Voto Latino seeks a Data & Analytics Director to build a program to track, support, and optimize our rapidly growing online and offline outreach to young and diverse voters. We know that Latinx voters are poised to be the largest minority voting bloc in 2020, with more than 800,000 Latinx citizens become eligible to vote each year. Voto Latino, building on a track record of organizational successes since 2004, is ready to take on this challenge, with the guidance and support of a great Data & Analytics Director.
This position will work across teams -- field, political, digital, communications -- and act as the central data resource and key strategist for all of Voto Latino’s campaigns and programs. This position will be responsible for building and implementing sophisticated targeting programs nationally for both our growing online and on-the-ground efforts. There will be a strong focus on key states for civic and electoral engagement, working with data vendors, visualizing data and analytics, learning from historic and contemporary data, and managing Voto Latino’s voter outreach data.
The ideal candidate should be a creative, data driven, analytical individual who likes to work in a dynamic, entrepreneurial environment with an eye towards using data to foster change.
This position will report to the Managing Director and work collaboratively across departments.
POSITION RESPONSIBILITIES
Provide teams with regular reports on various data projects and work closely with the field and digital teams for data analysis, tracking progress to goal and programmatic growth
Advise leadership on volunteer and voter registration activity, as well as targeted state’s progress, priorities, and challenges
Create and implement data plans for on-the-ground programs and digital programs
Serve as one of the liaisons between Voto Latino team and key data vendors/partners, such as: Every Action, Mobile Commons and Hustle
Train staff and volunteers to effectively utilize data and available tools for voter outreach
Work with Digital and Campaigns teams to manage a national and state database of program activity and member activism
Act as a point of reference for research on engaging young and Latinx voters as well as voter outreach and registration best practices
Perform other duties as assigned
REQUIREMENTS
3 to 5 years of successful experience in a data and analytics role
Advanced Excel and at least one of the following: SQL, R and/or Python
Experience administering VAN or EveryAction (or other CRM) and managing data across multiple tools and databases such as EveryAction, MobileCommons, Hustle and Redshift
Ability to build reports, compelling data visualizations and maps, using tools such as Tableau
Strong interpersonal skills and experience meeting deadlines in a fast-paced and team-oriented environment
Demonstrated analytical creativity, problem-solving abilities and experience managing data programs
Excellent leadership development skills, be a strong self-starter, have experience with communication via data analysis, and grassroots organizing experience
Knowledge of Google Analytics is desired but not required
Consistent record of juggling multiple tasks/campaigns with varying and shifting deadlines
Demonstrated commitment to and awareness of Latinx civil rights and/or issues of social justice
Travel may be required
Must be based or be willing to move to the Washington, DC area
SALARY & BENEFITS
Salary is commensurate with experience. Voto Latino also offers competitive benefits, including health insurance, and vacation leave. Applications will be considered until the position is filled.
TO APPLY
Send your resume and cover letter to hr@votolatino.org. Please use “Data & Analytics Director” in the subject line.
ABOUT VOTO LATINO
Founded in 2004, Voto Latino is a dynamic and growing non-partisan organization whose civic engagement campaigns have reached an estimated 55 million Latino households nationwide. United by the belief that Latino issues are American issues and American issues are Latino issues, Voto Latino is dedicated to bringing new and diverse voices into the political process by engaging youth, media, technology and celebrities to promote positive change.
Voto Latino is an equal opportunity employer, committed to inclusive hiring and dedicated to diversity in our work and staff. We do not discriminate in employment opportunities or practices on the basis of actual or perceived race, color, religion, national origin, sex (including pregnancy, childbirth or related medical conditions), age, marital status, sexual orientation, gender identity or expression, veteran status, uniform service member status, disability or any other characteristic protected by law. Women, people of color, including bilingual and bicultural individuals, LGBTQ persons, and people with disabilities are encouraged to apply.
Sep 10, 2019
Full-time
Voto Latino seeks a Data & Analytics Director to build a program to track, support, and optimize our rapidly growing online and offline outreach to young and diverse voters. We know that Latinx voters are poised to be the largest minority voting bloc in 2020, with more than 800,000 Latinx citizens become eligible to vote each year. Voto Latino, building on a track record of organizational successes since 2004, is ready to take on this challenge, with the guidance and support of a great Data & Analytics Director.
This position will work across teams -- field, political, digital, communications -- and act as the central data resource and key strategist for all of Voto Latino’s campaigns and programs. This position will be responsible for building and implementing sophisticated targeting programs nationally for both our growing online and on-the-ground efforts. There will be a strong focus on key states for civic and electoral engagement, working with data vendors, visualizing data and analytics, learning from historic and contemporary data, and managing Voto Latino’s voter outreach data.
The ideal candidate should be a creative, data driven, analytical individual who likes to work in a dynamic, entrepreneurial environment with an eye towards using data to foster change.
This position will report to the Managing Director and work collaboratively across departments.
POSITION RESPONSIBILITIES
Provide teams with regular reports on various data projects and work closely with the field and digital teams for data analysis, tracking progress to goal and programmatic growth
Advise leadership on volunteer and voter registration activity, as well as targeted state’s progress, priorities, and challenges
Create and implement data plans for on-the-ground programs and digital programs
Serve as one of the liaisons between Voto Latino team and key data vendors/partners, such as: Every Action, Mobile Commons and Hustle
Train staff and volunteers to effectively utilize data and available tools for voter outreach
Work with Digital and Campaigns teams to manage a national and state database of program activity and member activism
Act as a point of reference for research on engaging young and Latinx voters as well as voter outreach and registration best practices
Perform other duties as assigned
REQUIREMENTS
3 to 5 years of successful experience in a data and analytics role
Advanced Excel and at least one of the following: SQL, R and/or Python
Experience administering VAN or EveryAction (or other CRM) and managing data across multiple tools and databases such as EveryAction, MobileCommons, Hustle and Redshift
Ability to build reports, compelling data visualizations and maps, using tools such as Tableau
Strong interpersonal skills and experience meeting deadlines in a fast-paced and team-oriented environment
Demonstrated analytical creativity, problem-solving abilities and experience managing data programs
Excellent leadership development skills, be a strong self-starter, have experience with communication via data analysis, and grassroots organizing experience
Knowledge of Google Analytics is desired but not required
Consistent record of juggling multiple tasks/campaigns with varying and shifting deadlines
Demonstrated commitment to and awareness of Latinx civil rights and/or issues of social justice
Travel may be required
Must be based or be willing to move to the Washington, DC area
SALARY & BENEFITS
Salary is commensurate with experience. Voto Latino also offers competitive benefits, including health insurance, and vacation leave. Applications will be considered until the position is filled.
