Middle/Senior Data Analyst

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.

Employment type
Analytics

Work arrangement
Hybrid