experience
Required Education :
Bachelor’s degree in engineering, computer science, data science, applied mathematics, statistics, or other related analytics fields
Preferred Education :
Advanced degree in an analytics field or MBA
We are seeking a Data Analyst who will partner with business and operating teams who will focus on reporting to monitor key performance indicators and metrics. Collaborating across disciplines, you will design and implement reporting that enables internal clients to access, explore and monitor their data.
Responsibilities :
Partner with colleagues facilitating the design, build and automation of reports / dashboards that provide insight into customer conversion and behavior.
Partner with cross-functional colleagues to identify and report on short-term and long-term performance.
Implementing self-service tools used to access disparate data sources (both legacy and cloud-based).
Train and support colleagues in the use of self-service data exploration and visualization tools.
Analyze variability from trends; exploring data and communicating findings to influence acquisition and retention strategies.
Perform ad hoc analysis as necessary.
Instigate process change to evolve our subscriber reporting with the growing needs of the subscription business.
Basic Qualifications :
2+ years of relevant experience.
1+ years work experience implementing and reporting on business key performance indicators.
1+ years work experience using SQL is required.
Strong analytic SQL skills and experience working with traditional relational databases and/or NoSQL databases such as Hadoop / Hive, BigQuery, Redshift.
Additional programming languages (e.g. Python, R) preferred.
Familiarity with data exploration / data visualization tools like Tableau, Chartio, etc.
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills – written and verbal presentations.
Excellent conceptual and analytical reasoning competencies.
Degree in an analytical field such as economics, mathematics, or computer science is desired.
Comfortable working in a fast-paced and highly collaborative environment.
Jul 29, 2019
Full-time
We are seeking a Data Analyst who will partner with business and operating teams who will focus on reporting to monitor key performance indicators and metrics. Collaborating across disciplines, you will design and implement reporting that enables internal clients to access, explore and monitor their data.
Responsibilities :
Partner with colleagues facilitating the design, build and automation of reports / dashboards that provide insight into customer conversion and behavior.
Partner with cross-functional colleagues to identify and report on short-term and long-term performance.
Implementing self-service tools used to access disparate data sources (both legacy and cloud-based).
Train and support colleagues in the use of self-service data exploration and visualization tools.
Analyze variability from trends; exploring data and communicating findings to influence acquisition and retention strategies.
Perform ad hoc analysis as necessary.
Instigate process change to evolve our subscriber reporting with the growing needs of the subscription business.
Basic Qualifications :
2+ years of relevant experience.
1+ years work experience implementing and reporting on business key performance indicators.
1+ years work experience using SQL is required.
Strong analytic SQL skills and experience working with traditional relational databases and/or NoSQL databases such as Hadoop / Hive, BigQuery, Redshift.
Additional programming languages (e.g. Python, R) preferred.
Familiarity with data exploration / data visualization tools like Tableau, Chartio, etc.
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills – written and verbal presentations.
Excellent conceptual and analytical reasoning competencies.
Degree in an analytical field such as economics, mathematics, or computer science is desired.
Comfortable working in a fast-paced and highly collaborative environment.
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 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.
Responsibilities :
Architecting highly-scalable, distributed enterprise data solutions with focus on big data platforms and enterprise data warehouses for reporting & analytics, and particular focus on HANA-based data platforms
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; continuously learning new data technologies and introducing these into the organization
Cross-training peers and mentoring junior teammates
Basic Qualifications :
Technical Skills
10 years plus experience architecting enterprise data solutions
10 years of hands-on data platform design and development in large-scale and complex environments
In-depth expertise and experience with SAP HANA
Experience with HANA data modeling and integrating HANA with source data systems and BI tools
Expertise architecting and delivering highly-scalable, distributed, cloud-based enterprise data solutions
Fluent understanding of data security and compliance requirements and experience designing data solutions that are secure and compliant
Fluent in 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 do
Seeks differing points of view
Required Education :
Bachelor’s degree in Computer Science or related field
Preferred Education :
Master’s degree in Computer Science or related field
Jul 29, 2019
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 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.
