(Senior) Data Analyst - Product (f/m/x)

Department: Data Analytics

Employment Type: Permanent employee

Schedule: Full-time

Seniority: Experienced

Location: Hamburg

• Partner with Product, Customer Support, Fraud and LiveOps team to bring clarity to ambiguous problems and support decisions with evidence.
• Explore user behaviour to uncover motivations, friction, and opportunities for product improvements.
• Turn vague product questions into experiments, meaningful metrics, and clear hypotheses.
• Build insights that simplify complexity and highlight what truly matters.
• Identify gaps in tracking early and help improve the quality of product instrumentation.
• Create dashboards that allow teams to monitor user behaviour without repeated analysis requests.
• Share your thinking openly, from quick prototypes to final recommendations, to help the entire team learn faster.
• Revisit earlier conclusions as new data becomes available and ensure our decisions stay aligned with actual user behaviour.

• Product growth through actionable insights: Analyses directly influence product prioritization, feature strategy, and user experience improvements, driving higher engagement, retention, and monetization.
• Product, Marketing, and Sales economics are aligned: Close collaboration with Sales and Marketing Analytics ensures shared definitions of LTV, contribution margin, and performance KPIs, enabling unified, cross-functional decision-making grounded in a common commercial view.
• Product insights are clear and actionable: Complex user behavior and product performance data are translated into compelling stories and strategic recommendations that guide decision-making.
• Opportunities and risks are identified early: Trends, friction points, and engagement signals that impact user experience and business outcomes are proactively surfaced, enabling timely intervention.
• Product analytics capability is elevated: Through automation, scalable dashboards, and strong cross-functional collaboration, the speed, adoption, and impact of data-driven decision-making across product teams increases.

• Experienced: 5+ years of experience in product, user, or behavioural analytics, ideally in high-scale B2C environments such as gaming, free-to-play, or AdTech. Proven track record of shaping product decisions through data.
• Product and User Understanding: Deep familiarity with user journeys, funnels, activation, retention, segmentation, and behaviour analysis. 
• Analytical and Performance-Driven Mindset: Strong ability to frame problems, translate open questions into measurable hypotheses, and design and evaluate A/B tests. Able to translate data into clear, relevant recommendation and identifying high-impact opportunities.
• Technical Expertise: Strong skills in SQL and Python for analysis and automation; experience with BI tools (e.g., Tableau or similar) for dashboarding.
• Communication and Collaboration: Ability to present insights convincingly to both technical and non-technical stakeholders and influence decision-making through structured, data-driven argumentation.
• Independent and solution-oriented mindset: Comfortable operating in fast-paced, international environments and independently translating complex business questions into clear, actionable analyses.

• Ambitious people, real ownership. You’ll work with driven, entrepreneurial people who care deeply about what they deliver, challenge each other openly, and own outcomes together.
• We’re playing at the top, but we’re not done. Our apps rank in the top 5 of their categories. We’re determined to push further, compete harder, and earn the number one spot.
• You own your own growth. Growth doesn’t happen by accident. At exmox, learning is built into the work - through responsibility, feedback, and real challenges. 
• Perks that help you focus on what matters. Transport subsidy, learning budget, wellness and gym, workation, bi-weekly team lunches, and more. The perks are great - but the real reason people join and stay is the challenge, the people, and the drive to win together.