Lead Data Analyst, UX Analytics

The Walt Disney Company

. Understand how users navigate and engage with Disney’s streaming products .

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 user behavior analysis, A/B testing, and metric development. Proficient in SQL and Python for data manipulation and visualization, with strong communication skills for presenting findings to stakeholders.

Highest-signal resume keywords

Data AnalyticsA/B TestingSQLPythonMetric Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsA/B TestingMetric DevelopmentSQLPythonCohort AnalysisTest DesignPower AnalysisBehavioral Data AnalysisDashboard Development

Soft Skills

Exceptional CommunicationPresentation Skills

Tools & Technologies

LookerTableau

Industry Keywords

Streaming ProductsSubscription ProductsCausal Inference Methods

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Understand how users navigate and engage with Disney’s streaming products
Evaluate whether feature changes deliver intended results
Define metrics and design measurement approaches for product experiments
Lead A/B tests on navigation, discovery, and feature surfaces from metric selection and test design through power analysis and final recommendation
Develop and own success metrics and measurement frameworks
Analyze user behavior, including how users find, engage with, and return to content
Present findings to PM stakeholders and prepare readouts for VP and SVP audiences
Build and maintain dashboards for continuous monitoring of key product surfaces
Own complex analytics work end-to-end, from framing and approach through analysis and recommendation

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
Deep experimentation experience: test design, power analysis, metric selection, and reading results correctly, including local vs. global metrics
Strong metric development skills, including defining what to measure, why, and failure modes before data collection
Advanced SQL for behavioral data at scale, including pathing, funnels, and cohort analysis
Proficiency in Python for scripting, text manipulation, and analytical tasks that SQL cannot handle
Building visual dashboards using Looker (LookML)
Familiarity with Tableau
Exceptional communication and presentation skills
Nice-to-have: streaming or subscription product background
Nice-to-have: causal inference methods beyond standard A/B, including diff-in-diff and synthetic control
Nice-to-have: advanced degree in a quantitative field

Benefits

Comp & perks

Bonus and/or long-term incentive units may be provided
Medical benefits
Financial benefits
Other benefits dependent on the level and position offered
Primarily on-site / occasionally from home work arrangement