Responsibilities :
Architecting highly-scalable, distributed enterprise data solutions with focus on big data platforms and enterprise data warehouses for reporting & analytics, and particular focus on HANA-based data platforms
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; continuously learning new data technologies and introducing these into the organization
Cross-training peers and mentoring junior teammates
Basic Qualifications :
Technical Skills
10 years plus experience architecting enterprise data solutions
10 years of hands-on data platform design and development in large-scale and complex environments
In-depth expertise and experience with SAP HANA
Experience with HANA data modeling and integrating HANA with source data systems and BI tools
Expertise architecting and delivering highly-scalable, distributed, cloud-based enterprise data solutions
Fluent understanding of data security and compliance requirements and experience designing data solutions that are secure and compliant
Fluent in 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 do
Seeks differing points of view
Required Education :
Bachelor’s degree in Computer Science or related field
Preferred Education :
Master’s degree in Computer Science or related field
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Disney Parks, Experiences & Products (DPEP). CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Strategic Analytics team is seeking a Data Scientist to support Consumer Products (CP), the division of DPEP that brings stories and characters to life through innovative and engaging physical products and digital experiences across more than 100 categories, from toys and t-shirts, to apps, books and console games. In this role the Data Scientist will leverage multiple statistical and machine learning methodologies to influence decisions and action planning, with focus on media mix modeling, LTV, and model development for segmentation and targeting customers. The position reports to the Senior Manager, Strategic Analytics and will be based in Glendale, CA.
Responsibilities :
Reframe business objectives and questions as statistical and analytics tasks that can deliver actionable insights, create accurate predictions, and drive effective optimization
Process, cleanse, validate and integrate data from different sources for reporting, analyses, model building and data visualization
Build predictive models and algorithms to effectively measure and optimize business performance, including media mix and LTV models, and models for customer segmentation and targeting, including churn and propensity models
Collaborate with data engineers to build data pipelines that drive downstream workflow
Analyze large and complex consumer behavior data to identify patterns and uncover opportunities related to how guests are interacting with shopDisney.com, Disney Stores, and retail subscription businesses
Develop and deliver action-oriented, insightful analytic presentations that provide consultative direction to key stakeholders
Monitor trends in data science and alternative sources to ensure the use of best in class tools and techniques
Basic Qualifications :
Bachelor’s degree in data science, applied mathematics, statistics, business analytics, economics, computer science, engineering
4+ years of professional data science/analytical experience
4+ years of professional experience using data-building and statistical programming languages: SAS, Python, R, SQL, etc.
Practical experience and expertise in applied statistics and data science methodologies (general advanced data modeling and predictive analytics e.g., multi-variate regression analysis, machine learning, forecasting, Bayesian estimation)
Experience with data exploration utilizing data visualization tools (e.g. Tableau, PowerBI, Pandas, ggplot2, Plotly)
Ability to think strategically, including interpreting market and consumer information
Strong communication skills
Ability to simplify highly complex analyses into terms that are easily accessible and impactful for both written and verbal formats
Demonstrated ability to present data science results and actionable recommendations to business and technical clients
Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition
Preferred Qualifications:
Master’s or PhD degree in data science, applied mathematics, computer science, engineering, statistics, business analytics, or economics
Experience in media mix modeling, lifetime value analysis, and segmentation strongly preferred
Experience in consumer products, retail, publishing, or digital products strongly preferred
Prior knowledge of internal Disney data and databases
Experience creating and delivering analytic widgets, such as R-Shiny apps
Knowledge and professional application of machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN, etc.) and modern deep learning techniques (PyTorch, Keras/Tensorflow) is a plus
Required Education :
Bachelor’s degree in data science, applied mathematics, statistics, business analytics, economics, computer science, engineering
Preferred Education :
Master’s or PhD degree in data science, applied mathematics, computer science, engineering, statistics, business analytics, or economics
Jul 29, 2019
Full-time
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Disney Parks, Experiences & Products (DPEP). CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Strategic Analytics team is seeking a Data Scientist to support Consumer Products (CP), the division of DPEP that brings stories and characters to life through innovative and engaging physical products and digital experiences across more than 100 categories, from toys and t-shirts, to apps, books and console games. In this role the Data Scientist will leverage multiple statistical and machine learning methodologies to influence decisions and action planning, with focus on media mix modeling, LTV, and model development for segmentation and targeting customers. The position reports to the Senior Manager, Strategic Analytics and will be based in Glendale, CA.
