Key Responsibilities
Game 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 & Experience
Experience
- 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.
