Senior Data Analyst

The Walt Disney Company

. Drive personalization strategy for Disney+ and Hulu by transforming raw data into insights and strategic recommendations .

Posted 10/6/2026full-timeUnited StatesSenior💰 $123,000 - $172,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in data analytics, statistical modeling, and experimentation, with a strong focus on personalization strategies for streaming platforms. Proficient in SQL and Python for data manipulation and analysis, complemented by experience in data visualization and project management.

Highest-signal resume keywords

Data AnalyticsSQL ProficiencyPython ProgrammingA/B TestingStatistical Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical PowerHypothesis TestingRegression AnalysisComplex Query CreationData VisualizationExperimentation DesignCausal InferenceData InstrumentationData Quality Improvement

Soft Skills

Strategic ThinkingCommunication SkillsPresentation SkillsProject ManagementCollaboration

Tools & Technologies

LookerTableauSnowflakeDatabricksAI Analytics ToolsClaudeCursorGemini

Industry Keywords

Personalization StrategyStreaming MediaSubscription-Based ProductsUser Behavior AnalysisProduct Analytics

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Drive personalization strategy for Disney+ and Hulu by transforming raw data into insights and strategic recommendations
Partner with personalization product teams, business leadership, and machine learning experts to evaluate recommendation system performance
Design approaches to measure success, test hypotheses, extract actionable insights, and develop algorithm recommendations
Lead the design, analysis, and interpretation of personalization experiments
Conduct power analysis and contribute code to advanced experimentation libraries
Perform post-analysis of complex questions using SQL and Python
Collaborate with data engineers and product management to address data consistency and quality challenges
Improve foundational datasets and instrument new product features end-to-end
Lead partners from data product and data engineering
Analyze platform performance, identify actionable insights, and present findings using data visualization tools and live presentations
Apply statistical modeling, experimentation, and causal inference to user behavioral data
Use AI analytics tools including Claude, Cursor, Snowflake Cortex, and Gemini
Inform personalization strategy for Disney Streaming

Requirements

What you’ll need

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 of experience with A/B testing, including power analysis, 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, including hypothesis testing, statistical power, confidence intervals, regression analysis, and Type I/II error
Ability to think strategically and interpret market and consumer information contextually
Strong written and verbal communication and 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 meaningful impact
Preferred: Master’s degree in a related field
Preferred: Experience with product analytics, user funnels, and user behaviors
Preferred: Hands-on experience with advanced statistical methods such as causal inference
Preferred: Background in streaming media or subscription-based products
Preferred: Experience building agentic analytics tools
Preferred: Advanced knowledge of Looker
Preferred: Ability to manage projects requiring new datasets and collaborate with data engineering teams to improve data quality and build foundational datasets

Benefits

Comp & perks

Bonus and/or long-term incentive units may be provided as part of the compensation package
Medical, financial, and/or other benefits
Primarily on-site / occasionally from home work arrangement