Senior Data Analyst
Eurowag Senior Data Analyst
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
- 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
- Act as a strategic partner for product, operations, finance, and leadership teams
- Translate business questions into analytical frameworks and measurable KPIs
- 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
- 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.