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Nestlé – Nespresso in Linda-a-Velha, Portugal, is offering a 12-month Supply Chain Trainee internship in a hybrid setup. You will gain exposure across Demand Planning, Supply Planning and Physical Logistics, supporting end-to-end activities and data-driven improvements.
The role emphasizes learning the Nespresso supply chain, mastering reporting, master data management and daily logistics support, with mentorship from experienced leaders. English fluency and MS Office proficiency are essential.
Location: Linda-a-Velha, Portugal (based in Portugal)
Company: Nestlé – Nespresso
Full-time / Hybrid
12 months internship
Working at Nestlé means that you will join the largest food and beverage multinational in the world. Our purpose is to unlock the power of food to enhance quality of life for everyone, today and for generations to come.
We are looking for a Supply Chain Trainee to integrate the Nespresso HUB direction, in the Supply Chain Excellence team, that provide services worldwide and has several intervention areas: Demand Planning; Supply Planning; Physical Logistics.
The Nespresso story began with a simple but revolutionary idea: enable anyone to create the perfect cup of espresso coffee. Since 1986, Nespresso has redefined and revolutionized the way millions of people enjoy their espresso coffee.
Join us and discover Nespresso!
You will have the possibility to learn End-to-End (E2E) supply chain scope by supporting activities of Demand Planning, Supply Planning and Physical Logistics teams.
Some examples of such support can be improving reporting activities with automations, perform and enhance weekly health check extraction files and KPI's, support more technical processes of phase-in/phase-outs, new products, and limited editions, manage master data and support shipment dispatches and warehouse operations daily management.
You will be supporting continuous improvement and process innovation for all teams with the support of leadership managers of all teams.
You will learn about Nespresso’s supply chain.
Degree inManagement, Supply Chain/Operations, Engineering, Data Science/Analytics or similar
Maximum of 1 year experience
Fluent in English (mandatory)
Proficiency in MS Office Excel and PowerPoint
Programming language (VBA, Phyton, SQL) and PowerBI – preferable