VALORANT Insights Analyst III – Competitive Player Insights

Riot Games; Los Angeles (CA); On-site; USD 143,000 - 199,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401k with company match

Open PTO

Parental leave

Job summary

Riot Games in Los Angeles seeks an Insights Analyst III for VALORANT's competitive and player dynamics. You will work with product, data engineers, and designers to build dashboards, implement telemetry, and answer critical questions about matchmaking and tournaments.

You’ll translate data into strategic recommendations, mentoring teams to interpret trends and craft player-focused features. Strong SQL, Tableau, and Python knowledge are preferred, with AAA game experience a plus.

Qualifications

• 6+ years in business intelligence, economic analysis, or related fields.
• Proficiency in SQL, able to maintain complex spreadsheets, experience with Tableau or similar tools.
• Strong methods mindset: forming hypotheses, testing, and reporting outcomes.
• Experience breaking down complex problems using multiple frameworks and delivering insights for players and business.
• Experience analyzing large datasets and communicating recommendations to leadership.

Responsibilities

• Partner with product teams to produce frameworks and insights for VALORANT's competitive and player behavior systems.
• Prioritize development with leadership considering delivery timelines and product impact.
• Identify key product questions and work with data/engineering to implement telemetry.
• Communicate strategic recommendations and outcomes to business leaders.

Skills

SQL proficiency

Data analysis

Stakeholder communication

Education

Advanced degree in Economics/Statistics/Applied Math

Tools

Tableau

Python

Spark

Excel

Job description

Riot Games in Los Angeles seeks an Insights Analyst III for VALORANT's competitive and player dynamics. You will work with product, data engineers, and designers to build dashboards, implement telemetry, and answer critical questions about matchmaking and tournaments.

You’ll translate data into strategic recommendations, mentoring teams to interpret trends and craft player-focused features. Strong SQL, Tableau, and Python knowledge are preferred, with AAA game experience a plus.