The Senior Game Data Analyst is responsible for analyzing game performance and player behavior to generate insights
that directly improve gameplay, retention, monetization, and live operations.
This role acts as a key analytical partner to Game Directors, Product Managers, and Live Ops teams, translating data into
clear, actionable recommendations.
The Senior Game Data Analyst is expected to go beyond reporting and play an active role in decision-making,
experimentation, and game optimization.
Mission & Objectives● Drive data-informed decisions across game design, live ops, and monetization.
● Identify opportunities to improve player experience and business performance through analytics.
● Set a high bar for insight quality and analytical rigor within the game analytics team.
Scope of ResponsibilityThe Senior Game Data Analyst owns analytics across:
● Gameplay & Player Behavior Analysis
● Retention, Engagement & Cohort Analysis
● Monetization & Economy Performance
● Live Ops & Event Performance
● Experimentation & A/B Testing
Key ResponsibilitiesGame Performance & Player Behavior Analysis
● Analyze player behavior across core loops, levels, and features.
● Identify friction points, drop-offs, and engagement drivers.
● Translate gameplay data into actionable insights for game design improvements.
Retention, Monetization & Live Ops Analytics
● Monitor and analyze retention, churn, ARPU, ARPPU, and conversion funnels.
● Evaluate the performance of in-game events, promotions, and live ops activities.
● Support optimization of game economy and monetization strategies.
Experimentation & Decision Support
● Design and analyze A/B tests and experiments for game features and live ops.
● Define success metrics and interpret experiment results accurately.
● Provide clear recommendations based on experimental evidence.
Insight Communication & Stakeholder Collaboration
● Present insights and recommendations to Game Directors, Product Managers, and stakeholders.
● Build strong data narratives that explain what happened, why it happened, and what to do next.
● Act as a trusted analytics partner in cross-functional discussions.
Analytics Quality & Mentorship
● Review and challenge analyses to ensure accuracy and relevance.
● Mentor junior analysts in analytical thinking and game metrics.
● Contribute to analytics frameworks, templates, and best practices.
Key Working Relationships
● Head of Game Data Analysis
● Game Data Expat / Analytics Advisors (if applicable)
● Game Directors & Product Managers
● Live Ops & Monetization Teams
● Data Platform / Engineering
Success Metrics (How Success Is Measured)
● Insights are consistently used in game design and live ops decisions.
● Improved understanding of player behavior and game performance.
● High-quality, actionable analysis delivered on time.
● Positive impact on retention, engagement, and monetization metrics.
● Strong collaboration and trust with game and product teams.
Required Skills & ExperienceExperience
● 2-5+ years of experience in game analytics or product analytics, preferably in mobile or live-service games.
● Hands-on experience analyzing player behavior, retention, and monetization.
● Experience supporting game teams with data-driven decision-making.
Analytical & Technical Skills
● Strong proficiency in SQL.
● Experience with BI tools and data visualization.
● Solid understanding of cohort analysis, funnels, and experimentation.
● Familiarity with game metrics and KPIs.
Soft Skills
● Strong problem-solving and critical thinking skills.
● Ability to translate complex data into clear, actionable insights.
● Excellent communication and storytelling abilities.
● Comfortable working in fast-paced, iterative game development environments.
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