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🟢 Actively Hiring · Posted 1d ago ⏳ Closes in 90 days UK Corridor 🛡️ EU Blue Card / Chancenkarte Eligible 🏢 Experienced

Senior Data Analyst (f/m/x)

🏢 exmox • 📍 Hamburg • 🕒 Oct 15, 2026
Salary Range
Salary Disclosed on Application
Full Benefits Package

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Prevailing Wage Benchmark UK National Minimum Wage & Equality Act 2010 aligned
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Location Base
Hamburg
Tier-1 DE Economic Zone
Est. Take-Home Pay
68% - 74% (After PAYE & NI)
Single tax filer baseline
Transatlantic Parity
1.0 GBP ≈ $1.28 USD Living Standard
Direct corporate benchmark
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Position Overview & Specifications


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 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.

What Success Looks Like:
  • Product, commercial, and financial decisions are driven by evidence: Your work directly shapes prioritization, budget allocation, and go/no go calls across Product, Sales, Marketing, and Finance.
  • Risks and opportunities are identified early: Margin erosion, engagement drops, and high-LTV pockets are surfaced before they become obvious.
  • You operate across domains without losing time: When moving from one business question to another, you ramp quickly and start contributing within weeks, not months.
  • You drive the shift toward AI-heavy analytics: You use Claude to move faster and push the team's tooling forward rather than waiting for it to be handed to you.


What You Bring

  • 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.

  • 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.

  • Independent and solution-oriented mindset: Comfortable operating in fast-paced, international environments.


How We Win

  • Speed is the feature. Speed beats rocket science. We move fast, test fast, and multiply our pace with AI, because action creates information and small wins compound. A fast failure is a lesson we learn from, a slow one is a problem we can't afford.

  • Focus on the essential. Done is better than perfect. We stay focused on what actually moves us forward and protect people's time from anything that doesn't. We're direct in how we communicate too, no rambling, no unnecessary detail.

  • See it. Own it. Solve it. The first to see it is best placed to fix it. We're not a place for comfort, we're a place for doers. "Not my job" isn't in our vocabulary, if you spot something, you help make sure it gets solved.

  • Respect others. Trust multiplies. Respect is non-negotiable. We disagree with ideas, never with people. Trust here is built the same way it is anywhere, through consistency, a thank you, a moment of listening, and owning your mistakes.

  • 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 ownership, and the drive to win together.


Please note: this is not a remote only position, we offer you a flexible hybrid model here in Hamburg, Germany, working from home on Mondays & Fridays, coming to the office on Tuesday, Wednesday & Thursday!

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Candidate Selection & Onboarding Process

1

Application & Resume Screening

Submit your tailored CV/Resume directly to the talent acquisition portal.

2

Technical & Competency Interviews

Virtual interviews with the hiring manager and multidisciplinary team.

3

Formal Offer & Benefits Negotiation

Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.

4

Onboarding & Corporate Integration

Equipment provisioning, team orientation, and commencement of duties.

United Kingdom Right to Work & Skilled Worker Visa Guide

Corridor Intelligence

Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:

🇬🇧 Skilled Worker Visa (Tier 2)

Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (£38,700) or occupation going rate.

🏛️ Settlement (ILR) Pathway

Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.

⚖️ Official regulatory reference: UK Visas and Immigration (UKVI) & Home Office Sponsor Register.

Candidate Preparation Blueprint: Data Analytics

Recruitment Insights

Based on transatlantic hiring benchmarks for Senior Data Analyst (f/m/x) roles across exmox's corporate sector, successful applicants typically excel across three core dimensions:

1. Domain Competency

Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Data Analytics.

2. Behavioral & Leadership

STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.

3. Compensation Alignment

Total compensation expectation aligned within the benchmarked Salary Disclosed on Application bracket, including retirement vesting and health parity.

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Location: Hamburg
Eligibility: EU Blue Card / Chancenkarte Eligible
Schedule: Experienced
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