Senior Data Analyst, DTC Sports Analytics & Insights

Disney Entertainment and ESPN Product & Technology Careers; New York (NY); On-site; USD 125,000 - 167,000; Full time

Job summary

Disney Entertainment & Sports LLC in New York, NY is seeking a Senior Data Analyst to turn data into insights guiding ESPN's direct-to-consumer product strategy. You will own KPI layers, design data models, and build dashboards in Looker to drive business decisions.

You should bring 5+ years in analytics, strong SQL and Python skills, and experience with data warehousing, experimentation, and storytelling for leadership.

Qualifications

• Degree in analytics or equivalent practical experience.
• 5+ years analytics, product analytics or BI.
• Advanced SQL with complex queries.
• Python for data manipulation.
• Experience with data warehousing and dimensional modeling.
• Statistical judgment for baselines and seasonality.
• Experience with experimentation (A/B and multivariate).
• Experience with Looker, Tableau, or similar.
• Strong communication and storytelling.

Responsibilities

• Own and evolve ESPN app KPIs and definitions.
• Design and maintain pre-aggregated metric tables and pipelines.
• Build monitoring to identify real KPI movements.
• QA collaboration with product engineering.
• Create dashboards and self-serve Looker tooling.
• Conduct SQL and Python analyses on multivariate data.
• Partner on experimentation end-to-end.
• Reconcile metrics across teams and align definitions.
• Serve as thought partner for ESPN product teams.
• Communicate results to leadership.

Skills

Advanced SQL

Python

Data Warehousing

Statistical Judgment

Experimentation

Data Visualization

Communication Skills

Product Analytics

Education

Bachelor's in analytics or related field

Tools

Looker

Tableau

Snowflake

Databricks

PySpark

Job description

Disney Entertainment & Sports LLC in New York, NY is seeking a Senior Data Analyst to turn data into insights guiding ESPN's direct-to-consumer product strategy. You will own KPI layers, design data models, and build dashboards in Looker to drive business decisions.

You should bring 5+ years in analytics, strong SQL and Python skills, and experience with data warehousing, experimentation, and storytelling for leadership.