Data Analyst

• Analyze large volumes of game and player data to identify patterns, trends, and dynamics, and turn them into clear business conclusions
• Translate findings into practical recommendations for product improvements
• Perform deep-dive investigations into performance anomalies or game features to explain what happened and why
• Collaborate with game designers, product managers, and developers to shape hypotheses and validate them through experimentation
• Support development and testing of predictive models (e.g., player LTV, churn, bonus optimization)
• Communicate complex insights in a simple, compelling way to both technical and non-technical audiences
• Help define metrics frameworks for new products or features
• Build dashboards and reports to help stakeholders monitor key KPIs and make data-driven decisions

Data Analyst

Freelance Mentor, Data Analytics, Data Science

Data Analyst