Lead Data Analyst
Core
Lead a team of data analysts to own business problems, build predictive models for player retention and value, and architect data pipelines for a mobile gaming company.
Role type
Senior Lead Data Analyst (Gaming)
Builds
Churn prediction models, LTV/revenue forecasting models, experimentation frameworks, and self-serve dashboards for product decisions.
Domain
Mobile Gaming / Consumer Tech
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL (advanced), Python (pandas/numpy), statistical modeling, experiment design, data pipeline architecture, causal inference, data visualization
Preferred skills
Mobile gaming analytics, experimentation platform setup, feature store experience
Technologies
Redshift, Athena, BigQuery, Hive, Spark, Metabase, Looker, Tableau, Power BI
Responsibilities
Design and analyze A/B tests with proper guardrail metrics; build churn prediction models to drive interventions; forecast player LTV and revenue; tune in-game economy and pricing; architect and optimize data pipelines connecting telemetry to ML systems; mentor analysts and build self-serve dashboards.
Seniority
Senior, hands-on IC with team leadership
