Product Analyst

About the role

As a Product Analyst at Kaizen Gaming, you will play a critical role in bridging user insights with data-driven decisions. Your responsibilities will include conducting user research, defining key product metrics, and synthesizing findings to inform product development and enhancements.

You will collaborate with cross-functional teams, including Product Managers and Designers, to ensure that user needs are represented in product discussions. Success in this role involves leveraging analytics to drive product improvements and enhancing the overall customer experience.

Skills that matter here

• product analytics: This role requires defining and monitoring key product metrics to measure performance and inform decision-making.
• user research: You will conduct qualitative and quantitative studies to uncover user needs and pain points.
• Google Analytics 4: Experience with GA4 is essential for mapping customer journeys and tracking product metrics.
• data analysis: Data analysis skills will be used to translate findings into actionable insights that drive product improvements.
• AI tools: An AI-first mindset is necessary to leverage AI tools for enhanced productivity and decision-making.

Who this role suits

• A candidate with 3+ years of experience in product analytics, ideally in a fast-paced environment.
• Someone who is detail-oriented and has a customer-centric approach to research and data analysis.
• A person who thrives in collaborative settings and can influence stakeholders with strong presentation skills.
• An individual who actively seeks to integrate AI tools into their workflow for improved outcomes.

From the employer

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