Principal Insights Analyst - League of Legends

Riot Games•Los Angeles, CA

9d•$187,700 - $261,700

About The Position

As a Principal Insights Analyst on League of Legends, you’ll join the League Insights team, a group of researchers, analysts, ML engineers, and data engineers that solves complex problems and enables Rioters to make difficult decisions with confidence. You’ll tackle complex and ambiguous problems facing League and advise senior leaders on important product and business decisions, with a particular focus on game economy and monetization systems. You’ll also help evolve the team’s analytics work for an increasingly AI-enabled environment by combining product judgment, advanced analytics, and technical expertise to solve difficult problems, build scalable analytical workflows, and mentor analysts. Success in the role calls for craft expertise, collaboration, and decisions that prioritize player delight. Riot considers candidates’ studies, experience, and personal relationship with games, including their empathy for players and care for player experiences. Riot Games emphasizes a player-first mission and collaborative teams where employees can bring their unique perspectives. The company provides equal employment opportunity and reasonable accommodations, and does not unlawfully discriminate against applicants or employees on protected grounds. Job duties may evolve with business needs. Certain duties—including protecting confidential data, communicating with Rioters and third parties, accessing secure company systems, and helping ensure a safe interactive environment—may be relevant to background checks under applicable fair-chance laws.

Requirements

BA/BS in Statistics, Data Science, Computer Science, Economics, Applied Mathematics, or a related field.
At least 9 years of experience in analytics, data science, business intelligence, consulting, or related roles involving complex quantitative analysis.
Demonstrated ability to own and solve highly complex, ambiguous product or business problems and translate analytical work into strategic recommendations.
Strong proficiency with SQL and Python, and experience building analytical pipelines and data models in modern data environments such as Databricks and DBT.
Hands-on experience developing AI-enabled or agentic analytics workflows, with demonstrated impact on analysis, reporting, or self-service analytics.
Deep expertise in analytical methods and the ability to select and apply advanced approaches to complex player, product, and business questions.
Strong product and business judgment, with experience using analytics to inform product, monetization, or other strategic decisions.
Proven ability to lead complex cross-functional work, influence senior stakeholders, and elevate analytics craft through mentorship, standards, or technical leadership.

Nice To Haves

Advanced degree in Economics, Statistics, Data Science, Computer Science, or a related field.
Experience analyzing game economies or monetization ecosystems.
Experience working on live-service games or other complex digital products with interconnected engagement and monetization systems.
Experience developing and scaling AI-enabled or agentic analytics workflows and self-service analytics beyond traditional BI tools, including reusable applications, tooling, standards, or team practices.
Experience applying modern software development practices to analytics workflows, such as version control, code review, testing, and modular development.
Strong familiarity with League of Legends as a player.

Responsibilities

Own and lead complex League Insights problem spaces, identify and prioritize important questions, navigate ambiguity, and drive work from problem framing through strategic recommendations.
Develop analytical perspectives on League’s economy to inform monetization strategy, including content strategy, spender lifecycle and segmentation, purchasing behavior, product incrementality and cannibalization, and long-term monetization health.
Apply advanced analytical methods to identify drivers of player behavior and product performance, opportunities and risks, and insights into complex product questions.
Develop reusable AI-enabled and agentic analytics workflows, tooling, and reporting approaches to improve the speed, consistency, and reliability of analysis.
Help evolve the League Insights analytics ecosystem and standards for an AI-enabled future, including interactive reporting, self-service analytics, and AI-assisted analysis.
Partner with data engineers to align evolving data foundations with analytical workflows, reporting needs, and AI-enabled use cases.
Shape product and business decisions through data-driven recommendations and trusted partnership with product teams and League leadership.
Serve as an Insights craft leader by setting quality standards, mentoring senior practitioners, and advancing analytical capabilities across the discipline.