<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p><strong>Game Analyst</strong></p><p>Hamburg - remote (within Germany due to contract restrictions)</p><p><br/></p><p>Our client, a long-running and highly successful gaming company with millions of players, is looking for a Game Analyst to join their Analytics team.</p><p><br/></p><p><strong>About the Role</strong></p><p>In this role, you'll turn LiveOps and monetisation questions into clear, measurable actions and help shape events, offers, and economies that players love, while sustainably growing revenue.</p><p><br/></p><p><strong>Responsibilities</strong></p><ul><li>Monitor and analyse event cycles, feature rollouts, and in-game promotions, proactively flagging opportunities and risks such as pacing issues, difficulty spikes, and churn signals.</li><li>Evaluate sinks and sources, resource inflation, and progression friction, advising on economy tuning that balances fun, fairness, and revenue.</li><li>Co-own A/B tests for events, offers, and monetisation features - defining hypotheses, success metrics, and guardrails, then quantifying incremental impact including uplift, cannibalisation, and long-term effects.</li><li>Track the funnel from acquisition through to offer performance and translate findings into concrete recommendations.</li><li>Build and maintain self-serve reporting for LiveOps and monetisation, enabling fast decision-making during live events and post-mortems.</li><li>Collaborate closely with designers, product owners, and developers to improve tracking, ensure clean KPI definitions, and communicate results in a way that drives action.</li></ul><p><br/></p><p><strong>Qualifications</strong></p><ul><li>2+ years' experience in product or game analytics within Free-to-Play, with exposure to LiveOps and monetisation topics (events, offers, economy, segmentation).</li><li>Strong SQL skills, with the ability to write performant queries on large event datasets, validate tracking logic, and work comfortably with joins, window functions, and cohort/funnel analysis.</li><li>A solid grasp of applied statistics, including experiment design, significance, and bias pitfalls, with the judgement to balance speed with rigour in a fast-paced LiveOps environment.</li><li>Confidence in Microsoft Excel for rapid analysis and Power BI for clear, reliable dashboards, along with working familiarity with AI assistants and prior experience using Python analytically.</li><li>Strong understanding of core Free-to-Play concepts (conversion, payer lifecycle, LTV, price elasticity, cannibalisation), with a genuine interest in following the wider live games market.</li><li>Excellent communication skills, with the ability to present insights as clear decisions tailored to different audiences.</li><li>A self-driven, impact-focused approach, comfortable working to a cadence-driven LiveOps rhythm and always digging for the "so what?" behind the numbers.</li></ul><p><br/></p><p><strong>Pay range and compensation package</strong></p><ul><li>€55,000–€72,000 gross (seniority level assessed during interview)</li><li>Flexible, trust-based working hours, plus on-site perks such as table tennis, a gym, and a rooftop terrace.</li><li>Excellent training and development opportunities, including e-learning, hard and soft skills training, and industry conferences.</li><li>28 days' holiday</li><li>Optional German lessons available.</li><li>Regular team socials (wine tasting, cooking, paintball), rooftop barbecues, and company-wide events.</li></ul> </div>