Data Analyst

The Walt Disney Company is building a newly created team for the Disney+ Subscriber Perks program. The Data Analyst will turn complex data into strategic decisions by designing experiments and causal analyses that optimize acquisition through long-term subscriber engagement across Disney+, Hulu, and ESPN+.

• Lead end-to-end A/B tests and geo experiments, including hypothesis creation, experimental design, analysis, and recommendations.
• Apply causal inference methods (e.g., difference-in-differences, instrumental variables, quasi-experimental designs) to generate insights from observational data.
• Partner with Commerce, Product, Marketing, Partnerships, Finance, and Engineering to identify optimization opportunities and translate findings into business actions.
• Present results to senior leadership and communicate statistical concepts to non-technical stakeholders.
• Build scalable and automated experimentation pipelines, causal inference frameworks, and user-facing analytical tools that scale across marketing platforms.

• 3+ years of relevant experience.
• Strong programming skills in R, Python, or similar languages.
• Expertise in SQL for exploring and analyzing large datasets.
• Familiarity with data platforms/tools such as Databricks, Jupyter, Snowflake, Redshift, and Airflow.
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker, Plotly).
• Strong strategic and analytical thinking; ability to translate complex analyses into clear, actionable insights for diverse stakeholders.
• Familiarity with experimentation design and analysis.
• Proven ability to manage end-to-end causal inference analyses from requirements to outcomes.
• Practical experience with applied statistics and data science methods (e.g., regression, machine learning, deep learning, forecasting, Bayesian estimation, causal inference).
• Strong relationship-building and cross-functional collaboration skills.
• Bachelor’s degree in Data Analytics, Computer Science, Data Engineering, Mathematics, Statistics, or a related field.

Nice to have:

• Git/version control exposure.
• Streaming media and/or direct-to-consumer subscription product experience.
• Distributed databases and query languages (Spark, Scala).
• Streamlit or React web development experience.
• Experience using or building Gen AI solutions.
• Master’s degree in a quantitative field (e.g., Economics, CS, ML, Statistics, Mathematics, Engineering, Physics, or related).

• Compensation includes base salary plus potential bonus and/or long-term incentive units.
• Benefits may include medical, financial, and other benefits depending on level and position.
• Hiring ranges vary by geography (New York, NY and Santa Monica, CA ranges provided).