Logistics Engineer (Freight Analytics & Optimization)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Logistics Engineer (Freight Analytics & Optimization): Managing freight spend visibility, lane-level analytics, and carrier performance across APAC and EMEA networks with an accent on data-driven cost optimization and operational discipline. Focus on building robust reporting dashboards, ensuring trade compliance, and driving continuous improvement in transportation efficiency.
Location: Must be based in Venlo, the Netherlands (Hybrid role)
Company
Inc. is a global leader in intelligent connectivity solutions, connecting people, information, and ideas to solve complex challenges.
What you will do
- Build and maintain freight spend visibility and lane-level analytics across all transportation modes using BI, TMS, and ERP data.
- Convert freight data into actionable optimization opportunities such as lane consolidation, mode shifts, and load factor improvements.
- Support carrier and forwarder governance through KPI monitoring, scorecards, SLA tracking, and QBR preparation.
- Enable digital reporting and data discipline by improving dashboards, automated reporting, and exception alerts.
- Strengthen risk, trade compliance, and ESG visibility by monitoring invoice accuracy, documentation, and freight emissions.
Requirements
- Bachelor’s degree in Supply Chain or Logistics required.
- 3–5 years of experience in freight, logistics, or supply chain analytics.
- Fluent English (written and spoken) is required.
- Strong analytical skills with the ability to build cost-driver models and KPI dashboards.
- Working knowledge of international freight modes, Incoterms, and trade basics.
- Ability to partner across regions and time zones for stakeholder management.
Nice to have
- Experience with TMS/ERP systems, specifically SAP S/4HANA.
- Familiarity with freight audit processes and RFQ/RFP support.
- Knowledge of AEO / C-TPAT trade compliance requirements.
Culture & Benefits
- Opportunity to work within a global community focused on intelligent connectivity.
- Collaborative environment with exposure to diverse regional perspectives.
- Focus on professional growth and shaping the future of industrial digitization.
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