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Middle/Senior Data Analyst
Limassol · Hybrid · Analytics · Analytics
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About the role
PythonSQLData Analysis
Easybrain is looking for a Data Analyst to help shape product decisions across our mobile games.You will explore player behaviour, look for growth opportunities and design experiments that improve player experience and business performance.
Responsibilities:
- Work closely with product managers, game designers, monetization specialists to formulate and prioritise hypotheses;
- Design and analyse A/B tests, from hypothesis formulation and sample size estimation to interpretation and rollout recommendations;
- Analyse and monitor key product metrics, investigate changes, and identify opportunities for growth;
- Research player behaviour, progression and game balance to inform product improvements;
- Turn analytical findings into actionable recommendations and communicate them clearly to stakeholders;
- Use AI-assisted tools to accelerate analytical workflows while ensuring the accuracy of results.
Requirements:
- Strong quantitative background in mathematics, statistics and A/B test design;
- Experience using Python for data analysis;
- Strong SQL skills for querying and analysing large datasets;
- Understanding of key product metrics, including retention, engagement, and monetization;
- Practical experience using AI tools for coding, analysis, or automation;
- Russian language is a necessity;
- English at Intermediate level or above.
Will be a plus:
- Experience in mobile games and mobile app analytics;
- Experience with cohort analysis, audience segmentation, LTV forecasting, and evaluating user acquisition performance;
- Experience leading analytical projects from problem definition to implementation and impact assessment.
Benefits:
Besides the engaging tasks, support from experienced colleagues, challenge, and drive, we offer:
- Full support in relocating to countries where our offices are located;
- High-end market salary with performance bonuses;
- All needed equipment;
- Regular company events and monthly Friday meetings;
- Social benefits (private medical cover, sports reimbursement, etc.);
- Paid vacations, sick days;
- English, Greek, and Polish online language classes;
- Reimbursement for education and professional development.