Product Analyst

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. Dashboards, Reporting & Knowledge Management Build and maintain dashboards and self-serving reporting for real-time visibility into feature health; Maintain a shared research repository so qual and quant evidence stay discoverable and connected. Cross-functional Partnership Represent both the voice of the customer and the voice of the data in product discussions; Advise the Platform team across the product lifecycle, from discovery to post-launch measurement; Collaborate closely with Product Managers, Product Designers, BI teams, and other Product Analysts to prioritise roadmap items on evidence and impact. What you'll bring: 3+ years of experience in Product Analytics in a consumer internet business, or a high-growth, fast-paced product organisation ; Hands-on experience planning and conducting user interviews, and surveys — with the ability to synthesise findings into actionable recommendations; Experience defining and tracking product metrics and KPIs, and building measurement frameworks that connect user behaviour to business outcomes; Experience with Google Analytics 4 (GA4) and other product or experience analytics platforms; Ability to independently determine and establish data analysis priorities, balancing ongoing projects with requests from various stakeholders; Strong presentation skills to share insights and influence stakeholders; A detail-oriented, impact-driven, customer-centric approach to both research and data analysis; A demonstrated AI-first mindset, actively leveraging AI tools and assistants to improve productivity, problem-solving and decision-making. Continuously exploring new AI capabilities and championing their practical adoption within teams, using AI as a natural part of day-to-day work rather than a supplementary tool. Nice to have Previous experience in the sports betting or iGaming industry; Experience with research repository tools such as Dovetail for organising and sharing research insights; Familiarity with Databricks or similar big data platforms. Kaizen Gaming Perks 🕑 Hybrid way of working 🏃 A buddy will support you with your onboarding 💸 Competitive pay and bonus scheme 💰 Monthly meal allowance 👩‍⚕️ Private health insurance for you and your family ⭐Developmental 360° feedback framework 📚 Unlimited access to Udemy & continuous training 👨‍👩‍👧‍👦 Family Support #LI-Hybrid #LI-MS1 Recruitment Privacy Notice Regarding the data you share with us, you may find and read our recruitment privacy notice here . We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.