If you are a current DSV employee and interested in a position in another country, please contact your Human Resource representative to discuss the process and requirements of applying.
Job Req Number: 90331
Time Type: Full Time

AN ANALYTICAL TALENT WITH A PASSION FOR SUPPLY CHAIN MANAGEMENT

The typical candidate holds a master’s degree in the fields of supply chain management, transport and logistics, operations research, or another relevant field and has experience working with network, transport, or inventory optimisation. The right candidate is a team player with a strong drive, takes initiative and thrives in a changing environment with an acute sense of detail and a motivation towards understanding and solving customers’ supply chain challenges.

We are looking for a candidate with the following qualities:

• You have 3+ years of experience from a similar position
• You have experience with inventory, transport or network optimisation
• You have great analytical skills
• You are a superuser in Excel and PowerPoint
• You have experience in doing data analysis in a scripted language, preferably python
• You have excellent communication & stakeholder management skills
• You speak and write English fluently
• Familiarity with optimisation theory and location modelling is an advantage

WANT TO KNOW MORE AND APPLY?

We will be happy to answer any questions you may have regarding the position and about your opportunities in DSV. You are welcome to call Anton Fourie, Director, Supply Chain Optimisation, on +45 25 41 65 00.
As part of your application, please include: 1) your CV, 2) a cover letter shortly explaining your motivation as well as how you cover above qualities and 3) transcripts of your academic record.
We look forward to receiving your application via the link below as soon as possible. We will process the applications as we receive them.

• Manage and execute optimisation projects with existing and potential customers
• Be the subject matter expert on network and transport optimisation
• Take responsibility for analytical work related to customer projects
• Present complex analytical results in a simple, clear, and concise fashion
• Help translate analysis results into tangible action
• Help define and develop new data analysis tools and service