Business Analyst, AI Fashion Planning

FashionUnited; Aarhus; On-site; DKK 410,447 - 559,701; Full time

Job summary

FashionUnited is seeking a skilled Business Analyst for the AI Fashion Planning team in Aarhus. Join us to revolutionize fashion with machine learning solutions, focusing on supply chain planning and data-driven innovation.

You'll collaborate closely with data scientists and stakeholders, driving the adoption of impactful planning processes and creating dashboards for informed decision-making in one of the largest fast fashion companies.

If you're passionate about shaping the future of fashion through technology, apply by July 14, 2026.

Qualifications

• Experience as a planner or supply chain specialist.
• Interest in data science and technology adoption.
• Ability to present insights effectively.

Responsibilities

• Foster collaboration between data scientists and stakeholders.
• Drive data analysis for product improvements.
• Create visualizations and dashboards for decisions.

Skills

Data analysis

Change management

Supply chain planning

Communication skills

Job description

Join BESTSELLER TECH and revolutionize fashion with machine learning!

Do you want to be part of shaping the future of fashion? BESTSELLER TECH is looking for a skilled and dynamic individual to join our AI Fashion Planning team as a Business Analyst.

Become a part of our mission to drive data-driven fashion innovation. Your key to success in this role is your passion for supply chain planning and your ability to understand our planners’ processes and their ways of working to ensure new technology can be embedded and taken up by them.

YOUR TEAM

By joining our AI Fashion Planning team, you will be at the forefront of developing state-of-the-art machine learning solutions for some of BESTSELLER’s most strategically important projects within demand planning and inventory optimisation.

YOUR ROLE

As the Business Analyst in our AI Fashion Planning team, you will be fostering close collaboration between data scientists, the product owner, and stakeholders to prioritize and develop the most impactful solutions. You will focus on ensuring that machine learning products developed by the team are fully embedded in user workflows, driving adoption and value realization. Furthermore, your tasks will include:

• Designing next-level planning processes and solutions in close collaboration with data scientists and planners
• Working closely with our de-centralized planning organisation in the brands to drive change and adoption of our solutions
• Driving data analysis and help derive key metrics for product improvement
• Supporting the team and stakeholders with demand planning and inventory management expertise and knowledge of best practices
• Creating visualizations, dashboards, and presentations to support data-driven decisions.

YOUR BENEFITS

• You will be working in one of the world’s largest fast fashion companies, and our AI Fashion Planning team is at the forefront of innovation.
• We believe in empowering our team members to explore new ideas, solve complex challenges, and make a real impact.
• You will be part of a vibrant, supportive environment with passionate colleagues and plenty of opportunities to grow your career.

YOUR PROFILE

This role is perfect for someone with real-life experience as a planner or supply chain specialist with a passion for data science and change management. In addition, we hope that you have one or more of the following:

• Experience in driving product adoption within user communities
• A good understanding of data analysis, interpreting and presenting insights
• Strong communication and people skills, bridging the gap between technical teams and business stakeholders.

READY TO MAKE A DIFFERENCE?

If you’re excited by the opportunity to shape the future of fashion through machine learning solutions, we’d love to hear from you! Apply today or no later than July 14 2026, and join us on our journey to transform the industry.

If you have questions about the position, you are welcome to reach out to Mathias Fisker on [phone]. We review applications on an ongoing basis and reserve the right to take down the advert when we find the right candidate.

WORKPLACE

This role is based out of our Aarhus office.