Data Analyst

• We are looking for a data-driven, player-focused Data Analyst with exposure to AI and data query language to join our analytics team.
• You will work closely with Product, Game Design, UA, LiveOps, and Monetization teams to analyze player behavior, optimize game performance, and support AI-powered insights that enhance player engagement and revenue.

Key Responsibilities:

• Player & Game Insights Analyze in-game player behavior, progression, economy, funnels, and retention patterns.
• Support live-ops decisions with insights on events, offers, and content performance.
• Identify trends, churn indicators, bottlenecks, and player segmentation opportunities.
• Leverage AI tools (e.g., ChatGPT, analytics copilots, automated ETL assistants) to accelerate data exploration, reporting, and insights.
• Reporting & Dashboards Build and maintain dashboards for KPIs like DAU/MAU, retention, ARPDAU, conversion metrics, UA performance, etc., as and when required.
• Create automated pipelines for reports using SQL, Python, or BI tools.
• Cross-Functional Collaboration Partner with Game Designers, PMs, and other teams as required, to evaluate new features, A/B tests, and player journeys.
• Present insights in a clear, visual, and narrative-driven manner to help teams make data-backed decisions.

Qualifications:

• 5+ years of experience as a Data Analyst, preferably in gaming, mobile apps, or digital products.
• Strong SQL skills for querying large event-level datasets.
• Experience with Python/R for analysis, EDA, or model support.
• Understanding of gaming KPIs:
• retention, funnels, economy, monetization metrics, churn, LTV, ARPU/ARPDAU.
• Exposure to AI workflows or model lifecycle (usage and understanding of prominent tools).
• Hands-on experience with open-source BI tools Strong storytelling and communication skills for sharing data insights with non-technical teams.