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Tier-1 brand, mid-level generalist analytics role in a metro with common SQL/A-B skills raises competition.
Core analytics skills transfer across industries, though gaming live-service experience is preferred.
Explicit 2–4 years requirement plus mandatory SQL, A/B testing, and programming makes screening stringent.
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Analyze player behavior and game health metrics to guide product decisions and improve player experience.
Design, implement, and analyze A/B tests and perform statistical modeling to produce actionable insights for live operations.
Build and maintain complex SQL queries, dashboards, and automated analytical tools for scalable monitoring and reporting.
2–4 years experience in analytics or product analytics involving quantitative analysis for business/product decisions.
Strong SQL skills with experience handling large, complex data sources.
Experience designing and analyzing A/B tests using statistical significance.
Proficiency in programmatic analytics tools such as Python or R, and experience with data visualization tools (Tableau, Power BI, or Looker).
Experience collaborating with cross-functional teams including Product, Design, and Engineering to define metrics and analytical frameworks.
Background in live-service games, telemetry, or player behavioral analytics preferred but not mandatory.
Ability to translate ambiguous business questions into structured analysis and clear recommendations for diverse stakeholders.