TO APPLY
Send your resume and cover letter to hr@votolatino.org. Please use “Data & Analytics Director” in the subject line.
ABOUT VOTO LATINO
Founded in 2004, Voto Latino is a dynamic and growing non-partisan organization whose civic engagement campaigns have reached an estimated 55 million Latino households nationwide. United by the belief that Latino issues are American issues and American issues are Latino issues, Voto Latino is dedicated to bringing new and diverse voices into the political process by engaging youth, media, technology and celebrities to promote positive change.
Voto Latino is an equal opportunity employer, committed to inclusive hiring and dedicated to diversity in our work and staff. We do not discriminate in employment opportunities or practices on the basis of actual or perceived race, color, religion, national origin, sex (including pregnancy, childbirth or related medical conditions), age, marital status, sexual orientation, gender identity or expression, veteran status, uniform service member status, disability or any other characteristic protected by law. Women, people of color, including bilingual and bicultural individuals, LGBTQ persons, and people with disabilities are encouraged to apply.
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 .
Sep 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 .
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 :
5+ years of analytical experience.
3+ 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.
Aug 30, 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 :
5+ years of analytical experience.
3+ 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.
At Disney, we are 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 Disney Parks Experiences & Products ( DPEP ) Technology team combines custom technology solutions with creativity to produce robust applications that enhance all aspects of the guest experience. From one of the most sophisticated hotel reservation systems in the world to Disney Cruise Line shipboard systems, Disney Vacation Club member services, FastPass ticketing, PhotoPass, and even inventory applications to ensure we have the right number of cast costumes. Also through our award-winning websites, we provide a digital portal to magical travel destinations such as the Walt Disney World® Resort in Florida, the Disneyland® Resort in California, Disney Cruise Line, Disneyland Paris, Hong Kong Disneyland Resort and Shanghai Disney Resort. DPEP Technology seeks forward-thinking team members who are passionate about delivering a quality product and enjoy working closely with business partners on both strategic and tactical challenges.
Responsibilities :
This intern could be expected to work on engineering and ingestion of multiple data flows/pipelines from on-prem to BigData Hadoop platform in Cloud. They will work on developing workflows to move, transform, store and consume the data using BigData/Hadoop technologies. They will work on deploying various application code/modules on the platform and verifying the executions. The intern could also work with data scientists to develop and operationalize data used by multiple machine learning models, work on creating an automated monitoring process and reporting on the critical alerts and/or be working on data analysis and analytics design pattern experience and be effective at developing solutions as part of project team.
Basic Qualifications :
What you bring…
Strong understanding of Computer Science fundamentals
Strong understanding of Data Lake, Big Data, Hadoop concepts.
Strong understanding of Data Security concepts.
Developer skills in Java and Python.
SQL experience/knowledge
Familiarity with AWS, HDFS/Hive, Spark/Scala, NiFI and/or similar technologies
Familiarity with machine learning libraries like Spark MLLib, AWS Machine Learning, Mahout, JSAT or similar
Solid grounding in data science and information management disciplines
Understanding of Linux operating system and networking fundamentals.
Problem solving and analysis skills
Excellent written, verbal, interpersonal communication and time management skills
Preferred Qualifications:
NiFi experience/knowledge
Numpy experience/knowledge
Pandas experience/knowledge
Python experience/knowledge
Scala experience/knowledge
Database experience such as MySQL, NoSQL, etc...
Preferred Education :
Junior, Senior, Graduate Level student or recent graduate (within 6 months of graduating) pursuing a Bachelor's or Master's Degree or PhD in Computer Science, Computer Engineering, Management Information Systems or related field. Additional Information :
Internship Eligibility:
Must be enrolled in an accredited 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 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
Must provide full work availability
Must provide own transportation to/from work
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 Length: The approximate dates of this internship are Beginning of January 2020- Beginning of May 2020. Interns must be fully available for the duration of the internship. Housing: A limited amount of company sponsored housing is available on first-come, first-serve basis. If company sponsored housing is not available, interns must be able to provide their own housing for the duration of the internship. Recommendation – Print or Save This Role Description: Strong candidates may be invited to complete a phone interview. We strongly encourage applicants to print a copy of this role description so they can refer to it in the event they are selected for a phone interview.
Aug 28, 2019
Internship
At Disney, we are 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 Disney Parks Experiences & Products ( DPEP ) Technology team combines custom technology solutions with creativity to produce robust applications that enhance all aspects of the guest experience. From one of the most sophisticated hotel reservation systems in the world to Disney Cruise Line shipboard systems, Disney Vacation Club member services, FastPass ticketing, PhotoPass, and even inventory applications to ensure we have the right number of cast costumes. Also through our award-winning websites, we provide a digital portal to magical travel destinations such as the Walt Disney World® Resort in Florida, the Disneyland® Resort in California, Disney Cruise Line, Disneyland Paris, Hong Kong Disneyland Resort and Shanghai Disney Resort. DPEP Technology seeks forward-thinking team members who are passionate about delivering a quality product and enjoy working closely with business partners on both strategic and tactical challenges.
Responsibilities :
This intern could be expected to work on engineering and ingestion of multiple data flows/pipelines from on-prem to BigData Hadoop platform in Cloud. They will work on developing workflows to move, transform, store and consume the data using BigData/Hadoop technologies. They will work on deploying various application code/modules on the platform and verifying the executions. The intern could also work with data scientists to develop and operationalize data used by multiple machine learning models, work on creating an automated monitoring process and reporting on the critical alerts and/or be working on data analysis and analytics design pattern experience and be effective at developing solutions as part of project team.
