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Senior Data Analyst (f/m/x)

Your Mission This is a company built for growth, not comfort. When you join exmox, you're stepping onto a global, highly competitive playing field, solving real problems in environments that push you beyond your comfort zone....

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exmox GmbH hamburg Source published Oct 1, 2026 Verified 1 day ago
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Overview

Your Mission This is a company built for growth, not comfort. When you join exmox, you're stepping onto a global, highly competitive playing field, solving real problems in environments that push you beyond your comfort zone. We build high-performing consumer products across multiple brands in one of the most competitive industries there is: mobile gaming. You will be part of a company on a path of hyper-growth, spearheading one of the largest innovations in the mobile gaming industry, rewarded user acquisition. At exmox, data is the compass that guides product, commercial, and financial decisions. We are moving away from siloed analyst roles and building interdisciplinary data teams where AI, specifically Claude, handles the heavy lifting of routine analysis, freeing analysts to focus on judgment, framing, and impact. As a Senior Data Analyst (f/m/x), you will operate as a generalist across product, commercial, and financial questions, using Claude and Databricks daily rather than as an occasional tool, and you will grow alongside the team as it evolves toward deeper data engineering and ML capability. What You'll Own: Partner with Product, Sales, Marketing, Finance, Customer Support, Fraud, and LiveOps teams to bring clarity to ambiguous problems and support decisions with evidence. Turn vague business questions, product or commercial, into structured hypotheses, experiments, and decision-ready analyses. Use Claude and Databricks as core tools for analysis and automation, not just for dashboarding, including working with high frequency data updating every few minutes rather than static daily aggregates. Track and analyze performance across product, campaign, revenue, and profitability dimensions, adapting focus to wherever decision support is most needed. Build dashboards and self-service tools that let teams monitor performance without repeated ad hoc requests. Identify gaps in tracking and data quality early, and help improve instrument

Full job description

Your Mission This is a company built for growth, not comfort. When you join exmox, you're stepping onto a global, highly competitive playing field, solving real problems in environments that push you beyond your comfort zone. We build high-performing consumer products across multiple brands in one of the most competitive industries there is: mobile gaming. You will be part of a company on a path of hyper-growth, spearheading one of the largest innovations in the mobile gaming industry, rewarded user acquisition. At exmox, data is the compass that guides product, commercial, and financial decisions. We are moving away from siloed analyst roles and building interdisciplinary data teams where AI, specifically Claude, handles the heavy lifting of routine analysis, freeing analysts to focus on judgment, framing, and impact. As a Senior Data Analyst (f/m/x), you will operate as a generalist across product, commercial, and financial questions, using Claude and Databricks daily rather than as an occasional tool, and you will grow alongside the team as it evolves toward deeper data engineering and ML capability. What You'll Own:

Partner with Product, Sales, Marketing, Finance, Customer Support, Fraud, and LiveOps teams to bring clarity to ambiguous problems and support decisions with evidence. Turn vague business questions, product or commercial, into structured hypotheses, experiments, and decision-ready analyses. Use Claude and Databricks as core tools for analysis and automation, not just for dashboarding, including working with high frequency data updating every few minutes rather than static daily aggregates. Track and analyze performance across product, campaign, revenue, and profitability dimensions, adapting focus to wherever decision support is most needed. Build dashboards and self-service tools that let teams monitor performance without repeated ad hoc requests. Identify gaps in tracking and data quality early, and help improve instrument

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