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Easybrain

Middle/Senior Data Analyst

Easybrain

. Work closely with product managers, game designers, and monetization specialists to formulate and prioritise hypotheses .

Posted 10/22/2026full-timeLimassol • CyprusSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong quantitative skills in mathematics and statistics, with expertise in A/B test design and data analysis using Python and SQL. Capable of translating analytical insights into actionable recommendations while effectively communicating with stakeholders.

Highest-signal resume keywords
A/B Test DesignPython Data AnalysisSQL QueryingAI Tools for AnalysisMobile App Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
MathematicsStatisticsA/B Test DesignData AnalysisCohort AnalysisAudience SegmentationLTV ForecastingUser Acquisition PerformanceKey Product MetricsGame Balance Analysis
Soft Skills
CommunicationCollaborationProblem-Solving
Tools & Technologies
AI-Assisted Tools
Industry Keywords
Mobile GamesMobile App AnalyticsPlayer BehaviourRetentionEngagementMonetization

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Work closely with product managers, game designers, and 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

What you’ll need
  • 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
  • Experience in mobile games and mobile app analytics is a plus
  • Experience with cohort analysis, audience segmentation, LTV forecasting, and evaluating user acquisition performance is a plus
  • Experience leading analytical projects from problem definition to implementation and impact assessment is a plus

Benefits

Comp & perks
  • 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