Own and improve the company’s large-scale data pipeline, covering ingestion, cleanup, transformation, aggregation, monitoring, and cost optimization. Build data lake tables and semantic layers, improve dataset quality with Data Scientists, resolve pipeline performance issues, and support analytics and AI-driven insights. The role will progressively assume full ownership of the data pipeline and requires strong SQL, autonomy, organization, communication, and experience with large data lakes.

Analyze product data and user behavior to identify opportunities, diagnose retention and progress issues, evaluate product releases, and interpret A/B tests. Partner with product managers, engineers, data teams, and designers to prioritize improvements across player journeys. Conduct user testing and communicate findings to improve product KPIs such as gameplay conversion, lifetime playtime, and returning users.

Build and operate LiveOps systems for shipped mobile and web games, including events, progression, offers, economies, remote configuration, A/B testing, and monetization features. Analyze retention, session length, ARPDAU, conversion, and cohort behavior to prioritize updates. Own LiveOps roadmaps, support soft and global launches, work in existing codebases, and establish repeatable tooling and update processes across multiple titles.