Job Posting Title:

Hulu Analytics Experimentation Intern, Summer 2025

Req ID:

10108693

Job Description:

About the Role & Program:

The Product & Tech Analytics team is seeking an intern to join the Analytics Experimentation Center of Excellence (COE). This role offers hands-on experience collaborating with key teams across the business—Data Science, Data Engineering, Product, Programming, and more. The intern will support two main projects:

1. Experiment Knowledge Base Development: Curating a comprehensive knowledge base of experimentation domains, covering product surface areas, key stakeholders, relevant metrics, analyses, and queries.

2. Program Impact Measurement: Developing an analytical summary of COE success by implementing a measurement framework that guides program development and evaluates key outcomes.

As part of the COE, the intern will gain valuable skills in analytics, project management, executive communication, and streaming analytics business strategy.

What You Will Do:

On any given day you might:

Support analysis and provide recommendations by compiling experiment results into a centralized knowledge baseContribute to program-wide initiatives and experiment result read-outsDesign and implement a measurement framework to track program success and guide improvementsTrack and report program metrics, including time-to-completion, ticket closures, and effort distributionCollaborate with product stakeholders to optimize the Disney+ and Hulu streaming experiences

Required Qualifications & Skills:

Please apply if you have:

Experience using SQL, Python, or R for complex queries, data analysis, and performance optimizationStrong curiosity, analytical mindset, and passion for data-driven insights and business impactSolid understanding of statistical methods, including hypothesis testing, type I & II errors, power analysis, t-tests, chi-square tests, regression analysis, Bayesian methods, and central limit theorem conceptsAbility to foster strong working relationships with cross-functional teams

Preferred Qualifications & Skills:

It would also be great if you have/are familiar with:

Experience with Python (e.g., pandas, numpy, scikit-learn) or analogous R libraries for computation and data visualizationAbility to identify potential issues and effectively escalate to leadershipStrong self-motivation and ability to work independentlyExcellent written and verbal communication skills, with an ability to translate complex findings into actionable insights for stakeholders.

Education:

Junior or Senior year preferredCurrently pursuing a bachelor’s with a major in Computer Science, Mathematics, Engineering, Statistics or a related major

Eligibility Requirements & Program Information:

Be enrolled in an accredited college/university pursuing a degree taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program AND returning to school the semester/quarter following the internship OR currently participating in a Disney College Program or Disney Internship.Be at least 18 years of agePossess unrestricted work authorization

Additional Information:

· Fully available from Monday through Friday, for the duration of the internship, 40 hours each week· Provide full availability for the entire program duration: May/June - August/September 2025 (12 weeks)· Able to provide own housing for the duration internship program in the Santa Monica, CA· Able to provide/have reliable transportation to/from work· Have not completed one year of continual employment on a Disney internship or Disney College ProgramThe pay rate for this role in Santa Monica, CA is $30.00 per hour. Select benefits may be provided as part of the compensation package, such as medical, financial, and/or other benefits, dependent on the level and position offered. To learn more about our benefits visit: https://jobs.disneycareers.com/benefits.

Job Posting Segment:

Direct to Consumer

Job Posting Primary Business:

DTC Analytics and Data Science

Primary Job Posting Category:

Technology Intern

Employment Type:

Part time

Primary City, State, Region, Postal Code:

Santa Monica, CA, USA

Alternate City, State, Region, Postal Code:

Date Posted:

2025-01-08