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Hunter Douglas is seeking a Supply Chain Performance Reporting Intern in Rotterdam, Netherlands, starting February 2027. The internship spans at least 6 months within the Supply Chain Finance team, offering hands-on data work, Excel and Power BI training, and exposure to AI-driven reporting.
You will organize data across EMEA plants, build Budget vs Actual reports, and collaborate with FP&A, Plant Finance, and Operations. The role emphasizes data quality, automation, and stakeholder engagement.
Location: Rotterdam, Netherlands
Duration: Internship (minimum 6 months)
Hunter Douglas is the global market leader in window coverings and architectural products. With a strong focus on innovation, operational excellence, and collaboration, we are committed to delivering high-quality solutions while continuously improving how we work across our global supply chain.
We are looking for a Supply Chain Performance Reporting Internto join our Supply Chain Finance team.
In this role, you’ll work with real plant and performance data, help improve how we track results across selected EMEA plants, and build practical reporting solutions for Finance and Operations. You’ll gain hands‑on experience with Excel, Power BI, data automation and AI, while working closely with teams across the business. This internship will begin in early February 2027.
Organise and structure plant, entity, product group and unit-of-measure data for selected EMEA plants
Combine actual and forecast data with Budget 2027 plant-volume assumptions
Track data sources and identify missing information, duplicates and mapping issuesBuild monthly Budget versus Actual performance reporting
Analyse volume, productivity, labour and selected cost drivers
Automate recurring management reporting, such as plant scorecards or standard PowerPoint reportingExplore the use of AI-assisted commentary to support Finance reporting
Support the monthly reporting cycle and help improve the overall reporting processDocument reporting processes, limitations and handover steps
Collaborate with Supply Chain FP&A, Plant Finance, Operations and other data owners
Comfortable working with Excel and large sets of data
Interested in Power BI, data automation and AI
Comfortable working with incomplete or imperfect data