Riot предлагает четко очерченную ведущую роль в крупной игровой студии, с современными инструментами аналитики, развитием AI-процессов и хорошими льготами; без указанной зарплаты сложнее оценить условия по оплате.
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Зарплата не указанаПонятная рольСовременный стекХорошие льготыAI и игры
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Текст:
Hirify AI/Оригинал
TL;DR
Principal Insights Analyst (AI/Gaming): Leading advanced analytics for League of Legends economy, monetization, player behavior, and product decisions with an accent on strategic problem-solving, scalable analytical workflows, and AI-enabled tooling. Focus on developing agentic analytics systems, applying complex quantitative methods, partnering with data engineers, and mentoring analytics practitioners.
Location: Not specified
Company
Riot Games develops games and player experiences, including League of Legends.
What you will do
Lead complex and ambiguous Insights problem spaces for League of Legends, from problem framing through strategic recommendations.
Develop analytical perspectives on the game economy, including content strategy, spender lifecycle and segmentation, purchasing behavior, incrementality, cannibalization, and long-term monetization health.
Apply advanced analytical methods to understand player behavior, product performance, opportunities, risks, and complex product questions.
Develop reusable AI-enabled and agentic analytics workflows, tooling, reporting approaches, interactive reporting, and self-service analytics.
Partner with data engineers and League leadership to align data foundations with analytical and AI-enabled use cases and inform product and business decisions.
Set analytics quality standards, mentor senior practitioners, and advance analytical capabilities across Insights.
Requirements
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.
Experience owning and solving highly complex, ambiguous product or business problems and translating analytical work into strategic recommendations.
Strong proficiency with SQL and Python, including 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, including using analytics to inform product, monetization, or other strategic decisions.
Ability to lead complex cross-functional work, influence senior stakeholders, and elevate analytics craft through mentorship, standards, or technical leadership.
Nice to have
Advanced degree in Economics, Statistics, Data Science, Computer Science, or a related field.
Experience analyzing game economies or monetization ecosystems.
Experience with 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.
Experience applying version control, code review, testing, and modular development to analytics workflows.
Strong familiarity with League of Legends as a player.
Culture & Benefits
Player-focused, collaborative environment centered on player experience and data-informed decision-making.
Open paid time off policy and flexible work schedules.
Medical, dental, and life insurance.
Parental leave for employees, spouses or domestic partners, and children.
401k with company match.
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