Logistics Route Planner — Student Assistant (Part-Time)

Arla Foods; Denmark; On-site; DKK 165,000 - 220,000; Part time

Job summary

Arla Foods in Denmark is seeking a Student Assistant for the Inbound Route Planning team in Viby. The role offers 10–15 hours per week during studies and involves supporting daily transport planning and analysis within a busy dairy network.

You will work closely with planners, drivers and external partners, travel to sites as needed, and contribute to process improvements through digitalization and AI. Ideal candidates are enrolled in relevant master’s or final-year programs and fluent in Danish

Qualifications

• Enrolled in a Master's programme or in the final year of a Bachelor's degree within Supply Chain, Logistics, Engineering, Business Intelligence, Data Science or a similar field.
• Have at least one year remaining of your studies.
• Fluent in Danish and English.
• Structured and proactive approach to work.

Responsibilities

• Support daily operations in Inbound Route Planning.
• Handle incoming calls and enquiries from drivers, dairies and external partners.
• Assist planners and the operational team with day-to-day tasks.
• Follow up on operational activities and support reporting processes.
• Support data analysis and optimisation initiatives when relevant.
• Participate in projects and development initiatives across the organisation.
• Prepare reports, presentations and support material for the team.

Skills

Problem solving

Communication

Independent working

Education

Master's program or final year Bachelor's in Supply Chain / Logistics / Engineering / BI / Data Science

Job description

Arla Foods in Denmark is seeking a Student Assistant for the Inbound Route Planning team in Viby. The role offers 10–15 hours per week during studies and involves supporting daily transport planning and analysis within a busy dairy network.

You will work closely with planners, drivers and external partners, travel to sites as needed, and contribute to process improvements through digitalization and AI. Ideal candidates are enrolled in relevant master’s or final-year programs and fluent in Danish