Intern Global Distribution

Key facts

What you bring

• Interest in AI, digital tools, data analytics and process improvement
• Experience with, or willingness to learn, Power BI and Microsoft Power Platform tools
• Basic knowledge of supply chain, logistics or business processes
• Strong MS Office skills, structured problem-solving and clear communication
• Ability to work independently and in a team
• Fluent in English (written & spoken)

Your tasks

• Grow Your Capabilities Through Meaningful Tasks & Projects
• Support the exploration of emerging technologies, AI applications and digital innovation opportunities to identify practical solutions for Global Distribution Excellence challenges
• Contribute to the design, testing and enhancement of digital products and analytics solutions by gathering requirements, mapping business processes, validating functionality and collecting user feedback
• Support the maintenance and evolution of GDE standards, playbooks, dashboards and knowledge assets, helping improve governance, transparency and adoption across the global distribution network

What they offer

• Become part of an international community where sport, innovation and personal growth come together
• Learn about our adidas culture that values and celebrates collaboration, courage and curiosity
• Employee discount on adidas products
• Different sport offerings and office events
• Flexible and hybrid working arrangements (up to 40% home office possible)
• Monthly gross salary of CHF 3.000,00

About the role

Step into the world of global supply chain at adidas - where your internship makes a real impact! Join us for an exciting internship opportunity at our Global Supply Chain Management Headquarter near Lucerne, where around 150 employees collaborate across key Supply Chain functions. In the Global Distribution Excellence Standards & Governance team, we shape and continuously improve global standards, frameworks and digital solutions across Distribution Centers and Outbound operations. During this internship, you will support the development of practical, scalable tools and explore how AI, analytics and governed knowledge can improve operational decision-making.

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