Basic Qualifications :
What you bring…
Strong understanding of Computer Science fundamentals
Strong understanding of Data Lake, Big Data, Hadoop concepts.
Strong understanding of Data Security concepts.
Developer skills in Java and Python.
SQL experience/knowledge
Familiarity with AWS, HDFS/Hive, Spark/Scala, NiFI and/or similar technologies
Familiarity with machine learning libraries like Spark MLLib, AWS Machine Learning, Mahout, JSAT or similar
Solid grounding in data science and information management disciplines
Understanding of Linux operating system and networking fundamentals.
Problem solving and analysis skills
Excellent written, verbal, interpersonal communication and time management skills
Preferred Qualifications:
NiFi experience/knowledge
Numpy experience/knowledge
Pandas experience/knowledge
Python experience/knowledge
Scala experience/knowledge
Database experience such as MySQL, NoSQL, etc...
Preferred Education :
Junior, Senior, Graduate Level student or recent graduate (within 6 months of graduating) pursuing a Bachelor's or Master's Degree or PhD in Computer Science, Computer Engineering, Management Information Systems or related field. Additional Information :
Internship Eligibility:
Must be enrolled in an accredited 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 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
Must provide full work availability
Must provide own transportation to/from work
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 Length: The approximate dates of this internship are Beginning of January 2020- Beginning of May 2020. Interns must be fully available for the duration of the internship. Housing: A limited amount of company sponsored housing is available on first-come, first-serve basis. If company sponsored housing is not available, interns must be able to provide their own housing for the duration of the internship. Recommendation – Print or Save This Role Description: Strong candidates may be invited to complete a phone interview. We strongly encourage applicants to print a copy of this role description so they can refer to it in the event they are selected for a phone interview.
It’s the magic of immersing yourself in a motion picture masterpiece, or a new track from your favorite band, or the spectacle of a live Broadway show. It’s hard to define and even harder to create, but that’s what we do at The Walt Disney Studios. Ours is a culture of innovation, collaboration and creativity. We raise the bar, then step over it, blazing trails through the production and distribution of world-class entertainment around the globe. If you want to help tell compelling, enduring stories through movies, music or stage plays, then we want to hear from you. The Walt Disney Studios encompasses the creation, production, promotion, sales, acquisition and domestic and international distribution of live-action and animated motion pictures, home entertainment releases, live stage plays, and music and soundtrack recordings. The Piracy Intelligence team at The Walt Disney Studios is based in Burbank and provides meaningful piracy insights to inform strategies that maximize revenue for the film and TV business and minimize the piracy impact. The Piracy Intelligence team is looking for a Market Research & Data Analyst, who will be responsible for providing support to a variety of piracy intelligence initiatives to measure movie and TV viewing trends across digital media platforms. He/She will process, analyze, and report on data from functions within piracy intelligence and across various business units supporting film distribution. He/She will work closely with the Piracy Intelligence Manager to execute market research projects, perform data analysis, and ensure accurate use and reporting of the data to provide business insights. Responsibilities :
Support the execution of Piracy Intelligence market research projects, including survey programming, data cleaning and processing, and analysis
Develop and update dashboards that integrate data from various sources
Assist in the development, execution, and delivery of ongoing piracy landscape reports
Lead communications with third-party vendors
Continually leverage, integrate, and analyze research studies from multiple sources in order to synthesize insights
Manage the ongoing milestones and deliverables of several projects running simultaneously
Manage priorities effectively of ongoing projects and ad hoc requests
Basic Qualifications :
1-2 years of experience with quantitative research, preferably at a market research agency/firm
Strong problem-solving and analytical skills
Ability to pay close attention to detail and understand written and oral instructions
Ability to communicate clearly in both written and oral form
Self-starter and highly organized, with the ability to manage multiple tasks simultaneously
Must be a fast learner and capable of executing tasks with minimal oversight
Ability to work well under time constraints
Expertise in use of Excel and presentation software such as PowerPoint or Keynote
Experience with Qualtrics required
Preferred Qualifications:
Knowledge and use of statistical software (SPSS)
Experience with Tableau
Sep 06, 2019
Full-time
It’s the magic of immersing yourself in a motion picture masterpiece, or a new track from your favorite band, or the spectacle of a live Broadway show. It’s hard to define and even harder to create, but that’s what we do at The Walt Disney Studios. Ours is a culture of innovation, collaboration and creativity. We raise the bar, then step over it, blazing trails through the production and distribution of world-class entertainment around the globe. If you want to help tell compelling, enduring stories through movies, music or stage plays, then we want to hear from you. The Walt Disney Studios encompasses the creation, production, promotion, sales, acquisition and domestic and international distribution of live-action and animated motion pictures, home entertainment releases, live stage plays, and music and soundtrack recordings. The Piracy Intelligence team at The Walt Disney Studios is based in Burbank and provides meaningful piracy insights to inform strategies that maximize revenue for the film and TV business and minimize the piracy impact. The Piracy Intelligence team is looking for a Market Research & Data Analyst, who will be responsible for providing support to a variety of piracy intelligence initiatives to measure movie and TV viewing trends across digital media platforms. He/She will process, analyze, and report on data from functions within piracy intelligence and across various business units supporting film distribution. He/She will work closely with the Piracy Intelligence Manager to execute market research projects, perform data analysis, and ensure accurate use and reporting of the data to provide business insights. Responsibilities :
Support the execution of Piracy Intelligence market research projects, including survey programming, data cleaning and processing, and analysis
Develop and update dashboards that integrate data from various sources
Assist in the development, execution, and delivery of ongoing piracy landscape reports
Lead communications with third-party vendors
Continually leverage, integrate, and analyze research studies from multiple sources in order to synthesize insights
Manage the ongoing milestones and deliverables of several projects running simultaneously
Manage priorities effectively of ongoing projects and ad hoc requests
Basic Qualifications :
1-2 years of experience with quantitative research, preferably at a market research agency/firm
Strong problem-solving and analytical skills
Ability to pay close attention to detail and understand written and oral instructions
Ability to communicate clearly in both written and oral form
Self-starter and highly organized, with the ability to manage multiple tasks simultaneously
Must be a fast learner and capable of executing tasks with minimal oversight
Ability to work well under time constraints
Expertise in use of Excel and presentation software such as PowerPoint or Keynote
Experience with Qualtrics required
Preferred Qualifications:
Knowledge and use of statistical software (SPSS)
Experience with Tableau
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.
