Sr. Principal Insights Analyst - Central Product Insights
On-siteLos Angeles, California, United States
Job Summary
Conduct complex game analytics across the Riot Games portfolio, including foundational cross-game analysis, product health deep dives, and investigations into multi-game player behaviors. Lead development of scaled analytics tools, dashboards, and datasets while partnering with central executives and game teams to drive consistency in reports and shared design lenses. Mentor analysts and drive improvements on tools and processes to maximize efficiency, ensuring rigor in craft standards and productionizing central data infrastructure. Support game leadership on staffing and workforce management while synthesizing results into impactful recommendations for product and executive leadership.
Required Qualifications
- Bachelor's degree in Economics, Statistics, Physics, Mathematics or a related discipline
- 10+ years of relevant analytics experience (an advanced degree can account for up to 2 years of experience)
- 3+ years experience working directly in analytics on games
- Strong analytical skills across the entire stack (Tableau, SQL, Python/Pyspark)
- Meaningful familiarity with game design/direction and product strategy
- Experience conducting analytics to answer product or portfolio strategy questions
- Experience synthesizing & socializing analytics results and distilling results into impactful recommendations for product/executive leadership
- Excellent communication and interpersonal skills along with the strong ability to collaborate effectively at all levels and departments of the organization
- Able to work independently and lead complex projects which require coordinating multi-party worksteams
- Ability to own and drive workstreams collaboratively with cross functional partners across game design, engineering, data engineering, and product
- Strong communication and presentation skills with senior stakeholders
Desired Qualifications
- Experience working with competitive PvP titles
- Experience setting up automation for data pulls or pipelines
- Experience developing and deploying advanced statistical or machine learning models
- Advanced degree in Economics, Finance, Computer Science, Applied Mathematics, Statistics, Management Information Systems, a related discipline, or comparable work experiences
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