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Svitzer A/S is seeking a Student Assistant in Data & Analytics at our Head Office in Copenhagen. You will help build dashboards and insights across a global maritime business, gaining exposure to a modern data platform and cross‑functional collaboration.
You’ll work 15–20 hours/week with flexible hours, in an English‑speaking environment, contributing to both global and local analytics initiatives and training efforts while developing professionally from day one.
Are you studying data, analytics, or business and want hands‑on experience with a modern data platform in a global company? Svitzer has a student position in an international setting where you can keep developing professionally and personally.
As a Student Assistant in the Data Platform & Insight team, you'll help build and improve the dashboards and analytics solutions that colleagues across a global maritime business use every day and help more people get value from our data.
Svitzer has 4,400 colleagues and 510 tugboats in 35+ countries, and it provides marine services that make ports and terminals safer, more efficient and more climate friendly.
We are building a unified data platform to support better decisions, operational efficiency, and digital innovation.
You will work in a role where data, business, and technology meet, and your work will be visible across the organization.
The role is based at our Head Office (HQ) in Nordhavn in Copenhagen, in the central Data Platform & Insight team.
We are a lean team with a flat structure, so you will have real independence to shape your role and make an impact from day one.
Svitzer HQ has a strong student community, with social events and regular lunches together.
Your hours are flexible, especially around exams. On average, we expect you to work 15–20 hours per week.
You thrive in a busy, dynamic environment and are motivated by the international scope of our business.
You already reside in Denmark and have a valid visa- and work permit (this is a must).
You are in the 3rd year of a bachelor's degree, or taking a master's degree, in Data Science, Business Analytics, Information Systems, Computer Science, or a similar field.
You have experience with Power BI or similar tools, and strong Excel skills.
SQL, DAX or Python skills are a strong plus.
You have a genuine interest in data, dashboards and data visualization, and in how they create business value.
You are curious and self-driven, and you bring energy and a structured, analytical approach to your work.
You enjoy taking ownership and seeing tasks through to the end.
You stay organized when you are handling several requests at once, and you like keeping others informed.
You think about the user first, and you're motivated by making solutions that people actually use.
You enjoy explaining data in simple terms and helping others build their skills through training and guidance.
You enjoy taking ownership and see tasks through to the end.
Relevant work experience, for example from a previous student job, is an advantage.
You thrive in a busy, dynamic environment and are motivated by the international scope of our business.
Our working language is English, so you must be fluent in written and spoken English.
Danish is a plus but not a requirement.
26 October 2026.
For more information about the position, contact Jonas Aagaard Quist, Head of Data Platform and Cloud Services, at jonas.aagaard.quist@svitzer.com.
In Svitzer we value the diversity of our talent and will always strive to recruit the best person for the job – we value diversity in all its forms, including but not limited to gender, age, nationality, race, sexual orientation, disability, or religious beliefs.
We are proud of our diversity and see it as a genuine source of strength for building high performing teams.
Don’t meet every single requirement? Studies have shown that members from some under‑represented groups are less likely to apply for jobs if they don’t meet every single qualification. At Svitzer we are dedicated to building a diverse and inclusive workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification. We encourage you to apply anyway.