Product Data Analyst

Job not on LinkedIn

🔥 10 minutes ago

🌏 Anywhere in the World

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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EvoPlay

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2003

🎮 Gaming

🤝 B2B

🎲 Gambling

Gaming • B2B • Gambling

EvoPlay is a leading developer of integrated products and solutions for the online gaming industry. Founded in 2014 by serial entrepreneurs with extensive experience in online gaming, the company offers B2B solutions and technologies that empower hundreds of companies worldwide to cater to millions of players. EvoPlay's expertise spans gambling mathematics, games and gaming platforms, multi-platform CMS, payment systems, user support and retention, analytics and finance, recruitment, and traffic management. As an international company, EvoPlay focuses on creating products that effectively address consumer needs, ensuring exceptional value and satisfaction.

📋 Description

• 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

• 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

• 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