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About the Role
The Product & Tech Analytics team is seeking a Sr. Data Analyst to drive personalization strategy on Disney+ and Hulu. This role involves transforming raw data into meaningful insights and strategic recommendations to guide key business decisions. The ideal candidate is a skilled coder and communicator adept at tackling complex problems and managing cross-functional projects.
Responsibilities
- Lead the design, analysis, and interpretation of experiments across personalization.
- Partner with stakeholders to ensure experiments are designed and interpreted correctly.
- Conduct power analysis, contribute code to advanced experimentation libraries, and perform post-analysis in SQL and Python.
- Collaborate with data engineers and product management to address data consistency challenges and improve foundational datasets.
- Instrument new product features from the ground up, managing projects end-to-end.
- Help cross-functional stakeholders understand platform performance by digging into metrics and surfacing actionable insights.
- Present findings effectively through data visualization tools and live presentations.
- Apply advanced techniques to user behavioral data to identify patterns and uncover opportunities.
- Utilize AI tools like Claude, Cursor, Snowflake Cortex, and Gemini to accelerate analytics engineering and innovation.
Requirements
- Bachelor’s degree in Statistics, Economics, Mathematics, Computer Science, Data Analytics, or a related field.
- 5+ years of experience in data analytics, including 2+ years at a senior level.
- 3+ years of applied experience creating complex queries and analysis on very large datasets in SQL and Python, leveraging Snowflake, Databricks, or a similar data warehouse.
- 3+ years of applied experience with data exploration, visualization, and instrumentation in Looker (or an equivalent tool like Tableau).
- 3+ years experience with A/B testing, including power analysis, use of experimentation code libraries, metric selection, test design, and interpreting complex results.
- Familiarity with notebooking and scheduled job instrumentation in Python.
- Strong understanding of statistics concepts (e.g., hypothesis testing, statistical power, confidence intervals, regression analysis, Type I/II error, etc.).
- Ability to think strategically and interpret market and consumer information contextually.
- Strong communication and interpersonal skills, including written and verbal presentation skills, with experience presenting to diverse audiences and managing strong personalities.
- Experience managing end-to-end analytical projects, including documenting requirements, setting deadlines, and delivering strategic impact.
Skills
- SQL
- Python
- Snowflake
- Databricks
- Looker
- Tableau
- A/B testing
- Power analysis
- Experimentation code libraries
- Metric selection
- Test design
- Data visualization
- Statistical modeling
- Causal inference
- Notebooking
- Scheduled job instrumentation
- Statistics concepts
- Communication skills
- Interpersonal skills
- Presentation skills
- Project management
Location
- New York, NY, USA
- USA - CA - 2450 Broadway
- USA - CA - Market St
Work Type
- Full time
Experience Level
- Senior level
Education Level
- Bachelor's degree
- Master's degree
Salary/Compensations
- $123,000 - $165,000 per year (New York City, NY)
- $117,500 - $157,500 per year (Santa Monica, CA)
- $128,700 - $172,500 per year (San Francisco, CA)
Benefits
- Bonus and/or long-term incentive units
- Full range of medical, financial, and/or other benefits
About the Company
- The Product & Tech Analytics team partners across the business to turn raw data into meaningful insights and strategic recommendations.
- We are an AI-first analytics team with a robust assortment of tools available to accelerate analytics engineering and answer stakeholder questions.
- We are constantly sandboxing and inventing, looking for individuals excited to be cutting-edge innovators in AI for analytics.
- Background in streaming media or subscription-based products is preferred.