Lead Data Analyst, UX Analytics

The Walt Disney Company

. Own experiment analysis end-to-end, including A/B tests on navigation, discovery, and feature surfaces .

Posted 10/6/2026full-timeSanta Monica • California • United StatesSenior💰 $141,900 - $208,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics with a focus on A/B testing, metric development, and advanced SQL for behavioral analysis. Proficient in building visual dashboards and effectively communicating insights to stakeholders at all levels.

Highest-signal resume keywords

Data AnalyticsA/B TestingAdvanced SQLPython ProficiencyDashboard Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisExperiment DesignPower AnalysisMetric DevelopmentCohort AnalysisPathingFunnel AnalysisTest DesignLocal vs. Global MetricsText Manipulation

Soft Skills

Exceptional CommunicationPresentation Skills

Tools & Technologies

SQLPythonLookerLookMLTableau

Industry Keywords

Product Success MetricsUser Engagement AnalysisStreaming ProductsAnalytical Problem Framing

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Own experiment analysis end-to-end, including A/B tests on navigation, discovery, and feature surfaces
Select metrics, design tests, conduct power analysis, analyze results, and make final recommendations
Develop and own product success metrics and measurement frameworks
Analyze how users find, engage with, and return to content
Present findings to PMs and prepare readouts for VP and SVP audiences
Build and maintain dashboards for continuous monitoring of key product surfaces
Frame complex analytical problems, determine the approach, interpret results, and deliver recommendations
Inform product decisions for Disney streaming products and features

Requirements

What you’ll need

Bachelor’s Degree in a related field
7+ years in data analytics
Track record of work that influenced a decision, not just informed a deck
Deep experimentation experience: test design, power analysis, metric selection, and reading results correctly, including local vs. global metrics
Strong metric development instincts: defining what to measure, why, and failure modes before data collection starts
Advanced SQL for behavioral data at scale: pathing, funnels, cohort analysis
Proficiency in Python for scripting, text manipulation, and analytical tasks that SQL cannot handle
SQL is the primary tool for analysis
Experience building visual dashboards using Looker (LookML)
Familiarity with Tableau
Exceptional communication and presentation skills, with experience delivering insights to stakeholders at all levels

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