About The Position

About Riot Insights The Insights discipline empowers Rioters to make player-focused, data‑informed decisions. We are an interdisciplinary group of scientists, analysts, and strategists who illuminate the globally diverse experiences, behaviors, and needs of players so Riot can deliver meaningful value across games and beyond. About the Ecosystem Insights Team The Ecosystem Insights team serves as Riot’s underwriting body for major ecosystem bets ensuring investments across Esports, Publishing, Platform, CPX, and Entertainment are grounded in rigorous, player‑centric evidence. The team connects around‑game experiences to downstream player and business outcomes and partners directly with EcoLT to inform strategy, prioritization, and long‑term investment decisions. The Role As Principal Analyst, Ecosystem Insights, you are a senior individual contributor and technical authority responsible for defining how ecosystem value is measured and operationalized. You will lead the development of ecosystem‑level KPI frameworks, attribution models, and analytical systems that enable Riot to quantify how around‑game experiences influence retention, engagement, sentiment, and re‑activation across the portfolio. This role is not a reporting or service function. It is a strategic IC role that blends advanced analytics, systems thinking, and stakeholder influence. You will own the most complex analytical problem spaces on the team and act as a craft leader for ecosystem measurement and modeling. For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Requirements

  • 8+ years of experience in analytics, data science, strategy, or related fields, with demonstrated impact in complex, cross‑functional environments.
  • Proven experience designing and scaling KPI frameworks, measurement systems, or attribution models across multiple products or business lines.
  • Strong applied experience with advanced analytical techniques such as segmentation, regression, causal inference, forecasting, or experimentation.
  • Deep proficiency in SQL and strong working knowledge of Python and/or R for analysis and modeling.
  • Experience partnering with data engineering, product, publishing, or platform teams to operationalize analytics systems.
  • Exceptional communication skills, with the ability to influence senior technical and non‑technical stakeholders through clear analytical narratives.

Nice To Haves

  • Experience working on ecosystem, portfolio, or platform‑level analytics (beyond a single product or game).
  • Familiarity with esports, media, creator ecosystems, or entertainment analytics.
  • Experience with dashboarding and data visualization tools (e.g., Tableau, Hex) in service of strategic decision‑making.
  • Experience mentoring senior analysts or acting as a craft leader without formal people management.
  • Graduate degree in analytics, statistics, engineering, or a related field.

Responsibilities

  • Design and operationalize attribution models that link ecosystem activity (content, platform usage, esports engagement) to downstream player lifecycle outcomes.
  • Translate ecosystem strategy questions into rigorous analytical approaches, including segmentation, forecasting, and causal inference where appropriate.
  • Define, steward, and evolve ecosystem‑level KPI frameworks that quantify player and business impact across Esports, Publishing, Platform, CPX, and Entertainment.
  • Identify high‑leverage ecosystem opportunity and risk areas through proactive analysis.
  • Synthesize complex analytical findings into clear, decision‑ready insights for EcoLT and senior ecosystem leaders.
  • Partner with Ecosystem Insights research leads to integrate qualitative understanding with quantitative models and metrics.
  • Partner closely with Central Data Engineering and Analytics Enablement to design scalable pipelines, data models, and dashboards supporting ecosystem measurement.
  • Establish standards for data quality, metric definitions, and analytical repeatability across ecosystem surfaces.
  • Enable experimentation and longitudinal analysis across ecosystem touchpoints in collaboration with platform and product teams.
  • Serve as a senior analytics craft expert within Ecosystem Insights, setting a high bar for rigor, clarity, and technical excellence.
  • Introduce new analytical methods, tools, or frameworks that improve how ecosystem value is understood and measured.

Benefits

  • Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules.
  • We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match.
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