Senior Data Analyst (all genders) - Business Partnering

Sorry, this job was removed at 04:09 p.m. (CST) on Tuesday, Feb 17, 2026
Munich, Bayern, DEU
In-Office
Artificial Intelligence • Information Technology • Software
The Role

As a Senior Data Analyst (all genders), you partner with teams across the company by providing data-driven insights and analytical expertise to inform decisions. You combine strong analytical and technical skills with business understanding and work closely with stakeholders on complex, high-impact questions.

You are part of our central Analytics team, but your day-to-day work happens primarily in close collaboration with other teams. Depending on the situation, you deliver hands-on analyses, enable teams to work effectively with data in a sustainable and scalable way, or lead deeper analytical work where additional focus is required.

What to expect
  • Analytics Business Partner: You are the primary analytics counterpart for one or more departments. You translate business questions into analytical approaches, challenge assumptions and KPIs, and deliver clear, decision-oriented insights.

  • Data & Modeling Excellence: You collaborate closely with Analytics Engineers to develop and maintain dbt models and ensure a reliable, consistent data foundation.

  • Dashboards & KPI Steering: You design dashboards and reports with stakeholders, ensure KPIs are meaningful and correctly implemented, and take ownership of relevant content in Metabase.

  • Analytics Initiatives: You contribute to company-wide analytics initiatives such as analytics standards, data operations improvements, self-service enablement, and data education.

Inspire us by
  • Background & Experience: 4+ years in data analytics with direct stakeholder responsibility; experience in scale-up, tech, or consulting environments is a plus. Ideally you are an expert in at least one business domain (e.g. Commercial, Operations, Finance, Product) and bring a clear point of view on KPIs and decision-making.

  • Technical Skills: Very strong SQL; experience with BI tools, dbt, and Git. Python is a plus.

  • Analytical & Communication Strength: Strong analytical thinking, able to structure ambiguity, communicate clearly across audiences, and deliver pragmatic, high-impact insights that are applied in practice.

  • Mindset & Collaboration: Proactive, opinionated, and comfortable taking ownership in ambiguous situations; you challenge the status quo and work closely with Analytics Engineers, Data Scientists, and business teams.

  • Language: English at C1/C2 level; German is a strong plus.

What we offer
  • Flexibility & Responsibility: Your workday, your performance – Our hybrid model empowers you to focus from home, get fresh perspectives during workation, and connect in person during our Anchor Days (Tuesday to Thursday)

  • Tailored Mobility: Full speed ahead – Whether it’s sustainable bike leasing or a public transport subsidy, we keep you flexible and on the move

  • Ownership & Autonomy: Your impact, your results – Take full ownership of your area and your KPIs

  • Team Culture & Networking: Real connections – also beyond the day-to-day. Celebrate successes with us at legendary team events and OKR parties

  • Productive Environment: Brainfood deluxe – Whether it's portafilter coffee, Bella&Bona online cafeteria, fresh fruit or our muesli bar – your wellbeing fuels your performance

  • Health & Balance: Stay in balance with EGYM Wellpass or Urban Sports Club – access 1,000+ gyms and wellness spots across Germany

  • Top Equipment & Ergonomics: Mac or Windows, in the office or remote – we make sure you’re set up for efficiency and comfort

  • Dress Code? Your Code: What you do matters more than what you wear – dress in whatever makes you feel your best

Innovation through diversity

Regardless of your background, origin, gender identity, or individual circumstances, it's your personality that interests us. That's why we're committed to building a culture of collaboration and respect, where every team member has a voice, can grow, and feels valued with us.

Still here?

Then we could be a perfect match!

The best way to apply is through our application portal. This ensures your application goes directly to our team, allowing us to review it quickly and easily.
If you have any questions, feel free to contact Elisa Fürter at [email protected].

Ready to own (y)our growth?

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The Company
HQ: München
234 Employees
Year Founded: 2019

What We Do

Wemolo is shaping the future of digital parking through AI-based licence plate recognition. Our two solutions, monitoring and management, enable the efficient use of parking spaces by optimising utilisation and administration. Since 2019, Wemolo has transformed parking on over 2.000 properties. Every day, more than 200 employees in our six European offices focus on enabling seamless parking.

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