Internship - Business Intelligence
Rotterdam - Weena 455
Unilever
At Unilever we meet everyday needs for nutrition, hygiene and personal care with brands that help people feel good, look good and get more out of life.During this internship you will gain insights into how one of the world’s largest FMCG companies is run from a Business Intelligence perspective.
You’re part of Unilever’s Information & Analytics team and will be exposed to great variety of analytical problems within the areas of Supply Chain, Sales and Finance. Expect to work end to end, so from crunching data to communicating insights to the stakeholders in the Unilever organization.
Your key responsibilities (amongst others) include:
● Solving analytical problems end to end: crunching data, modeling data, visualizing data,
gaining insights and communicating these insights to the relevant stakeholders;
● Learning (and potentially teach) Advanced Excel, Power Pivot, Power BI and Python;
● Optimizing and manage Power BI reporting;
● Setting up Microsoft Azure product infrastructure (Databricks, AAS etc.) as well as the
development of potential Machine Learning algorithms.
What we offer:
• An internship allowance of € 625,- gross per month;
• A travel allowance if you don’t have a student travel card;
• An exciting internship program with your fellow interns, such as an onboarding event and fun (virtual) activities;
• The possibility to develop your personal and business skills via our extensive range of training programmes;
• A flexible way of working;
• A unique opportunity to look behind the scenes of one of the largest FMCG companies in the World!
What we ask:
• You are available for 5 or 6 months from February 2025 (at least 32 hours a week);
• You are registered at a Bachelor (4thyear) or a Master program in Economics, Econometrics, or Data Science;
• Experience with coding (DAX, Python, R, SQL) and analytical software (Excel, Power BI) is a plus;
• Fluent in English; both oral and written
Tags: Azure Business Intelligence Databricks Econometrics Economics Excel Finance Machine Learning Power BI Python R SQL
Perks/benefits: Career development Flex hours
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