Logistics Analytics Intern – Data-Driven Ops (Rotterdam, Hybrid)

Hunter-Douglas---Talent-Programs

Rotterdam

Hybrid

EUR 5,600 - 8,900

Part time

2 hours ago
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Benefits offered by this job

Hybrid work
Monthly allowance €650

Job summary

Hunter Douglas in Rotterdam, Netherlands offers a Logistics Internship focused on supply chain analytics. You will analyze transport activity across European operations, build performance data, and identify opportunities to reduce freight costs while contributing to the FY27 logistics roadmap.

The role requires pursuing an HBO, Bachelor’s, or Master’s degree in business, supply chain, or related fields, with strong Excel and data skills and fluency in English.

Qualifications

  • Strong analytical and quantitative thinking.
  • Experience working with large or incomplete datasets.
  • Good understanding of Excel and data analysis.
  • Fluent in English; Dutch a big plus.

Responsibilities

  • Build and validate a historical shipment database for Mermet EU and Hunter Douglas Scandinavia.
  • Analyze transport activity, freight spend and service performance.
  • Define and calculate KPIs covering freight cost and carrier performance.
  • Identify cost and service drivers across lanes, carriers and shipments.
  • Quantify improvement opportunities and develop data-backed business cases.
  • Help create and present the FY27 transport improvement roadmap to logistics leaders.

Skills

Analytical thinking
Data analysis
Excel
English communication
Problem solving

Education

HBO
Bachelor’s degree
Master’s degree

Tools

SQL
Data visualization tools
Data modelling

Job description

Hunter Douglas in Rotterdam, Netherlands offers a Logistics Internship focused on supply chain analytics. You will analyze transport activity across European operations, build performance data, and identify opportunities to reduce freight costs while contributing to the FY27 logistics roadmap.

The role requires pursuing an HBO, Bachelor’s, or Master’s degree in business, supply chain, or related fields, with strong Excel and data skills and fluency in English.

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