Product Analyst

About this role

We are Kaizen Gaming Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment. We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents. Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices.

Here, there’ll be no average day for you. Ready to Press Play on Potential? Let's start with the role As a Product Analyst on the Platform team, you will bridge the gap between user understanding and data-driven decision-making. You will shape how product performance is measured by asking the right questions, designing the right studies, and synthesising both qualitative insights and quantitative signals into clear, actionable recommendations.

We are looking for a hybrid user researcher and product analyst who combines rigorous user research craft with strong product analytics fluency. Our ideal candidate is a compelling storyteller who uses both data and human insight to ensure that every product decision — from roadmap prioritisation to post-launch measurement — is grounded in evidence. As a Product Analyst, you will: User Research & Insight Generation Plan and conduct qualitative and quantitative studies (including interviews, surveys, shadowing) to uncover user needs, pain points, and mental models; Design and run in-product micro-surveys; Present findings and recommendations to stakeholders at all levels, in clear, compelling narratives.

Product Analytics & Measurement Define and monitor key product metrics (activation, engagement, retention, conversion, feature adoption) and KPIs tied to business outcomes; Leverage the transactional data lake to connect customer journeys with business results; Implement GA4 tagging to map journeys, surface pain points, and feed roadmap prioritisation. Synthesise, Hypothesise & Optimise Translate qualitative and quantitative findings into high-confidence, actionable insights; Develop data-driven hypotheses to close user pain points or improve feature performance; Define and validate North Star and guardrail metrics for new product areas.