Job
- Level
- Senior
- Ort
- Hamburg
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
Job Zusammenfassung
In dieser Position analysierst du kontinuierlich hochfrequente Daten mit Claude und Databricks, entwickelst strukturierten Hypothesen aus geschäftlichen Fragen und baust Dashboard-Tools für datengestützte Entscheidungen.
Job Technologien
Deine Rolle im Team
- 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.
- 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.
Unsere Erwartungen an dich
Qualifikationen
- 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.
Erfahrung
- 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.
Unser Angebot
- 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!
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
exmox GmbH
Die exmox GmbH mit Sitz in Hamburg unterstützt mobile Spielepublisher dabei, Nutzer zu gewinnen und langfristig an sich zu binden. Durch eigene belohnungsbasierte Apps und Kampagnen schafft das Unternehmen eine Verbindung zwischen Nutzern und Mobile Games und fördert so Engagement, Retention und den Customer Lifetime Value.
Description
- Unternehmenstyp
- Startup
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Senior Data Analyst
- Ort
- Hamburg
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
