Lead Data Analyst, UX Analytics

Disney Entertainment and ESPN Product & Technology; Santa Monica (CA); On-site; USD 142,000 - 190,000; Full time

Benefits offered by this job

Bonus potential

Job summary

Disney Entertainment and ESPN Product & Technology seeks a Lead Data Analyst for the User Experience Analytics team. You will own end-to-end experiment analyses for navigation, discovery, and feature surfaces, defining metrics, running tests, and delivering actionable recommendations to PMs and senior leaders.

The role emphasizes behavioral analysis, dashboards in Looker/Tableau, and clear communication across product and engineering teams.

Qualifications

• Bachelor's degree in a related field.
• 7+ years of data analytics with impact on decisions.
• Deep experimentation experience: design, power analysis, metrics, local/global insights.
• Strong data modeling and metric development instincts.
• Advanced SQL for behavioral data at scale; Python for scripting.
• Looker (LookML) skills; Tableau familiarity for dashboards.
• Excellent communication and presentation to stakeholders.

Responsibilities

• Own experiment analysis end-to-end; lead A/B tests from design to recommendation.
• Develop and own metrics; define success criteria before experiments.
• Drive behavioral analysis: how users engage and return to content.
• Present findings to PMs and higher-level stakeholders (VP/SVP).
• Build and maintain dashboards for ongoing monitoring.

Skills

Experimentation

SQL

Python

Looker/LookML

Tableau

Communication

Dashboarding

Behavioral analysis

Education

Bachelor's Degree in a related field

Tools

SQL

Looker

Tableau

Job description

Summary

Disney Entertainment and ESPN Product & Technology is seeking a Lead Data Analyst for the User Experience Analytics team. The team focuses on understanding how users navigate and engage with Disney’s streaming products and whether the feature changes we make deliver the intended results.

The work is primarily experimentation and analysis. When Disney rolls out a new navigation bar, introduces autoplay video in the browse experience, or launches short-form video on mobile, this team defines the metrics, designs the measurement approach, runs the experiments, analyzes the results, and delivers a clear recommendation. Findings inform decisions at every level of the product org: some analyses redirect a feature in development, others validate or quantify the risk of a direction already in motion. Many of our projects are high-priority and high-visibility, with outputs regularly presented to PM stakeholders as well as VP and SVP audiences.

The Lead Analyst owns the most complex work on the team end-to-end: the framing, the approach, the read, and the recommendation.

What You’ll Do

• Own experiment analysis end-to-end. 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 metrics. Define what success looks like for a product surface before an experiment runs. The frameworks you build are what the team and its stakeholders align on.
• Drive behavioral analysis. Answer how users find, engage with, and return to content.
• Communicate across levels. Present findings to PMs and prepare readouts for VP and SVP audiences on high-priority projects.
• Build and maintain dashboards. Provide continuous monitoring for key product surfaces.

What to Bring

• Bachelor?s Degree in a related field
• 7 years in data analytics, with a 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 what the failure modes are 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
• Building visual dashboards using Looker (LookML); familiarity with Tableau
• Exceptional communication and presentation skills, with experience delivering insights to stakeholders at all levels

Nice-to-Haves

• Streaming or subscription product background
• Causal inference methods beyond standard A/B (diff-in-diff, synthetic control)
• Advanced degree in a quantitative field

TECHATDISNEY

The hiring range for this position in Santa Monica, CA is $141,900 – $190,300 per year and in San Francisco, CA is $155,400 – $208,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate?s geographic region, job-related knowledge, skills, and experience among other factors. 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.