Logistics Engineer

gpac

Newark (NJ)

On-site

USD 125,000 - 140,000

Full time

2 days ago
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Job summary

gpac in Newark, New Jersey is seeking an experienced Logistics Engineer to analyze, design, and optimize transportation, warehousing, distribution, and material-flow processes. You will apply data-driven analysis and engineering principles to deliver measurable improvements.

The role requires strong analytical, problem-solving, and project-management skills, with experience in Lean/Six Sigma and supply-chain technology.

Qualifications

  • Bachelor’s degree or higher in a relevant field.
  • 5+ years in logistics engineering, supply chain engineering, or related environment.
  • Strong understanding of transportation, warehousing, distribution, and supply-chain operations.
  • Experience using data to identify problems and drive measurable improvements.
  • Advanced Excel skills; familiarity with data viz tools is a plus.
  • Experience with Lean, Six Sigma, or process-improvement methodologies.
  • Strong project management and communication skills; able to work with leadership.

Responsibilities

  • Analyze transportation, warehouse, distribution, and material-flow processes to find improvement opportunities.
  • Design and implement logistics solutions to improve efficiency, capacity, service levels, and cost.
  • Develop and analyze operational models, KPI dashboards, and performance metrics.
  • Evaluate networks, routes, layouts, and inventory flows for optimization.
  • Identify bottlenecks and unneeded costs; implement practical solutions.
  • Collaborate with operations, transportation, procurement, IT, and management to implement changes.
  • Use data to support capacity planning, labor utilization, and facility operations decisions.
  • Lead or support Lean Six Sigma and other continuous-improvement initiatives.
  • Evaluate TMS, WMS, ERP, and other logistics tech to boost visibility and performance.
  • Develop ROI analyses and business cases for improvements.
  • Support rollout of new processes, systems, and facilities; monitor outcomes.

Skills

Analytical skills
Data analysis
Excel proficiency
Lean Six Sigma
Project management
Data visualization

Education

Bachelor’s degree in Industrial Engineering, Logistics, Supply Chain, Operations, Engineering

Tools

TMS/WMS/ERP systems

Job description

Newark, New Jersey | $125,000-$140,000

Build Smarter. Move Faster. Improve What Matters.

We are seeking an experienced Logistics Engineer to analyze, design, and optimize transportation, warehousing, distribution, and material-flow processes. This is an opportunity for an analytical, solutions-oriented professional who understands that logistics engineering is about more than moving freight-it is about finding better, faster, and more cost-effective ways to move it. The ideal candidate will bring a strong combination of logistics operations knowledge, engineering principles, data analysis, process improvement, and project management.

What You'll Do
  • Analyze current transportation, warehouse, distribution, and material-flow processes to identify opportunities for improvement.
  • Design and implement logistics solutions that improve efficiency, capacity, service levels, and cost.
  • Develop and analyze operational models, KPI dashboards, and performance metrics.
  • Evaluate transportation networks, routes, facility layouts, inventory flows, and distribution strategies.
  • Identify bottlenecks, inefficiencies, and unnecessary costs and develop practical solutions.
  • Work closely with operations, transportation, warehouse, procurement, IT, and management teams to implement improvements.
  • Use data to support decisions involving capacity planning, transportation optimization, labor utilization, inventory movement, and facility operations.
  • Lead or support continuous-improvement initiatives, including Lean, Six Sigma, process mapping, and root-cause analysis.
  • Evaluate TMS, WMS, ERP, and other logistics technology to improve visibility and operational performance.
  • Develop business cases and ROI analyses for proposed logistics improvements.
  • Support implementation of new processes, systems, facilities, and operational strategies.
  • Monitor results following implementation and make adjustments to ensure improvements are sustained.
  • Prepare presentations and recommendations for senior leadership.
What We’re Looking For
  • Bachelor’s degree in Industrial Engineering, Logistics, Supply Chain, Operations, Engineering, or a related field.
  • 5+ years of experience in logistics engineering, supply chain engineering, industrial engineering, transportation, distribution, or a closely related environment.
  • Strong understanding of transportation, warehousing, distribution, and supply-chain operations.
  • Demonstrated experience using data to identify operational problems and develop measurable solutions.
  • Strong analytical and problem-solving abilities.
  • Advanced Excel skills; experience with data visualization and analytical tools is highly desirable.
  • Experience working with TMS, WMS, ERP, or other supply-chain technology platforms.
  • Experience with Lean, Six Sigma, process improvement, or similar methodologies.
  • Strong project management and communication skills.
  • Ability to work with both operational personnel and senior leadership.
  • Someone who can move beyond identifying problems and actually drive solutions through implementation.
Preferred Qualifications
  • Lean Six Sigma certification.
  • APICS/ASCM certification such as CPIM or CSCP.
  • Experience with transportation network optimization or warehouse/distribution-center design.
  • Experience with logistics modeling, simulation, or optimization software.
  • Experience in a high-volume transportation, distribution, manufacturing, or 3PL environment.
  • Strong knowledge of KPI development, cost modeling, and operational forecasting.
What’s Offered
  • Base Salary: $125,000-$140,000

This is an excellent opportunity for a logistics professional who enjoys solving complex operational problems, improving processes, working with data, and seeing their recommendations turn into measurable results.

All qualified applicants will receive consideration without regard to race, age, color, sex (including pregnancy), religion, national origin, disability, sexual orientation, gender identity, marital status, military status, genetic information, or any other status protected by applicable laws or regulations.

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