Responsibilities :
The mission of the Customer Information Management team is to optimize the value of customer data for use in building direct customer relationships and delivering relevant customer experiences across TWDC’s brands and businesses globally. As a central resource for company-wide customer data, the team partners with stakeholders across the company to establish data practices, policies and capabilities to collect, use and share data in support business objectives, while maintaining respectful consumer data practices.
Primary responsibilities of the group are to:
Enrich enterprise data assets by acquiring, organizing and aggregating customer data from various sources to construct a full and accurate view of a customer’s interactions with the company for use in direct/email marketing, targeted media campaigns and analytics.
Deliver customer data, data analysis support and customer data insights to businesses on as needed basis, including audience selection and segmentation services as well as email marketing campaign services.
Establish global, company-wide standards and business policies for collection, sharing, use and retention of customer information, including standards for cross-business use, communication/targeting relevance and other brand-related controls.
Own and operate enterprise-wide tools and capabilities, including the shared enterprise-wide customer/ marketing data environment and any company-wide customer-facing tools (e.g., customer preference and email permission centers)
Basic Qualifications :
If you’re passionate about helping businesses leverage customer data for marketing and consumer insights and have a soft spot for the brands of the Walt Disney Company, we want to talk to you. The Manager will work with internal CIM campaign management teams as well as external BU marketing team to understand data needs and business requirements related to customer data. The manager will then define, code (using SQL), schedule, run and maintain manual data processing jobs as well as automated data processing jobs that transform critical (raw) source data sets into structured and standardized formats for use by business unit marketing teams and CIM’s internal campaign management team. This includes but is not limited to the creation of franchise and business affinity indicators based on analysis of customer transactions, website/app interactions, account registration and login activity and email campaign responses. The manager will also lead projects to acquire new data, including evaluating the quality, consistency, organization, volume and utility of customer data for use by CIM and other business unit marketing teams. The manager will produce ad hoc reports based on business and leadership needs by constructing analytical queries using SQL providing insights and tracking recent customer transactions, cross-line-of business engagement, and other key performance indicators. This position has 1 direct report (undergraduate associate).
Maintain Franchise Layer (run processing jobs transforming raw interaction data into summary flags), including updating, testing and releasing new SQL code to production to capture new franchise interaction data. Ensure franchise data is updated weekly and available for use by marketing stakeholders. Provide ad hoc analysis and reporting against franchise interaction data.
Oversee execution of scheduled data transfers to Chase Bank on behalf of Disney Rewards Visa Card (DRVC) group. Collaborate with DRVC to define new customer data goals and translate into project plans. Execute technical requirements as needed, including ad hoc analysis and reporting as needed.
Lead data onboarding projects in collaboration with technology partners, including analysis and evaluation of source data as well as documentation of source data taxonomy and data transformation requirements.
Develop and maintain technical documentation of all assigned data processing activities, automated and manual, current and new, including business rules, data sources, data processing requirements and related logic.
In collaboration with leadership, identify opportunities for automation and execute technical requirements.
Total of 5+ years of progressively increasing responsibility in data analysis, business intelligence or data science roles during which both technical and management capability have been clearly demonstrated.
Experience managing technology investments and costs related to vendor solutions as well as internal technical development investments
3 + year experience managing data analysts, BI developers, and/or data scientists.
Intermediate level SQL expertise, experience writing SQL queries against large data sets.
Demonstrated experience with databases, business intelligence tools, reporting, analytical environments
Extensive expertise and knowledge in how data assets are used in marketing, consumer strategy, reporting, analytical functions.
Experience with large scale, multi-terabyte level data solutions supporting direct-to-consumer marketing.
Expertise in understanding business needs and working with non-technical and non-customer data centric marketers
Excellent interpersonal skills working with customers and engineers; equally credible with individual contributors and executives.
Required Education :
4-year bachelor’s degree in computer science/information science/engineering or related Bachelor of Arts degree with heavy focus on analytical and statistical methods.
Preferred Education :
Master's degree in computer science/information science/engineering or related Master of Arts degree with heavy focus on analytical and statistical methods.
Aug 31, 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.
Responsibilities :
The mission of the Customer Information Management team is to optimize the value of customer data for use in building direct customer relationships and delivering relevant customer experiences across TWDC’s brands and businesses globally. As a central resource for company-wide customer data, the team partners with stakeholders across the company to establish data practices, policies and capabilities to collect, use and share data in support business objectives, while maintaining respectful consumer data practices.
Primary responsibilities of the group are to:
Enrich enterprise data assets by acquiring, organizing and aggregating customer data from various sources to construct a full and accurate view of a customer’s interactions with the company for use in direct/email marketing, targeted media campaigns and analytics.
Deliver customer data, data analysis support and customer data insights to businesses on as needed basis, including audience selection and segmentation services as well as email marketing campaign services.
Establish global, company-wide standards and business policies for collection, sharing, use and retention of customer information, including standards for cross-business use, communication/targeting relevance and other brand-related controls.
Own and operate enterprise-wide tools and capabilities, including the shared enterprise-wide customer/ marketing data environment and any company-wide customer-facing tools (e.g., customer preference and email permission centers)
Basic Qualifications :
If you’re passionate about helping businesses leverage customer data for marketing and consumer insights and have a soft spot for the brands of the Walt Disney Company, we want to talk to you. The Manager will work with internal CIM campaign management teams as well as external BU marketing team to understand data needs and business requirements related to customer data. The manager will then define, code (using SQL), schedule, run and maintain manual data processing jobs as well as automated data processing jobs that transform critical (raw) source data sets into structured and standardized formats for use by business unit marketing teams and CIM’s internal campaign management team. This includes but is not limited to the creation of franchise and business affinity indicators based on analysis of customer transactions, website/app interactions, account registration and login activity and email campaign responses. The manager will also lead projects to acquire new data, including evaluating the quality, consistency, organization, volume and utility of customer data for use by CIM and other business unit marketing teams. The manager will produce ad hoc reports based on business and leadership needs by constructing analytical queries using SQL providing insights and tracking recent customer transactions, cross-line-of business engagement, and other key performance indicators. This position has 1 direct report (undergraduate associate).
