Job
- Level
- Senior
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will continuously analyze high-frequency data using Claude and Databricks, develop structured hypotheses from business questions, and build dashboard tools for data-driven decision-making.
Job Technologies
Your role in the team
- As a Senior Data Analyst (m/f/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.
- 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 instrumentation across domains.
- Absorb new business context quickly when redeployed to a different stakeholder team, contributing decision-ready work within weeks.
- Share your thinking openly, from quick prototypes to final recommendations, to help the team learn faster.
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Our expectations of you
Qualifications
- Analytical and Performance-Driven Mindset: Comfortable framing ambiguous questions into structured hypotheses and evaluating experiments (A/B tests, incrementality).
- Communication and Collaboration: Strong communication skills, able to influence technical and non-technical stakeholders through structured, data-driven argumentation.
- Unabhängige und lösungsorientierte Denkweise: Sicheres Arbeiten in schnelllebigen, internationalen Umgebungen.
Experience
- Experienced: 5+ years of experience in product, business, or behavioral analytics, ideally spanning more than one domain (product, marketing, finance, or commercial operations); B2C, mobile gaming, or AdTech experience is a plus.
- AI Fluency: Genuine hands-on experience working with AI tools like Claude as part of your daily workflow, not just occasional use.
- Technical Expertise: Strong Databricks and/or Spark experience with several years of real, hands-on exposure; strong SQL and Python skills for analysis, automation, and modeling; BI tools (Tableau, Looker, or similar) for dashboarding.
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What we offer
- Please note: this is not a remote-only position; we offer a flexible hybrid model here in Hamburg, Germany, working from home on Mondays & Fridays, and coming to the office on Tuesday, Wednesday & Thursday!
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
exmox GmbH
exmox GmbH, based in Hamburg, supports mobile game publishers in acquiring and retaining users over the long term. Through its own reward-based apps and campaigns, the company connects users with mobile games and promotes engagement, retention, and customer lifetime value.
Description
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Senior Data Analyst
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
