About the company
Riot Games' Insights discipline empowers data-informed decision-making through an interdisciplinary group of scientists, consultants, and strategists.
Responsibilities
- Tackle complex and impactful game analytics problems across the Riot Games portfolio including foundational cross-game analytics, product health deep dives, and investigations into multi-game player behaviors and patterns
- Apply machine learning and statistical modeling techniques to uncover insights in player behavior, forecast product performance, and support ecosystem-level strategies
- Contribute to the development and refinement of analytics tools, dashboards, and datasets that support portfolio decision-making
- Mentor and develop game analysts on CPI
- Work with central and game teams to drive consistency and efficiency in key reports
- Partner closely with Data Engineering to productionalize central analytics tables and pulls
- Model and mentor best practices in analytics craft
- Proactively identify player and business opportunities through deep analytical and strategic thinking
Requirements
- Bachelor's degree in Economics, Statistics, Physics, Mathematics or a related discipline plus at least 8 years of relevant experience
- 2+ years experience applying analytics to games or other live-service products
- Strong analytical skills across the entire stack (Tableau, SQL, Python/PySpark)
- Familiarity with game design/direction and product strategy
- Experience conducting analytics to answer product or portfolio strategy questions
- Experience synthesizing and socializing analytics results into impactful recommendations for product leadership
- Excellent communication and interpersonal skills
- Able to work independently and lead projects requiring coordinating multi-party workstreams
- Ability to own and drive workstreams collaboratively with cross-functional partners
Conditions
- Open paid time off policy and flexible work schedules
- Medical, dental, and life insurance
- Parental leave
- 401k with company match