Maintain Franchise Layer (run processing jobs transforming raw interaction data into summary flags), including updating, testing and releasing new SQL code to production to capture new franchise interaction data. Ensure franchise data is updated weekly and available for use by marketing stakeholders. Provide ad hoc analysis and reporting against franchise interaction data.
Oversee execution of scheduled data transfers to Chase Bank on behalf of Disney Rewards Visa Card (DRVC) group. Collaborate with DRVC to define new customer data goals and translate into project plans. Execute technical requirements as needed, including ad hoc analysis and reporting as needed.
Lead data onboarding projects in collaboration with technology partners, including analysis and evaluation of source data as well as documentation of source data taxonomy and data transformation requirements.
Develop and maintain technical documentation of all assigned data processing activities, automated and manual, current and new, including business rules, data sources, data processing requirements and related logic.
In collaboration with leadership, identify opportunities for automation and execute technical requirements.
Total of 5+ years of progressively increasing responsibility in data analysis, business intelligence or data science roles during which both technical and management capability have been clearly demonstrated.
Experience managing technology investments and costs related to vendor solutions as well as internal technical development investments
3 + year experience managing data analysts, BI developers, and/or data scientists.
Intermediate level SQL expertise, experience writing SQL queries against large data sets.
Demonstrated experience with databases, business intelligence tools, reporting, analytical environments
Extensive expertise and knowledge in how data assets are used in marketing, consumer strategy, reporting, analytical functions.
Experience with large scale, multi-terabyte level data solutions supporting direct-to-consumer marketing.
Expertise in understanding business needs and working with non-technical and non-customer data centric marketers
Excellent interpersonal skills working with customers and engineers; equally credible with individual contributors and executives.
Required Education :
4-year bachelor’s degree in computer science/information science/engineering or related Bachelor of Arts degree with heavy focus on analytical and statistical methods.
Preferred Education :
Master's degree in computer science/information science/engineering or related Master of Arts degree with heavy focus on analytical and statistical methods.
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, Audience Segmentation for Linear to Digital Ad Sales, and Analytics. The Technical Manager and his team will work within the Data Platform and will be charged with delivering actionable data insights from Disney’s large and diverse set of first and third party data sources. This data will come from every aspect of the user journey and product experience - user on-boarding, registration, personalization, ad-sales. Data models will be both implicit and explicit. The primary objective will be to apply modern big data techniques to discover patterns in user behavior that can be leveraged to drive three main metrics – user frequency, user engagement and revenue yield. Further, you will be tasked with building models to segment and cluster consumers based on vast amount of digital and broadcast content – marrying these models with user behavior patterning to deliver personalized, unique experiences to each Disney consumers. You will work closely with Product Managers, Designers, Audience Development and Content Development to identify areas of opportunity. You’ll work with the entirety of DTCI to build infrastructure and systems that support scalable self-serve analytical platform across the enterprise. You’ll evangelize the work product of the data function within the company – both upward to executive management and across the organization to peer and constituent groups. You’ll be an excellent communicator, communicating insight, progress and plans to all levels of the company. You will be responsible for creating and approving artifacts designed to document models, requirements, and results. You’ll bring your knowledge of standard data analytic methods including, but not limited to statistical modelling and SQL based analysis, and more extensive analysis using Spark, R and Python or similar tools. Furthermore, you will be skilled subject matter expert in defining customer engagement metrics, revenue yield, life time value (LTV) across the enterprise. Responsibilities :
Hire and mentor Data Analysts in the team to build consumer data analytics solution across DTCI
Stake holder interviews to build self-serve analytical framework – requirements may include consumer engagement as well as digital ad engagements across all products.
Selecting methods for performing advanced data analysis.
Extensive big data analysis and come up with logic to build analytical dimensions and metrics using Hive, Spark QL or Scripting Languages such as Python.
Document logic in order to help engineering team to implement them.
Build statistical models using tools specified above.
Clearly communicate design & development strategies to all stake holders, educate them as and when needed.
Establishes, supports and maintains standards of the analytics and data analytics process.
Work with engineering team to build infrastructure designed to facilitate the construction of models and the exposure of those models to end users throughout the company.
Work with engineering team to automate daily monitoring of models in production, help troubleshoot issues and make necessary improvements as needed.
Performing ad hoc analysis, interpreting and communicating results in a clear manner
Processing, cleansing and verifying the integrity of data used for analysis
Evangelize the work product of the data science function within the company - both upward to executive management and across to peers and constituent groups.
Coordinate and execute experiments and create frameworks to support those experiments designed to inform both the strategic and tactical initiatives of the Product team.
Assist in the preparation of presentations and formal analysis in support of executive decision making and strategy development.
Basic Qualifications :
First-hand experience – Have 8+ years of professional experience as a Data Analyst mining large scale data and transform data points to knowledge.
Data ninja – Must be hands-on on data analysis tools and frameworks such as SQL, Hive, Spark QL or Python to analyze any amount of data to both solve business requirements and feed in to engineering team to build data transformations.
Visionary - Solid understanding of big data and how an organization will be able build data driven products.
Have a data toolbox – Familiar with technologies relevant to the data such as Hadoop, OLAP databases and visualization tools such as Tableau or Looker or similar.
Hunger to Learn & Teach – Genuine interest to do conduct data mining and share the finding with internal team as well as business users.
Problem solver – Enjoy solving complex business problem using deep data analysis.
Team player – Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team
Minimum 2 years of management experience
Expert knowledge of a common big data tools such as SQL, Hive, Hadoop
Expert level knowledge in at least one programming language such as python, R, Scala, Java.
Experience in working with large datasets (Terabytes or more)
Ability to operate effectively in a team-oriented and collaborative environment.
