Lead analytics for Zynga Poker by running A/B tests, building ETL pipelines and dashboards, analyzing player behavior, tuning game economy, and improving fraud/bad-actor models. Collaborate with product, design, and data science teams, contribute to AI/LLM initiatives, and maintain telemetry and BI tools to inform strategic decisions that impact millions of players.

Work with large game datasets to measure and improve VIP engagement, campaign effectiveness, and player support. Build data models, dashboards, and analyses; collaborate with game analysts, product teams, and stakeholders to provide insights and ad-hoc reporting to optimize player outreach and satisfaction.