Logistics Network & Capacity Planning Expert

About the role

This position develops fact‑based logistics network and capacity solutions for international operations. It combines network modelling, demand and throughput analysis, facility sizing, and business‑case development to support scalable service, cost, and investment decisions.

Key responsibilities

• Conduct network studies covering distribution footprints, transport flows, inventory positioning, service levels, and cost impacts; model alternative scenarios such as consolidation, expansion, greenfield locations, cross‑dock solutions, and outsourcing.
• Develop demand, throughput, storage, resource, and facility‑capacity forecasts; identify constraints, risks, and trigger points for investment or operational change; support warehouse sizing and future‑state operating models.
• Build robust analytical models using operational, commercial, and financial data; assess CAPEX, OPEX, productivity, service, and ROI impacts; present concise, decision‑ready recommendations to senior stakeholders.
• Collaborate with operations, transport, finance, IT, procurement, consultants, and international country teams while maintaining model transparency, data quality, assumptions, and scenario documentation.

Required profile

• Degree in Logistics, Supply Chain Management, Industrial Engineering, Data Analytics, Operations Research or related field.
• Minimum 5 years of experience in logistics network design, capacity planning, supply‑chain consulting or logistics engineering.
• Strong capability in scenario modelling, forecasting, and data validation; commercial understanding and proven ability to turn analysis into practical recommendations.
• Project‑management experience in international, cross‑functional environments; proactive, solution‑driven mindset.
• Fluent English (written and spoken) with strong communication skills and readiness for international travel.

Required skills

• Advanced Excel
• Network optimization and simulation tools
• Business Intelligence (BI) platforms
• Database tools
• Artificial Intelligence (AI) – initial experience preferred