Warehouse Logistics Engineer - Lean Optimization & Layout

Global Connect Technologies

Benson (MN)

On-site

USD 70,000 - 100,000

Full time

32 hours ago
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Job summary

Global Connect Technologies is seeking a Logistics Engineer – Warehouse to optimize warehouse operations, material flow, inventory, labor utilization, and layouts. The role supports Lean initiatives, capacity planning, and cross-functional collaboration.

The ideal candidate will work on improving receiving, put-away, picking, replenishment, kitting, and shipping, while developing KPIs and performing time studies to drive operational efficiency.

Qualifications

  • Bachelor’s degree in Industrial, Manufacturing, Mechanical Engineering, Supply Chain, or Logistics.
  • Experience in warehouse, logistics, manufacturing, or material handling.
  • Knowledge of Lean, process improvement, and data analysis.
  • Experience with WMS/ERP, SAP/EWM, Power BI, AutoCAD, or Visio preferred.
  • Strong analytical and problem-solving skills.

Responsibilities

  • Optimize warehouse layouts, storage, staging, and material flow.
  • Analyze inventory, labor, capacity, and warehouse processes.
  • Improve receiving, put-away, picking, replenishment, kitting, and shipping.
  • Develop KPIs, conduct time studies, and perform data analysis.
  • Apply Lean, 5S, Kaizen, VSM, Standard Work, and Root Cause Analysis.
  • Support WMS/ERP and SAP/EWM processes.
  • Evaluate material handling equipment and warehouse automation opportunities.
  • Partner with Supply Chain, Manufacturing, Engineering, and Warehouse Operations.

Skills

Lean methodologies
Data analysis
Analytical thinking
Problem-solving

Education

Bachelor’s degree in Industrial/Manufacturing/Mechanical Engineering/Supply Chain/Logistics

Tools

WMS/ERP
SAP/EWM
Power BI
AutoCAD
Visio

Job description

Global Connect Technologies is seeking a Logistics Engineer – Warehouse to optimize warehouse operations, material flow, inventory, labor utilization, and layouts. The role supports Lean initiatives, capacity planning, and cross-functional collaboration.

The ideal candidate will work on improving receiving, put-away, picking, replenishment, kitting, and shipping, while developing KPIs and performing time studies to drive operational efficiency.

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