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About the Role & Program

The Disney Decision Science and Integration (DDSI) team supports clients across The Walt Disney Company, including Disney Parks, Experiences and 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 proficiencies 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 implement strategies to enhance profitability and improve the value proposition for our Guests, Cast Members, and Shareholders.

The Data Analytics consulting team uses technology, data analytics, optimization, 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, and be able to prioritize and be teammates in a collaborative environment.

This internship will be located in Burbank, CA. 

What You Will Do

Graduate Associates make an impact by supporting marketing, distribution, finance, and supply chain projects that build a strong return on Company investments. As a Graduate Associate, you will help in this process by:

• Collecting, validating, and maintaining data in R, Python, and SQL

• Generating periodic and ad hoc forecasts, while maintaining results

• Applying analytics to address marketing and finance business questions

• Developing analytical solutions for cross-segment clients

• Maintaining technical system documentation

• Performing industry research and benchmark analysis

• Preparing client deliverables

• Implementing visualization tools, developing dashboards, and reporting

• Performing exploratory and quantitative analysis of demand & sales data

Required Qualifications & Skills

• Strategic problem-solving & analytical skills

• Meticulous attention to detail

• Proven experience with Tableau

• Confirmed proficiency with SQL, Python, and R to perform data manipulation or modeling

• Statistics or Econometrics background

• Experience collecting & analyzing data and reporting on the results

• Excellent oral/written communication skills to technical and non-technical audiences

• Ability to adapt to an evolving business environment and balance multiple opposing priorities

• Proficiency in Microsoft Excel

• Ability to work well independently and in a team environment

Preferred Qualifications & Skills

• Experience using R Shiny, DBeaver, Databricks, or GitHub/GitLab

• Knowledge of forecasting methods and techniques

• Previous work experience in statistics, and statistical analysis, including hypothesis formulation, experimental design, significance-setting, and post-experiment analysis

• Experience in retail, eCommerce, consumer products, merchandising, marketing, entertainment, or finance

Education

Currently enrolled as a graduate level student, pursuing a graduate degree in Analytics, Computer Science, Statistics, Mathematics, Economics, Operations Research, Industrial Engineering, or a related quantitative field

Eligibility Requirements & Program Information

Candidates for this opportunity MUST meet all the requirements below:

• 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 currently participating in a Disney College Program or Disney Internship

• Current Disney Interns, College, International, or Culinary Program Participants: You may only work for ONE consecutive year (12 months) in any combination of an internship and/or program.

• Be at least 18 years of age

• Possess unrestricted work authorization

Additional Information

• The approximate dates of this position are May/June 2026 through August/September 2026

• Able to provide/have reliable transportation to/from work

• Fully available from Monday-Friday for the duration of the position, 40 hours per week

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