Senior Data Analyst

Build and maintain automated monitoring and commercial modeling (LTV, ROAS) across mobile game portfolio to identify changes early and guide user acquisition spend.

Analyze data trends to diagnose issues or opportunities, quantify impact, and recommend actionable strategies to improve game monetization and ad testing.

Communicate clear, simple insights to cross-functional teams and leadership, measuring the impact of interventions and supporting decision-making on user acquisition investments.

Several years of analytics experience in mobile games or app businesses involving paid user acquisition.

Strong SQL and Python (or R) skills with hands-on experience in LTV prediction, cohort analysis, and ROAS modeling.

Solid understanding of experiment design and statistics.

Role is based onsite 5 days per week at Bangalore office.

Experienced in end-to-end data-driven decision making in mobile gaming or app monetization environments, focusing on commercial impact and user acquisition optimization.

Able to independently build predictive models and automated monitoring systems that directly influence marketing spend and product strategy.

Comfortable translating complex analytics into clear recommendations that guide cross-team initiatives and leadership decisions.