Principal Insights Analyst - League of Legends

Los Angeles · 9+ years experience · Posted Oct 13, 2026

At a glance

As a Principal Insights Analyst on League of Legends, you will join the League Insights team to solve complex problems and enable Rioters to make difficult decisions with confidence.
You will tackle complex and ambiguous problems facing League, with a particular focus on game economy and monetization systems, while advising senior leaders on key product and business decisions.
This role combines strong product judgment, advanced analytics, and technical expertise to build scalable analytical workflows and mentor analysts across the team.

Own and lead some of League’s most complex Insights problem spaces, identifying and prioritizing the right questions, navigating ambiguity, and driving work from problem framing through strategic recommendation.
Develop deep analytical perspectives on League’s economy to inform monetization strategy, across questions such as content strategy, spender lifecycle and segmentation, purchasing behavior, product incrementality and cannibalization, and long-term monetization health.
Apply advanced analytical methods to uncover the drivers of player behavior and product performance, identify opportunities and risks, and deepen understanding of complex product questions.
Develop reusable AI-enabled and agentic analytics workflows, tooling, and reporting approaches that improve the speed, consistency, and reliability of analysis.
Help evolve the League Insights analytics ecosystem and standards for an AI-enabled future, including new approaches to interactive reporting, self-service analytics, and AI-assisted analysis.
Partner closely with data engineers to align evolving data foundations with downstream 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 a craft leader across Insights, setting quality standards, mentoring senior practitioners, and advancing analytical capabilities across the discipline.

BA/BS in Statistics, Data Science, Computer Science, Economics, Applied Mathematics, or a related field
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, translating analytical work into strategic recommendations
Strong proficiency with SQL and Python, with 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 how analysis, reporting, or self-service analytics are performed
Deep expertise in analytical methods, with the ability to select and apply advanced approaches to understand 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