Product Analyst

This is a fully remote position, open to applicants anywhere in the world.

📋 Description

• Collaborate with Product Managers and game designers to define, monitor, and enhance core product KPIs across the game portfolio.

• Develop, execute, and evaluate A/B tests and product experiments.

• Perform in-depth analyses of player behavior and product usage to identify trends, friction points, and opportunities.

• Utilize statistical techniques such as hypothesis testing, regression analysis, and segmentation/clustering for forecasting and behavioral modeling.

• Create and sustain automated dashboards and self-service reporting for product KPIs, feature adoption, and player experience metrics.

• Conduct regular analyses of product and feature performance across various markets, operators, and product categories.

• Convert quantitative insights into actionable recommendations for Product, Game Design, and Executive stakeholders.

• Assist with ad-hoc analytical requests concerning product prioritization, feature launches, and roadmap planning.

• Identify strengths and weaknesses in product performance and communicate findings to both technical and non-technical audiences.

⛳️ Requirements

• Bachelor’s or master’s degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative discipline.

• Over 5 years of experience in a product analyst, data analyst, or similar analytical position.

• Experience in iGaming or online/mobile gaming is a notable advantage.

• Strong SQL skills with experience in querying large, complex datasets — required.

• Proficiency in at least one BI visualization tool (Tableau or Power BI) — required.

• Practical experience in designing and analyzing A/B tests or product experiments, including hypothesis testing and result interpretation — required.

• Familiarity with statistical methods such as regression, segmentation, and hypothesis testing applied to product and behavioral data.

• Strong analytical thinking, attention to detail, and a systematic approach to problem solving.

• Excellent communication abilities, with the capability to translate complex data into actionable recommendations.

• Ability to work independently and effectively collaborate as part of a cross-functional team.

• Business fluency in written and spoken English.

• Experience with Python (Pandas, NumPy) or R for data analysis and automation.

• Familiarity with product/event-tracking analytics tools such as Amplitude, Mixpanel, or Segment.

• Understanding of data warehousing concepts and the modern data stack, including Snowflake, BigQuery, and dbt.

• Advanced Excel proficiency, including pivot tables and data modeling.

• Experience working in agile, cross-functional product teams.

🏝️ Benefits

• Comprehensive health benefits package.

• Opportunities for professional development and career growth.

• Flexible working hours and remote work options.

• Collaborative and inclusive work environment.

• Employee discounts and perks.