Supply Chain Planning Intern

The story of Cartier is founded on audacity and passion. For more than 170 years we have embraced a bold, pioneering spirit that continues to inspire our teams across all Métiers from our boutiques to our workshops and corporate offices. Our 9000+ colleagues of 105 nationalities are united by a shared independent spirit and commitment to excellence, striving to continuously enrich our Maison’s heritage by pushing the boundaries of creativity.
End of studies internship with school agreement
Duration: 6 months minimum
Location: 1752 Villars-sur-Glâne, Switzerland
Context:
The objective of this internship is to enrich your academic background with a stimulating professional experience in an international environment.
How will you make an impact?
In our Supply Chain department in charge of the distribution of finished goods, you will be part of a highly established team and you will contribute to the following missions:
Carry out business analysis for the definition and implementation of the supply strategy to ensure optimum stock level, challenge forecast and loops with all stakeholders,
Collaborate with markets, marketing and external supplier on their problematics,
Create reporting and maintain existing reports, particularly under Power BI or Anaplan
Participate in continuous improvement projects related to the department activity
Your profile
You are in your last year master’s degree in engineering with a Supply Chain focus.
You have advanced skills in Excel and/or experience with Power BI.
You have robust analytical skills, and you easily analyze and work with Data and Information Systems.
You are organized, autonomous and reliable.
You have a very good command of French and English.
How do we keep you smiling?
You will be a part of a dynamic and international work environment, where we always go the extra mile to uphold outstanding service for our clients
Your journey with us
If your application is selected, we will reach out to you ASAP for an informal introductory call. The next step will be an introductory call with one of our Data Scientists, followed by a technical interview and a business case.