Supply Chain Planning Intern

09 set - Italia
Biotecnologie - Farmacia - Chimica

Your Tasks
We are looking for a highly motivated and analytically driven Supply Chain Trainee to join our team in Milan .
This is a unique opportunity to work at the intersection of operations, data, and digital innovation, supporting the automation and structuring of key operational activities across Customer Service, Logistics, and VAS (Value-Added Services).
The trainee will play an active role in improving existing processes and designing new ones, also in preparation for upcoming regulatory requirements, contributing to the digital evolution of a fast-growing international organization.
Key Responsibilities
Analyze and map current operational processes across Customer Service, Logistics and VAS
Identify inefficiencies and automation opportunities in daily operations
Support the design and implementation of automated workflows and tools (e.g. using Power Automate)
Develop and maintain data models and dashboards (Excel, Power Query, Power BI)
Contribute to the creation of new processes aligned with regulatory and compliance requirements




Collaborate with cross-functional teams (Supply Chain, Sales, IT)
Support continuous improvement initiatives and digital transformation projects
Provide data-driven insights to optimize service levels and operational performance
Your Profile
About to graduate in a scientific field (e.g. Engineering, Mathematics, Data Science, Economics with strong quantitative focus)
Strong analytical mindset with a structured problem-solving approach
Passion for technology, innovation, and process automation
Able to sign a curricular internship
Good understanding or strong interest in:
AI and data-driven tools
Power Automate / Microsoft Power Platform
Excel (advanced) and Power Query
Power BI or data visualization tools
Curious, proactive and willing to take ownership
Strong team player with excellent communication skills
Fluent in English (written and spoken)
What we offer
A dynamic and international working environment
Exposure to end-to-end Su

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