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Supply Chain Planning Intern
Beiersdorf
Source: Headcount Labs · original listing ↗
Job data: Headcount Labs, ODbL 1.0. Job descriptions belong to their employers.
Posted Oct 27
About this role
At Beiersdorf, we want to help people feel good about their skin – and our commitment goes far beyond caring for skin. For 140 years, we have developed innovative skin and body care products for well-known brands such as NIVEA, Eucerin, La Prairie, Hansaplast, and Labello. We act according to our purpose, WE CARE BEYOND SKIN, and take responsibility for our consumers, our employees, the environment and society. Behind every brand, every product and every accomplishment are our more than 20,000 employees. It is for them that we live an inclusive culture of respect and trust that is strongly aligned with our values – CARE, COURAGE, SIMPLICITY and TRUST. We also embrace diversity by valuing the uniqueness of each individual and being committed to equal opportunities for all. Your Tasks We are looking for an intern to join our Planning Centre of Excellence team and support daily operations during the transition to a new logistics service provider in Germany. If you enjoy working with data, want to understand how supply planning works, and would like to contribute directly to operational decision-making, this is an excellent opportunity to gain hands-onexperience in Supply Chain from the inside. Your Responsibilities: • Supporting the team during the stock transfer to a new warehouse in Germany • Preparing and communicating weekly and monthly reports and presentations • Working with data in Excel and BI tools (e.g. Power BI), including Power Query • Collaborating with planning teams from Germany and production centre Your Profile • Currently pursuing studies in Industrial Engineering, Business Administration, or a related field, preferably with a focus on Supply Chain Management (student status for another 6-12 months is a must) • Initial professional experience gained through internships or working-student positions, preferably in Supply Chain or Analytics • Strong analytical thinking and ability to draw conclusions from data • Strong organizational skills and attention to detail • Very good command of English, both written and spoken; German is an advantage • Availability of at least 30 hours per week, starting from January 2027 Nice to Have: • First experience in data analysis or Supply Chain • Knowledge of Supply Chain processes