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EvoPlay

Product Data Analyst

EvoPlay

. Own analytics for a set of games or a product area, including KPIs, regular reporting, and deep dives into player behaviour .

Posted 10/20/2026full-timeRemoteMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in analytics for gaming products, including A/B testing, KPI reporting, and data visualization. Proficient in SQL and BI tools, with a solid understanding of statistics and data quality assurance.

Highest-signal resume keywords
SQL ProficiencyA/B Testing DesignData Visualization in QuickSight or Power BIPython or R for Data AnalysisIGaming Experience

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQLA/B TestingData AnalysisStatisticsData Quality ChecksData Pipeline BuildingClickHouseDashboard MaintenanceKPI ReportingData Validation
Soft Skills
CommunicationProblem-SolvingCollaboration
Tools & Technologies
QuickSightPower BITableauClickHouse
Industry Keywords
IGamingGGRRTPBet VolumeRetention

Tech Stack

Tools & technologies
PythonSQLTableau

About the role

Key responsibilities & impact
  • Own analytics for a set of games or a product area, including KPIs, regular reporting, and deep dives into player behaviour
  • Design and analyse A/B tests for game mechanics and features, from hypothesis and sample size through final read-out
  • Build and maintain dashboards in QuickSight or Power BI on top of ClickHouse data
  • Work with game designers, product managers, and data engineers to define metrics and ensure tracking is correct
  • Contribute to improving the BI setup, including data models and reporting migration
  • Translate stakeholder questions into decision-supporting analyses
  • Investigate incorrect data to identify root causes
  • Maintain dashboards and data pipelines after release, including data validation and retirement of unused assets
  • Raise problems and trade-offs early with proposed solutions
  • Produce analyses with clear conclusions and recommendations

Requirements

What you’ll need
  • 3+ years in product or data analytics
  • Strong SQL: complex joins, window functions, and query performance on large datasets
  • ClickHouse experience is a plus
  • Hands-on experience with at least one BI tool: QuickSight, Power BI, Tableau, or similar
  • Solid understanding of statistics for experiments, including significance, power, peeking, and multiple comparisons
  • Python or R for analysis beyond SQL
  • Ability to explain findings to non-analysts in plain language
  • English at B2 or higher
  • iGaming experience and familiarity with GGR, RTP, bet volume, and retention are a plus
  • Experience with data quality checks or building data pipelines is a plus

Benefits

Comp & perks
  • Corporate psychologist
  • Gifts for significant occasions
  • Legal support
  • Flexible working hours
  • Direct access to C-level and opportunity to suggest new business ideas and drive changes
  • Online/offline meeting opportunity