Responsibilities :
Reframe business objectives and questions as statistical and analytics tasks that can deliver actionable insights, create accurate predictions, and drive effective optimization
Process, cleanse, validate and integrate data from different sources for reporting, analyses, model building and data visualization
Build predictive models and algorithms to effectively measure and optimize business performance, including media mix and LTV models, and models for customer segmentation and targeting, including churn and propensity models
Collaborate with data engineers to build data pipelines that drive downstream workflow
Analyze large and complex consumer behavior data to identify patterns and uncover opportunities related to how guests are interacting with shopDisney.com, Disney Stores, and retail subscription businesses
Develop and deliver action-oriented, insightful analytic presentations that provide consultative direction to key stakeholders
Monitor trends in data science and alternative sources to ensure the use of best in class tools and techniques
Basic Qualifications :
Bachelor’s degree in data science, applied mathematics, statistics, business analytics, economics, computer science, engineering
4+ years of professional data science/analytical experience
4+ years of professional experience using data-building and statistical programming languages: SAS, Python, R, SQL, etc.
Practical experience and expertise in applied statistics and data science methodologies (general advanced data modeling and predictive analytics e.g., multi-variate regression analysis, machine learning, forecasting, Bayesian estimation)
Experience with data exploration utilizing data visualization tools (e.g. Tableau, PowerBI, Pandas, ggplot2, Plotly)
Ability to think strategically, including interpreting market and consumer information
Strong communication skills
Ability to simplify highly complex analyses into terms that are easily accessible and impactful for both written and verbal formats
Demonstrated ability to present data science results and actionable recommendations to business and technical clients
Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition
Preferred Qualifications:
Master’s or PhD degree in data science, applied mathematics, computer science, engineering, statistics, business analytics, or economics
Experience in media mix modeling, lifetime value analysis, and segmentation strongly preferred
Experience in consumer products, retail, publishing, or digital products strongly preferred
Prior knowledge of internal Disney data and databases
Experience creating and delivering analytic widgets, such as R-Shiny apps
Knowledge and professional application of machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN, etc.) and modern deep learning techniques (PyTorch, Keras/Tensorflow) is a plus
Required Education :
Bachelor’s degree in data science, applied mathematics, statistics, business analytics, economics, computer science, engineering
Preferred Education :
Master’s or PhD degree in data science, applied mathematics, computer science, engineering, statistics, business analytics, or economics
The Marketing Analytics team is tasked with providing data support to marketing operations teams with a mission to drive new subscriber growth. The Sr. Manager, Data Analytics will play a critical analytics role in supporting media channels including Paid Search, Display, Social, Video, Audio and Affiliate. This individual will analyze complex data from both internal and external sources to help identify opportunities, inform media buying, optimize conversion funnels and ensure media dollars are optimally invested. The ideal candidate has a passion for the digital media landscape and understands the intricacies and unique attributes of every step in the marketing funnel.
Responsibilities :
Support Paid Digital marketing team (Social, Display, Paid Search, Audio, Video CTV and affiliate channels) to optimize channel performance, understand analytics needs and set roadmaps for analytics work
Develop and maintain key analyses around our marketing funnel, build automated reporting and present results to the broader organization
Monitor and analyze performance data across channels, tactics, partners and individual ad networks to ensure budget is optimized
Mine internal user and response data to develop targeting models, decision rules and response forecasting
Develop test and learn strategies related to targeting, creatives and other variables to improve end-to-end conversion throughout the funnel
Manage user acquisition data tracking integrations both internally and with third parties
Basic Qualifications :
7+ years of experience within digital marketing and advanced data analytics
Strong analytical skills with the ability to apply business strategy to data analysis and recommendations
Expertise in digital media, web analytics and in-app systems including ad serving, tracking and reporting tools including DoubleClick, DART, Adobe Analytics, Kochava, Flashtalking, media platforms (DBM, Google Search, Adwords, Facebook, etc.) and DMP solutions (BlueKai, Salesforce, etc.)
Deep understanding of the underlying technology and algorithms behind each of our partner ad networks/platforms and how to optimize results
Excellent understanding of media fundamentals and industry knowledge, including media metrics and quantitative business measures
Strong understanding of measurement and attribution
Expertise manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
Proficiency with SQL
Familiarity with business intelligence platforms and tools (e.g., Tableau, Looker, etc.)
Preferred Qualifications:
Experience in the streaming media industry or other subscription-based service
Python or R experience writing, managing and deploying code
Required Education :
Bachelor’s degree in relevant focus (i.e., Computer Science, Data Science, Statistics or Machine Learning)
Jul 29, 2019
Full-time
The Marketing Analytics team is tasked with providing data support to marketing operations teams with a mission to drive new subscriber growth. The Sr. Manager, Data Analytics will play a critical analytics role in supporting media channels including Paid Search, Display, Social, Video, Audio and Affiliate. This individual will analyze complex data from both internal and external sources to help identify opportunities, inform media buying, optimize conversion funnels and ensure media dollars are optimally invested. The ideal candidate has a passion for the digital media landscape and understands the intricacies and unique attributes of every step in the marketing funnel.
