Data analyst in consumer goods

You will be part of the Analytics team within our Revenue Growth Management practice, based in our Amsterdam office. You’ll join a rapidly growing group applying data science and advanced analytics to real-world business challenges across a variety of industries—delivering measurable and lasting impact for our clients.

• Framing business problems and designing, implementing, and scaling analytical solutions
• Applying advanced modeling techniques, including machine learning (e.g., regression, time series, xgboost, neural networks)
• Writing optimized code to enhance our internal Data Science Toolbox
• Translating data into actionable insights for clients and internal teams
• Collecting, analyzing, and interpreting marketing, commercial, and operational data
• Developing and validating hypotheses using quantitative methods
• Contributing to client deliverables and participating in presentations
• Collaborating closely with colleagues and stakeholders across disciplines

• Skilled in Python (required)
• Experience with machine learning and advanced modeling techniques
• Proficient in Microsoft Excel and PowerPoint
• Strong mindset for turning data into actionable business insights
• A self-starter who is structured, adaptable, and both strategic and hands-on
• Comfortable working independently and in cross-functional teams
• Clear communicator able to explain complex ideas simply and convincingly
• Demonstrated leadership through academics or extracurricular activities
• Fluent in English
• Currently enrolled in a Master’s (preferred) or a Bachelor's program in: Computer Science, Data Science, Statistics, Operations Research, Econometrics, or a related quantitative field
• Enrolled at a Dutch university for the full duration of the internship and eligible to work in the Netherlands
• Available full-time (40 hours/week) starting November / December 2026 for 6 months
• Able to work from our Amsterdam office at least 3 days per week
• Будет плюсом: experience with any other language is a plus; Bonus: familiarity with Streamlit, Dash, or similar visualization frameworks

• A competitive internship allowance
• 15 days of paid leave (pro-rata based on internship duration)
• Bi-monthly team events and an annual company retreat
• Access to mentorship, resources, and learning opportunities to support your growth
• A young and dynamic team where your contributions matter