Excellent communication skills and ability to interact with all levels of end users and technical resources
Creative thinking and motivated self-starter
Preferred Qualifications:
Experience with machine learning models.
Data and analytics/measurement experience in digital or mobile app environment preferred.
Experience in Digital Ads experience such as Video and Display Ad measurements will be huge plus.
Required Education :
Bachelor’s degree in Computer Science or Business Administration or similar is required.
Preferred Education :
Master’s degree in Computer Science or Business Administration or similar is preferred.
Aug 30, 2019
Full-time
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, Audience Segmentation for Linear to Digital Ad Sales, and Analytics. The Technical Manager and his team will work within the Data Platform and will be charged with delivering actionable data insights from Disney’s large and diverse set of first and third party data sources. This data will come from every aspect of the user journey and product experience - user on-boarding, registration, personalization, ad-sales. Data models will be both implicit and explicit. The primary objective will be to apply modern big data techniques to discover patterns in user behavior that can be leveraged to drive three main metrics – user frequency, user engagement and revenue yield. Further, you will be tasked with building models to segment and cluster consumers based on vast amount of digital and broadcast content – marrying these models with user behavior patterning to deliver personalized, unique experiences to each Disney consumers. You will work closely with Product Managers, Designers, Audience Development and Content Development to identify areas of opportunity. You’ll work with the entirety of DTCI to build infrastructure and systems that support scalable self-serve analytical platform across the enterprise. You’ll evangelize the work product of the data function within the company – both upward to executive management and across the organization to peer and constituent groups. You’ll be an excellent communicator, communicating insight, progress and plans to all levels of the company. You will be responsible for creating and approving artifacts designed to document models, requirements, and results. You’ll bring your knowledge of standard data analytic methods including, but not limited to statistical modelling and SQL based analysis, and more extensive analysis using Spark, R and Python or similar tools. Furthermore, you will be skilled subject matter expert in defining customer engagement metrics, revenue yield, life time value (LTV) across the enterprise. Responsibilities :
Hire and mentor Data Analysts in the team to build consumer data analytics solution across DTCI
Stake holder interviews to build self-serve analytical framework – requirements may include consumer engagement as well as digital ad engagements across all products.
Selecting methods for performing advanced data analysis.
Extensive big data analysis and come up with logic to build analytical dimensions and metrics using Hive, Spark QL or Scripting Languages such as Python.
Document logic in order to help engineering team to implement them.
Build statistical models using tools specified above.
Clearly communicate design & development strategies to all stake holders, educate them as and when needed.
Establishes, supports and maintains standards of the analytics and data analytics process.
Work with engineering team to build infrastructure designed to facilitate the construction of models and the exposure of those models to end users throughout the company.
Work with engineering team to automate daily monitoring of models in production, help troubleshoot issues and make necessary improvements as needed.
Performing ad hoc analysis, interpreting and communicating results in a clear manner
Processing, cleansing and verifying the integrity of data used for analysis
Evangelize the work product of the data science function within the company - both upward to executive management and across to peers and constituent groups.
Coordinate and execute experiments and create frameworks to support those experiments designed to inform both the strategic and tactical initiatives of the Product team.
Assist in the preparation of presentations and formal analysis in support of executive decision making and strategy development.
Basic Qualifications :
First-hand experience – Have 8+ years of professional experience as a Data Analyst mining large scale data and transform data points to knowledge.
Data ninja – Must be hands-on on data analysis tools and frameworks such as SQL, Hive, Spark QL or Python to analyze any amount of data to both solve business requirements and feed in to engineering team to build data transformations.
Visionary - Solid understanding of big data and how an organization will be able build data driven products.
Have a data toolbox – Familiar with technologies relevant to the data such as Hadoop, OLAP databases and visualization tools such as Tableau or Looker or similar.
Hunger to Learn & Teach – Genuine interest to do conduct data mining and share the finding with internal team as well as business users.
Problem solver – Enjoy solving complex business problem using deep data analysis.
Team player – Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team
Minimum 2 years of management experience
Expert knowledge of a common big data tools such as SQL, Hive, Hadoop
Expert level knowledge in at least one programming language such as python, R, Scala, Java.
Experience in working with large datasets (Terabytes or more)
Ability to operate effectively in a team-oriented and collaborative environment.
Excellent communication skills and ability to interact with all levels of end users and technical resources
Creative thinking and motivated self-starter
Preferred Qualifications:
Experience with machine learning models.
Data and analytics/measurement experience in digital or mobile app environment preferred.
Experience in Digital Ads experience such as Video and Display Ad measurements will be huge plus.
Required Education :
Bachelor’s degree in Computer Science or Business Administration or similar is required.
Preferred Education :
Master’s degree in Computer Science or Business Administration or similar is preferred.
The Experience Insights team seeks to tell the story of our Guests' holistic vacation experiences and pioneer new tactics to enhance vacations through data integration, data science, statistical modeling/analysis, and delivery of innovative services. You will be responsible for building operations research and statistical models for various initiatives supporting the Guest experience. Responsibilities :
Make an impact by….
Performing data collection, data cleansing and validation, and reporting/analysis tasks
Integrating multiple data sets contributing to a '360-degree' view of the Guest
Supporting the analysis and validation of forecasting, predictive, and optimization models
Basic Qualifications :
What you bring to the role…
Proficient in optimized SQL, Teradata SQL
Experience with Python
Experience with Tableau
Ability to convert customer needs in to a completed solution, managing several projects simultaneously with strong organizational skills, partnering skills and attention to detail
Aptitude and willingness to learn new science, software, and analytics applications
Ability to write, create, and verbalize a strong presentation
Preferred Qualifications:
Experience with SAS
Required Education :
Majoring in Data Analytics, Data Science, or a related area
Cumulative GPA of 3.0 or higher (Note: Cumulative GPA stated on resume and application must match cumulative GPA of current institution’s transcript. Please, no rounding.)