Responsibilities :
Support Paid Digital marketing team (Social, Display, Paid Search, Audio, Video CTV and affiliate channels) to optimize channel performance, understand analytics needs and set roadmaps for analytics work
Develop and maintain key analyses around our marketing funnel, build automated reporting and present results to the broader organization
Monitor and analyze performance data across channels, tactics, partners and individual ad networks to ensure budget is optimized
Mine internal user and response data to develop targeting models, decision rules and response forecasting
Develop test and learn strategies related to targeting, creatives and other variables to improve end-to-end conversion throughout the funnel
Manage user acquisition data tracking integrations both internally and with third parties
Basic Qualifications :
7+ years of experience within digital marketing and advanced data analytics
Strong analytical skills with the ability to apply business strategy to data analysis and recommendations
Expertise in digital media, web analytics and in-app systems including ad serving, tracking and reporting tools including DoubleClick, DART, Adobe Analytics, Kochava, Flashtalking, media platforms (DBM, Google Search, Adwords, Facebook, etc.) and DMP solutions (BlueKai, Salesforce, etc.)
Deep understanding of the underlying technology and algorithms behind each of our partner ad networks/platforms and how to optimize results
Excellent understanding of media fundamentals and industry knowledge, including media metrics and quantitative business measures
Strong understanding of measurement and attribution
Expertise manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
Proficiency with SQL
Familiarity with business intelligence platforms and tools (e.g., Tableau, Looker, etc.)
Preferred Qualifications:
Experience in the streaming media industry or other subscription-based service
Python or R experience writing, managing and deploying code
Required Education :
Bachelor’s degree in relevant focus (i.e., Computer Science, Data Science, Statistics or Machine Learning)
Data Analysts in the Disney+ Content Analytics team are the experimentation and analytics partner for the Disney+ studio content team. They focus on driving content engagement on Disney+ through measurement, analysis, and insight generation. These analysts focus on improving business results through the combination of statistical rigor, data analysis, and fast paced execution with an emphasis on driving actionable business recommendations.
Responsibilities :
Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically.
Goaling and KPIs: Work “full-stack” to define KPIs and goal metrics with XFN stakeholders, forecast outcomes, and measure pacing against those targets.
Business Performance Reporting, Visualization, and Regression Management: Be the primary partner for cross-functional stakeholders to understand performance of content on the platform. When content engagement is ahead or behind expectations, dig in to drive meaningful, actionable insights that help the business performance improve or double-down on success.
Deep-Dive Analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content.
Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this analyst will be tasked with forecasting and opportunity sizing. This will help business stakeholders evaluate trade-offs in different approaches, and create targets for driving business performance.
Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
Basic Qualifications :
4+ years of analytical experience.
2+ years work experience using SQL and Python/R or other statistical programming language.
Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills, as well as written and verbal presentation skills.
Degree in an analytical field.
Jul 29, 2019
Full-time
Data Analysts in the Disney+ Content Analytics team are the experimentation and analytics partner for the Disney+ studio content team. They focus on driving content engagement on Disney+ through measurement, analysis, and insight generation. These analysts focus on improving business results through the combination of statistical rigor, data analysis, and fast paced execution with an emphasis on driving actionable business recommendations.
Responsibilities :
Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically.
Goaling and KPIs: Work “full-stack” to define KPIs and goal metrics with XFN stakeholders, forecast outcomes, and measure pacing against those targets.
Business Performance Reporting, Visualization, and Regression Management: Be the primary partner for cross-functional stakeholders to understand performance of content on the platform. When content engagement is ahead or behind expectations, dig in to drive meaningful, actionable insights that help the business performance improve or double-down on success.
Deep-Dive Analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content.
Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this analyst will be tasked with forecasting and opportunity sizing. This will help business stakeholders evaluate trade-offs in different approaches, and create targets for driving business performance.
Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
Basic Qualifications :
4+ years of analytical experience.
2+ years work experience using SQL and Python/R or other statistical programming language.
Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills, as well as written and verbal presentation skills.
Degree in an analytical field.
