Join a newly created team dedicated to the Disney+ Subscriber Perks program, where you'll transform complex data into strategic business decisions that shape the future of our perks program.
Collaborating closely with cross-functional partners in Commerce, Product, Marketing, and Engineering, you'll architect and execute sophisticated experiments that optimize every aspect of our perks program—from initial acquisition through long-term engagement with subscriber perks.
As part of Disney's rapidly evolving streaming ecosystem, you'll tackle complex business challenges that directly impact millions of subscribers across Disney+, Hulu, and ESPN+.
Your insights will shape product roadmaps, user experience optimizations, and partnership decisions that drive measurable business growth.
Lead end-to-end A/B testing initiatives and Geo Experiments, from hypothesis formation and experimental design to statistical analysis and business recommendations.
Leverage advanced techniques including difference-in-differences, instrumental variables, and quasi-experimental designs to extract actionable insights from observational data.
Partner with Product, Marketing, Partnerships, and Finance teams to identify optimization opportunities and translate complex analytical findings into clear business recommendations.
Present findings and recommendations to senior leadership, effectively communicating statistical concepts to non-technical stakeholders.
Develop automated experimentation pipelines, causal inference framework, and user-facing tools that can scale across marketing platforms.

Requirements

3+ years of relevant experience
Strong programming skills in R, Python, or similar languages
Expertise in using SQL to explore and analyze large data sets
Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow
Experience with data visualization tools (e.g. Tableau, Power BI, Looker, Plotly, etc.)
Demonstrate strong strategic and analytical thinking, with the ability to interpret market and consumer data, translate complex analyses into clear, actionable insights, and effectively communicate opportunities and challenges to diverse stakeholders
Familiarity with experimentation design and analysis
Proven ability to manage end-to-end causal inference analyses, from initial requirements to impactful outcomes
Practical experience and expertise in applied statistics and data science methodologies (general advanced data modeling and predictive analytics e.g., multivariate regression analysis, machine learning, deep learning, forecasting, Bayesian estimation, causal inference)
Strong ability to build relationships with teammates, business partners, and technical colleagues.

Benefits

A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

RPythonSQLA/B testingdifference-in-differencesinstrumental variablesquasi-experimental designsdata modelingpredictive analyticsapplied statistics

Soft Skills

strategic thinkinganalytical thinkingcommunicationrelationship buildingcollaborationpresentation skillsproblem-solvinginterpretation of datatranslating analysesstakeholder engagement