Product Analyst

About This Role

This role involves working closely with Product Managers and game designers to analyze product performance, player behavior, and experimental results within the iGaming industry. It suits a data-driven professional who can translate complex findings into actionable recommendations for product development.

Responsibilities

• Partner directly with Product Managers and game designers to define, track, and evolve core product KPIs – activation, retention, engagement, and monetization – across the game’s portfolio
• Design, run, and analyze A/B tests and product experiments, collaborating with Product on hypothesis design, metric definition, and interpretation of results
• Conduct deep-dive analyses of player behavior and product usage to uncover trends, friction points, and opportunities that inform the product roadmap
• Apply statistical techniques – hypothesis testing, regression, segmentation/clustering – to support forecasting and behavioral modelling
• Build and maintain automated dashboards and self-serve reporting for product KPIs, feature adoption, and player experience metrics
• Perform recurring analysis of product and feature performance across markets, operators, and product verticals
• Translate quantitative findings into clear, actionable recommendations for Product, Game Design, and Executive stakeholders
• Support ad-hoc analytical requests tied to product prioritization, feature launches, and roadmap decisions
• Identify strong and weak points in product performance and present findings clearly to both technical and non-technical audiences

Requirements

• Bachelor’s or master’s degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field
• 5+ years of experience in a product analyst, data analyst, or similar analytical role, ideally supporting a product or engineering organization
• Strong SQL skills with experience querying large, complex datasets
• Proficiency in at least one BI visualization tool (Tableau or Power BI)
• Practical experience designing and analysing A/B tests or product experiments, including hypothesis testing and interpreting results
• Working knowledge of statistical methods (regression, segmentation, hypothesis testing) applied to product and behavioural data
• Strong analytical thinking, attention to detail, and a structured approach to problem solving
• Excellent communication skills, with the ability to translate complex data into recommendations that Product Managers and executives can act on
• Self-starter who takes ownership and works well independently, while also collaborating effectively as part of a cross-functional team
• Business fluency in written and spoken English