🎯 Role Overview: We are looking for a Head of Product Analytics to build and lead the analytical function across our White Label iGaming platform.
This role sits at the intersection of Product, Data and Business, with a strong focus on turning data into actionable insights, identifying growth opportunities, and enabling product teams to make better decisions.
You will own the analytical framework behind product performance: from defining the right metrics and building a clear understanding of user behaviour to identifying growth opportunities, validating hypotheses and measuring the real business impact of product initiatives.
The goal is to create a scalable product analytics function that helps teams understand what drives player value, where the biggest opportunities are, and which initiatives actually move the business.
⚙️ Your Tasks:
Build and own the Product Analytics strategy across the White Label platform, aligning analytical priorities with product and business goals.
Develop a comprehensive product metrics framework covering acquisition, activation, engagement, retention, monetization and player lifecycle.
Build and maintain analytical models and dashboards that provide a clear view of product performance across brands, GEOs, player segments and lifecycle stages.
Identify and quantify growth opportunities across key product and player metrics, including PAU, FTD/RD, retention, engagement, Bets Count, Bet AVG, game performance, payments and monetization.
Translate business questions into analytical frameworks, helping Product and other stakeholders understand the drivers behind performance rather than simply reporting what happened.
Build a clear connection between product metrics and business outcomes, including GGR/NGR and other relevant commercial metrics.
Establish a systematic approach to hypothesis validation, including experiment design, cohort analysis, A/B testing and causal analysis.
Distinguish real product impact from external factors such as seasonality, player mix, RTP fluctuations, market dynamics and other confounding variables.
Evaluate product initiatives and experiments based on incremental business impact, helping teams understand what works, why it works and where it can be scaled.
Identify successful patterns across brands and GEOs and assess their potential for replication across the White Label ecosystem.
Create a prioritised analytics and opportunity backlog, ensuring analytical resources are focused on the highest-impact business and product questions.
Establish product performance tracking across actual results, forecasts, targets, key drivers and active initiatives.
Partner closely with Product, CRM, Casino, Payments, Marketing, Operations and Data teams to turn insights into measurable product improvements.
Build and develop the Product Analytics team, setting standards for analytical quality, methodology, prioritisation and stakeholder partnership.
Establish a culture where analytics is used not only for reporting, but as a core part of product discovery, decision-making and continuous optimisation.
What success looks like
You will build a Product Analytics function that enables the business to consistently answer:
What are the key drivers of product and player performance?
Where are the biggest opportunities for growth?
Which product initiatives have the highest potential impact?
How much incremental business value can we expect from an initiative?
Did the initiative actually create incremental impact?
Why did the impact happen?
Can the successful approach be replicated across other brands or GEOs?
Where should Product, Engineering, CRM and other teams focus their efforts next?
The ultimate outcome is a repeatable analytical growth loop:
Business Goal → Product Metric → Opportunity → Hypothesis → Experiment → Impact Measurement → Insight → Product Decision → Scale
👤Our criteria:
5+ years of experience in Product Analytics, Data Analytics, Business Anal