Additional Information :
Internship Eligibility:
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program. Note: Once you have completed one consecutive year of employment on a Disney internship or program, there must be a minimum 6 month gap before the start of a new internship or program
Must possess unrestricted work authorization
Must provide full work availability
Must provide own transportation to/from work
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 Length: The approximate dates of this internship are January to June 2020. Interns must be fully available for the duration of the internship. Housing: A limited amount of company-sponsored housing is available on a first-come, first-served basis. Recommendation – Print This Role Description: Strong candidates may be invited to complete a phone interview. We strongly encourage applicants to print a copy of this role description so they can refer to it in the event they are selected for a phone interview. Materials Required:
College transcripts (official or unofficial) - Please upload your transcript while completing the online application
To upload this document:
Log into your dashboard at the website: DisneyInterns.com
Click the View Your Dashboard and select Profile
Click the Add Files
Be sure your document is in the required title format: FirstName_LastName_Type (i.e. Mickey_Mouse_Transcript)
Select document type of “Transcript"
DisneyData
Aug 20, 2019
Internship
The Experience Insights team seeks to tell the story of our Guests' holistic vacation experiences and pioneer new tactics to enhance vacations through data integration, data science, statistical modeling/analysis, and delivery of innovative services. You will be responsible for building operations research and statistical models for various initiatives supporting the Guest experience. Responsibilities :
Make an impact by….
Performing data collection, data cleansing and validation, and reporting/analysis tasks
Integrating multiple data sets contributing to a '360-degree' view of the Guest
Supporting the analysis and validation of forecasting, predictive, and optimization models
Basic Qualifications :
What you bring to the role…
Proficient in optimized SQL, Teradata SQL
Experience with Python
Experience with Tableau
Ability to convert customer needs in to a completed solution, managing several projects simultaneously with strong organizational skills, partnering skills and attention to detail
Aptitude and willingness to learn new science, software, and analytics applications
Ability to write, create, and verbalize a strong presentation
Preferred Qualifications:
Experience with SAS
Required Education :
Majoring in Data Analytics, Data Science, or a related area
Cumulative GPA of 3.0 or higher (Note: Cumulative GPA stated on resume and application must match cumulative GPA of current institution’s transcript. Please, no rounding.)
Additional Information :
Internship Eligibility:
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program. Note: Once you have completed one consecutive year of employment on a Disney internship or program, there must be a minimum 6 month gap before the start of a new internship or program
Must possess unrestricted work authorization
Must provide full work availability
Must provide own transportation to/from work
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 Length: The approximate dates of this internship are January to June 2020. Interns must be fully available for the duration of the internship. Housing: A limited amount of company-sponsored housing is available on a first-come, first-served basis. Recommendation – Print This Role Description: Strong candidates may be invited to complete a phone interview. We strongly encourage applicants to print a copy of this role description so they can refer to it in the event they are selected for a phone interview. Materials Required:
College transcripts (official or unofficial) - Please upload your transcript while completing the online application
To upload this document:
Log into your dashboard at the website: DisneyInterns.com
Click the View Your Dashboard and select Profile
Click the Add Files
Be sure your document is in the required title format: FirstName_LastName_Type (i.e. Mickey_Mouse_Transcript)
Select document type of “Transcript"
DisneyData
Data Analytics Internship, Spring 2020 – Burbank, CA The Disney Decision Science and Integration (DDSI) team supports clients across The Walt Disney Company, including Disney Parks, Experiences and Consumer Products, Disney Cruise Line, Media Networks (i.e. ABC, ESPN), Studio Entertainment, Disney Theatrical Group (e.g., Broadway shows), and Disney Interactive Media in the core competencies of yield management, revenue planning, forecasting, pricing and optimization. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research and Operations. Roles within DDSI develop, analyze, and execute strategies to maximize profitability and improve the value proposition for our Guests, Cast Members, and Shareholders. We Are… The Data Analytics consulting team leverages technology, data analytics, optimization, and statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. Candidates should have a natural curiosity to understand the "why" behind business performance, take a proactive role in problem-solving, be results-oriented, be able to prioritize, and be a team player in a collaborative environment. Responsibilities :
Make an Impact by... supporting marketing, distribution, finance, and supply chain projects that create a strong return on Company investments. The interns help in this process by:
Gathering, validating, and maintaining data in SAS, R or Python
Generating periodic and ad hoc forecasts, while maintaining results
Applying analytics to address marketing, distribution, and finance business questions
Developing analytical solutions for cross-segment clients
Maintaining technical system documentation
Performing industry research and benchmark analysis
Preparing client deliverables
Basic Qualifications :
What You Bring to the Role...
Strategic problem solving & analytical skills
Proven proficiency with SQL, Python, R, or SAS to perform data manipulation and modeling
Basic understanding of Tableau
Statistics or Econometrics background
Experience collecting & analyzing data and reporting on the results
Excellent oral/written communication skills to technical and non-technical audiences
Intense attention to detail
Ability to adapt in a rapidly changing business environment and manage multiple competing priorities
Proficiency in Microsoft Excel
Ability to work well independently, but also in a team environment
Preferred Qualifications:
Demonstrated experience with Tableau or similar data visualization tools
Previous work experience in Statistics
Required Education :
Senior or higher working towards (or recently graduated with) a degree in Statistics, Mathematics, Computer Science, Engineering or a related quantitative field
GPA of 3.0 or higher
Preferred Education :
Currently pursuing (or recently graduated with) a Master's degree in Analytics, Statistics, Mathematics, Economics, Operation Research, or a related quantitative field
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. Must be able to work 40 hours a week, Monday through Friday.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program .
Housing: Interns must provide their own housing for the duration of their internship program.
