Senior Data Analyst

We are seeking a highly skilled Senior Data Analyst to lead advanced analytics initiatives, transform complex datasets into actionable insights, and support strategic decision-making across the organization. We are looking for a candidate who combines strong analytical capability, business acumen, and the ability to partner across the organization.

Join us at the forefront of data-driven innovation, where machine learning meets real-world impact. On our Fleet Management System (FMS) side, you’ll work with large-scale data to build models that analyze driver behavior, helping prevent accidents, improve safety, and optimize fuel efficiency. This is a great opportunity for curious minds eager to grow in data science, develop practical ML skills, and turn big data into meaningful solutions.

Responsibilities

Data Analysis & Insights
  • Collect, analyze, and interpret large, complex datasets to identify trends, patterns, and opportunities
  • Develop dashboards, reports, and visualizations to enable self-service analytics across the business
  • Monitor key performance metrics and proactively identify deviations or emerging trends
  • Conduct deep dive analyses to support product strategy, operations, and executive ‑dive analyses to support product strategy, operations, and executive decision making
Data Modeling & Advanced Analytics
  • Build and maintain statistical models, forecasting tools, and predictive analyses
  • Apply advanced analytical techniques (regression, clustering, time‑series analysis, etc.) to solve business problems
  • Collaborate with data engineering and product teams to structure data models for scalable analysis
Stakeholder Collaboration
  • Act as a strategic partner for product, operations, finance, and leadership teams
  • Translate business questions into analytical frameworks and measurable KPIs
Data Quality & Governance
  • Ensure data accuracy, consistency, and integrity across all reporting and analytical outputs
  • Influence data governance standards, documentation, and best practices
  • Work closely with engineering to define data requirements and improve pipelines and data structures
Mentorship & Leadership
  • Provide guidance, coaching, and support to junior analysts.

Requirements

  • Strong experience in data analysis or business analytics roles
  • Strong proficiency in SQL and at least one analytics programming language (Python or R)
  • Expertise with data visualization tools (Power BI, Tableau, or similar)
  • Solid understanding of statistical methods and analytical modeling
  • Experience working with large datasets and cloud data platforms (Azure, AWS, or GCP)
  • Exceptional communication skills with the ability to translate data into actionable insights

Bonus Knowledge:
  • Experience in product analytics, fleet management systems, telematics, or mobility platforms
  • Familiarity with experimentation frameworks (A/B testing, causal inference)
  • Knowledge of ETL/ELT processes and collaboration with data engineers
  • Experience with machine learning tools or MLOps basics

Benefits

We care about your well-being and professional growth. Here’s what we offer to make your experience with us truly rewarding:

Work-Life Balance: Enjoy flexible hours, the option to work from home, 5 weeks of vacation, 3 health days, and an extra day off to celebrate our company’s anniversary.

Benefits Package: Contribution to flexible benefits (Benefit Plus) that you can use for things like technology, multi-sport card, beauty, sports, travel, health services, or even pension contributions.

Rewards & Development: Earn up to 1000€ for referring a new colleague, access over 5,000 courses, join online language lessons, and enjoy performance-based bonuses. You’ll also have a personal budget to choose courses or conferences that help you grow professionally.

Supportive Environment: Take a day off to volunteer, use our free anonymous psychological counseling service, and enjoy access to our company’s products.

Modern Workplace: Work in a comfortable office with ergonomic furniture, a sunny summer terrace, and plenty of perks like free coffee, tea, and fresh orange juice every day. Our office is pet- and kid-friendly, has no dress code, and offers a discounted on-site restaurant. You can also park nearby at a discounted rate.

Community & Well-Being: Join in on philanthropy projects, where you can support a charity or non-profit organization of your choice with company-matched donations. Have fun at our team-building events, hackathons, Christmas parties, or summer celebrations.

Diversity & Inclusion: We’re committed to creating a workplace where everyone feels welcome, with fair recruitment practices that offer opportunities to all.

See also

Data Analytics jobs by country — openings, pay and top skills →

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