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Senior Data Analyst – Product; fmx

Online/Außer Haus - Idealerweise für Kandidaten in
20038, Hamburg, Hamburg, Deutschland
Unternehmen: exmox GmbH
Fernarbeit/Heimarbeit position
Verfasst am 2026-01-21
Berufliche Spezialisierung:
  • IT/Informationstechnik
    Daten Analyst, Datenwissenschaftler, Data Science Manager
Stellenbeschreibung
Stellenbezeichnung: (Senior) Data Analyst – Product (fmx)

You will become the team's compass for understanding how users move, think and behave across the product. When decisions feel unclear or messy you bring structure. When signals conflict you investigate until the story becomes clear. You help product teams act with confidence by turning open questions into measurable opportunities. Your work guides what we build, how we improve and where we focus next.

What

You Will Do
  • Explore user behaviour to uncover motivations, friction and opportunities for product improvements.
  • Turn vague product questions into experiments, meaningful metrics and clear hypotheses.
  • Build insights that simplify complexity and highlight what truly matters.
  • Partner with product managers and designers to bring clarity to ambiguous problems and support decisions with evidence.
  • Identify gaps in tracking early and help improve the quality of product instrumentation.
  • Create dashboards that allow teams to monitor user behaviour without repeated analysis requests.
  • Share your thinking openly from quick prototypes to final recommendations to help the entire team learn faster.
  • Revisit earlier conclusions as new data becomes available and ensure our decisions stay aligned with actual user behaviour.
Your profile

Experience:

4 years in product user or behavioural analytics with a track record of shaping product decisions through data.

Product and User Understanding:
Deep familiarity with user journeys, funnels, activation, retention, segmentation and behaviour analysis. Comfortable shaping hypotheses from incomplete information and refining them through data.

Analytical

Skills:

Strong problem framing ability to move from open questions to measurable hypotheses and confidence in designing and evaluating A/B tests. Skilled at isolating drivers of user behaviour and identifying impactful opportunities.

Technical Proficiency:
Advanced SQL and experience with Python for analysis and automation. Comfortable working with event data, experimentation frameworks and modern BI tools. Able to produce clean reusable code and maintain a high standard of data quality.

Communication and

Collaboration:

Able to translate complex behavioural insights into clear actionable recommendations. Strong written communication and a structured approach to storytelling.

Work Approach:
Thrives in environments with shifting priorities and ambiguous requirements. Proactive in identifying gaps, raising questions and driving clarity. Curious, adaptable and motivated by measurable improvements in user experience and product outcomes.

Why us
  • Work-Life Balance: 30 days of paid vacation.
  • Commuter Benefits:
    Public transportation tickets provided.
  • Professional Development:
    Annual education budget of 1500.
  • Workation Opportunities:
    Combine work and vacation annually.
  • Wellness:
    Access to over 7000 gyms and spas in Germany through Wellpass.
  • Catering:
    Monthly team lunches, daily fruits, vegetables and a variety of beverages.
  • Flexibility:
    Flexible working hours and hybrid work model.
  • Corporate Benefits:
    Exclusive discounts for major brands and platforms.
  • Diversity:
    Join an international team with diverse cultural backgrounds.
  • Fun and Games:
    Socializing area for relaxing activities during the workday.

    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!

Key Skills
:
Databases, Data Analytics, Microsoft Access, SQL, Power BI, R, Tableau, Data Management, Data Mining, SAS, Data Analysis Skills, Analytics

Employment Type
:
Employee

Experience
: years

Vacancy
: 1

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Stellen-Anforderungen
10+ Jahre Berufserfahrung
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