Aug 20, 2019
Internship
Data Analytics Internship, Spring 2020 – Burbank, CA The Disney Decision Science and Integration (DDSI) team supports clients across The Walt Disney Company, including Disney Parks, Experiences and Consumer Products, Disney Cruise Line, Media Networks (i.e. ABC, ESPN), Studio Entertainment, Disney Theatrical Group (e.g., Broadway shows), and Disney Interactive Media in the core competencies of yield management, revenue planning, forecasting, pricing and optimization. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research and Operations. Roles within DDSI develop, analyze, and execute strategies to maximize profitability and improve the value proposition for our Guests, Cast Members, and Shareholders. We Are… The Data Analytics consulting team leverages technology, data analytics, optimization, and statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. Candidates should have a natural curiosity to understand the "why" behind business performance, take a proactive role in problem-solving, be results-oriented, be able to prioritize, and be a team player in a collaborative environment. Responsibilities :
Make an Impact by... supporting marketing, distribution, finance, and supply chain projects that create a strong return on Company investments. The interns help in this process by:
Gathering, validating, and maintaining data in SAS, R or Python
Generating periodic and ad hoc forecasts, while maintaining results
Applying analytics to address marketing, distribution, and finance business questions
Developing analytical solutions for cross-segment clients
Maintaining technical system documentation
Performing industry research and benchmark analysis
Preparing client deliverables
Basic Qualifications :
What You Bring to the Role...
Strategic problem solving & analytical skills
Proven proficiency with SQL, Python, R, or SAS to perform data manipulation and modeling
Basic understanding of Tableau
Statistics or Econometrics background
Experience collecting & analyzing data and reporting on the results
Excellent oral/written communication skills to technical and non-technical audiences
Intense attention to detail
Ability to adapt in a rapidly changing business environment and manage multiple competing priorities
Proficiency in Microsoft Excel
Ability to work well independently, but also in a team environment
Preferred Qualifications:
Demonstrated experience with Tableau or similar data visualization tools
Previous work experience in Statistics
Required Education :
Senior or higher working towards (or recently graduated with) a degree in Statistics, Mathematics, Computer Science, Engineering or a related quantitative field
GPA of 3.0 or higher
Preferred Education :
Currently pursuing (or recently graduated with) a Master's degree in Analytics, Statistics, Mathematics, Economics, Operation Research, or a related quantitative field
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. Must be able to work 40 hours a week, Monday through Friday.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program .
Housing: Interns must provide their own housing for the duration of their internship program.
Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you.
Responsibilities :
Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions
Design and build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably
Integrate with a variety of data metric providers ranging from advertising, web analytics, and consumer devices
Build and maintain dimensional data warehouses in support of business intelligence tools
Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
Drive and maintain a culture of quality, innovation and experimentation
Coach data engineers best practices and technical concepts of building large scale data platforms
Basic Qualifications :
3-5 years of experience developing in object oriented Python
Experience deploying and running AWS-based data solutions and familiar with tools such as Cloud Formation, IAM, Athena, and Kinesis
Experience engineering big-data solutions using technologies like EMR, S3, Spark and an in-depth understanding of data partitioning and sharding techniques
Familiar with metadata management, data lineage, and principles of data governance
Experience loading and querying cloud-hosted databases such as Redshift and Snowflake
Building streaming data pipelines using Kafka, Spark, or Flink
Preferred Qualifications:
Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift
Experience deploying data notebook and analytic environments such as Jupyter and Databricks
Knowledge of the Python data ecosystem using pandas and numpy
Experience building and deploying ML pipelines: training models, feature development, regression testing
Experience with graph-based data workflows using Apache Airflow
Required Education :
Bachelor’s degree in Computer Science or related field or equivalent work experience
Aug 18, 2019
Full-time
Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you.
Responsibilities :
Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions
Design and build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably
Integrate with a variety of data metric providers ranging from advertising, web analytics, and consumer devices
Build and maintain dimensional data warehouses in support of business intelligence tools
Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
Drive and maintain a culture of quality, innovation and experimentation
Coach data engineers best practices and technical concepts of building large scale data platforms
Basic Qualifications :
3-5 years of experience developing in object oriented Python
Experience deploying and running AWS-based data solutions and familiar with tools such as Cloud Formation, IAM, Athena, and Kinesis
Experience engineering big-data solutions using technologies like EMR, S3, Spark and an in-depth understanding of data partitioning and sharding techniques
Familiar with metadata management, data lineage, and principles of data governance
Experience loading and querying cloud-hosted databases such as Redshift and Snowflake
Building streaming data pipelines using Kafka, Spark, or Flink
Preferred Qualifications:
Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift
Experience deploying data notebook and analytic environments such as Jupyter and Databricks
Knowledge of the Python data ecosystem using pandas and numpy
Experience building and deploying ML pipelines: training models, feature development, regression testing
Experience with graph-based data workflows using Apache Airflow
Required Education :
Bachelor’s degree in Computer Science or related field or equivalent work experience
Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you.
Responsibilities :
Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions
Build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably
Integrate with a variety of data providers ranging from marketing, web analytics, and consumer devices metrics
Build and maintain dimensional data warehouses in support of business intelligence tools
Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
Drive and maintain a culture of quality, innovation and experimentation
Basic Qualifications :
2-3 years of experience developing in object oriented Python
Familiar with big-data solutions using technologies like EMR, S3, Spark
Loading and querying cloud-hosted databases such as Redshift and Snowflake
Building data pipelines using Kinesis, Kafka, Spark, or Flink
Preferred Qualifications:
Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift
Experience deploying and using data notebook and analytic environments such as Jupyter and Databricks
Knowledge of the Python data ecosystem using pandas and numpy
Experience with graph-based data workflows using Apache Airflow
Required Education :
Bachelor’s degree in Computer Science or related field or equivalent work experience
Aug 18, 2019
Full-time
Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you.
Responsibilities :
Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions
Build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably
Integrate with a variety of data providers ranging from marketing, web analytics, and consumer devices metrics
Build and maintain dimensional data warehouses in support of business intelligence tools
Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
Drive and maintain a culture of quality, innovation and experimentation
Basic Qualifications :
2-3 years of experience developing in object oriented Python
Familiar with big-data solutions using technologies like EMR, S3, Spark
Loading and querying cloud-hosted databases such as Redshift and Snowflake
Building data pipelines using Kinesis, Kafka, Spark, or Flink
Preferred Qualifications:
Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift
Experience deploying and using data notebook and analytic environments such as Jupyter and Databricks
Knowledge of the Python data ecosystem using pandas and numpy
Experience with graph-based data workflows using Apache Airflow
Required Education :
Bachelor’s degree in Computer Science or related field or equivalent work experience
