Sr Data Analyst (AI)

Location: New York City, NY; Santa Monica, CA; or San Francisco, CA

Salary: $123,000–$165,000 per year in New York City; $117,500–$157,500 per year in Santa Monica; or $128,700–$172,500 per year in San Francisco. Bonus and/or long-term incentive units may also be provided.

Company

hirify.global is part of Disney Entertainment and ESPN Product & Technology, supporting personalization for Disney+ and Hulu.

What you will do

• Lead the design, analysis, and interpretation of personalization experiments, including power analysis, metric selection, test design, and post-analysis.
• Write complex SQL and Python analyses on large datasets and contribute code to experimentation libraries.
• Partner with data engineering and product management to improve data consistency, quality, instrumentation, and foundational datasets.
• Analyze recommendation-system and platform performance using statistical modeling, experimentation, and causal inference.
• Present data visualizations, insights, and strategic recommendations to cross-functional stakeholders and business leadership.
• Use AI analytics tools such as Claude, Cursor, Snowflake Cortex, and Gemini to accelerate analytics engineering and answer stakeholder questions.

Requirements

• Bachelor’s degree in statistics, economics, mathematics, computer science, data analytics, or a related field.
• 5+ years of data analytics experience, including 2+ years at a senior level.
• 3+ years of experience with complex SQL and Python analysis on large datasets using Snowflake, Databricks, or a similar data warehouse.
• 3+ years of experience with data exploration, visualization, and instrumentation in Looker or an equivalent tool such as Tableau.
• 3+ years of experience with A/B testing, statistical power, experimentation libraries, metric selection, test design, and complex result interpretation.
• Strong knowledge of statistics, strategic analysis, communication, stakeholder presentation, and end-to-end analytical project management.

Nice to have

• Master’s degree in a quantitative or computer science discipline.
• Product analytics experience focused on user funnels and behaviors.
• Hands-on experience with causal inference and advanced statistical methods.
• Experience with streaming media, subscription products, agentic analytics tools, or advanced Looker.
• Experience building new datasets and improving data quality with data engineering teams.

Culture & Benefits

• Work with personalization product teams, business leadership, and machine learning experts.
• Join an AI-first analytics team that experiments with emerging tools and workflows.
• Medical, financial, and other benefits are included based on the level and position offered.
• Bonus and/or long-term incentive units may be included in the compensation package.