Sr Data Analyst

5014 Disney Entertainment & Sports LLC; New York (NY); On-site; USD 123,000 - 165,000; Full time

Benefits offered by this job

Bonus incentives

Medical benefits

Job summary

Disney Entertainment & Sports LLC is seeking a Sr Data Analyst in New York, NY. The role leads A/B testing, shapes analytics foundations with data engineers, and performs deep-dive analyses on platform performance.

You will present actionable insights and contribute to AI-enabled analytics within an AI-first team. Requirements include a Bachelor’s in a quantitative field, 5+ years in data analytics with senior experience, and strong SQL/Python, Looker/Tableau skills.

Qualifications

• Bachelor’s degree in Statistics, Economics, Mathematics, CS, Data Analytics, or related field.
• 5+ years in data analytics, including 2+ years at a senior level.
• 3+ years crafting complex queries in SQL and Python over large datasets.
• 3+ years experience with Looker or equivalent data visualization tool.
• 3+ years experience with A/B testing including power analysis and experimentation libraries.
• Strong notebooking and scheduled job instrumentation in Python.
• Strong statistics foundation: hypothesis testing, power, CIs, regression, Type I/II.

Responsibilities

• Lead design, analysis, and interpretation of experiments across personalization.
• Collaborate with data engineers to ensure data quality and foundational datasets.
• Perform deep-dive analyses; present insights with data visualizations and live talks.
• Contribute to AI-enabled analytics using available tools and libraries.

Skills

A/B testing

Analytics

Statistical analysis

Communication

Project management

Strategic thinking

SQL

Python

Education

Bachelor's degree

Master's degree (preferred)

Tools

SQL

Python

Snowflake

Databricks

Looker

Tableau

Job description

Job Posting Title: Sr Data Analyst Req ID: 10157869

Core Responsibilities

• A/B Testing & Experimentation: 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 strong code to our advanced experimentation libraries, perform post-analysis on complex questions in SQL and Python, and provide expert clarity on results.
• Analytics Engineering & Reporting Foundations: Collaborate closely with data engineers and product management to tackle data consistency challenges, ensure the accuracy and quality of data required for analysis, and improve foundational datasets. Instrument new product features from the ground up - managing the project end-to-end - and ensure we have the right data built the right way, leading a group of partners from data product and data engineering.
• Deep-Dive Analysis: Help cross-functional stakeholders understand platform performance. Dig into metrics that are ahead or behind expectations, surface actionable insights, and present them effectively through data visualization tools and live presentations. Apply advanced techniques (statistical modeling, experimentation, causal inference) to user behavioral data to identify patterns and uncover opportunities. Don’t just describe what happened with data - help people see what it means and what they can do about it. Become a key voice for setting our strategy.
• AI Enablement: This is an AI-first analytics team that has a robust assortment of tools (Claude, Cursor, Snowflake Cortex, Gemini, and more) available to accelerate analytics engineering and answer stakeholder questions. We are constantly sandboxing and inventing, so we’re looking for somebody excited and curious to take advantage of our tools and be a cutting-edge innovator in AI for analytics.

Qualifications

• 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
• Proficiency and 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 up front, setting deadlines, and delivering strategic meaningful impact

Preferred Qualifications

• Master’s degree in Statistics, Economics, Mathematics, Computer Science, Data Analytics, or a related field
• Experience with product analytics, especially user funnels and user behaviors
• Hands-on experience with advanced statistical methods such as causal inference
• Background in streaming media or subscription-based products
• Experience building agentic analytics tools
• Advanced knowledge of Looker
• Proven ability to manage projects that require new datasets, collaborating with data engineering teams to improve data quality and build foundational datasets for scalable analysis

The hiring range for this position in New York City, NY is $123,000 - $165,000 per year, in Santa Monica, CA is $117,500 - $157,500 per year and in San Francisco, CA is $128,700 - $172,500 per year.

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.

Employment Type: Full time

Primary City, State, Region, Postal Code: New York, NY, USA

Alternate City, State, Region, Postal Code: USA - CA - 2450 Broadway, USA - CA - Market St