- Location
- Netherlands
- Last Published
- Jun. 18, 2026
- Sector
- Retail
- Function
- Data Science
Every year, billions of clothing items are produced but never sold. Much of this unworn fashion ends up in landfills – a massive waste of creativity, craftsmanship, resources, and investment. We're here to change that. As a purpose-led company, we use technology to help fashion brands give every item a chance to be worn. And we’re proud to be a certified B Corp – recognised for meeting high standards of social and environmental impact, transparency, and accountability.
How we work
We’re a purpose-driven scale-up, based in Amsterdam and active across Europe, with a diverse and international team. Our mission is simple: sell unsold inventory. Otrium values a healthy work-life balance. We have adopted a flexible hybrid way of working, encouraging our team members to come to our open, spacious, plant-filled Amsterdam HQ at the waterside of Houthavens at least twice a week. Full-time office presence is welcomed, and you’re empowered to organise your schedule in a way that works for you and the team.
Your impact
As our Data Analytics Intern at Otrium, you will play a key role in ensuring that every decision at Otrium is driven by data. You will be a part of the growing Data and Analytics team and work on improving the data platform, building dashboards, and answering complex questions about our customers and our business.
- Enrolled in a Bachelor's or Master's degree for the duration of internship
- Available from September until January for 32 - 40 hours per week
- Living within a 1-hour one-way commute from our Houthavens office (ideally)
- Flexible, curious, open-to-learn, tech-savvy, open for a challenge... with a great sense of humour!
- Fluent in English (other languages are a plus!)
Develop robust data analytics solutions according to business requirements or proactively support a variety of stakeholders make data-driven decisions
Leverage analytics & machine learning to answer complex questions about our customers and our business
Identify & resolve technical, performance and data issues with the data platform together with our data engineers
Enhance our reporting platform (Omni), improve our dbt data model, create dashboards with actionable insights & provide recommendations to teams
Challenge various teams on metrics/KPIs, develop improved metrics and identify process improvement opportunities