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Operations Industrial Engineer l

Job in Woodbridge Township, Middlesex County, New Jersey, USA
Listing for: DHL eCommerce
Full Time position
Listed on 2025-12-27
Job specializations:
  • Engineering
    Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

DHL eCommerce

Equal Opportunity Employer/Disability/VET

Location: New Jersey, Avenel (EWR)

Job Brief

The Operations Industrial Engineer I will be responsible for working with Operations and Automation teams for the planning, implementation, management, and measurements of DHL processes in existing and new distribution centers. At DHL, our people are our greatest asset! Everyone’s contribution drives us to be the world's #1 logistics company. Certified as a Great Place to Work and as a Top Employer, we're dedicated to fostering a positive, collaborative, and supportive environment for all.

Our commitment and engagement with Our People ensure we continuously build a workplace we're all proud of. Plus, with competitive compensation and exceptional perks, we make sure your personal life shines just as brightly as your career.

JOB SUMMARY

As an Operations Industrial Engineer I at DHL eCommerce, you will drive operational excellence across our supply chain network by combining data-driven analysis with Gemba observations to identify and implement scalable solutions. In this role, you will develop labor models, conduct time studies, optimize sort plans and facility layouts, and leverage Python, SQL, data visualization, and mathematical optimization models to turn complex data into actionable insights.

This position emphasizes building and deploying optimization models—rather than relying on manual planning—to deliver scalable solutions that balance cost, flexibility, and efficiency. The team is positioned to optimize the supply chain network and deliver corporate-level impact. You will work closely with Operations, Transportation, Automation, and other cross‑functional teams. Together, you will drive strategic improvements that enhance performance and support network growth.

ESSENTIAL

DUTIES & RESPONSIBILITIES
  • Engineering Support:
    Provides strategic engineering expertise to optimize distribution center operations and broader supply chain performance.
  • Network Optimization Strategy:
    Drives initiatives that position the team to optimize the supply chain network and deliver corporate-level impact through data-driven analysis, capacity planning, and scalable engineering solutions.
  • Traditional Industrial Engineering Tasks:
    Engages in traditional Industrial Engineering tasks including staff planning models, productivity improvement, work methods and measurement standards, best practice identification, standardized process maintenance and procedure documentation, sort plan optimization.
  • Conducts time‑studies, identification and description of process deviations, identification and implementation of best practices.
  • Ergonomics & Safety:
    Evaluates and improves workstation and material handling ergonomics to reduce risk of injury, enhance employee safety, and support productivity through data-driven assessments and best practices.
  • Advanced Root Cause Analysis:
    Conducts advanced root‑cause analysis on metrics to enhance cost effectiveness and operational efficiency.
  • Performance Analysis:
    Analyzes reports and data related to network engineering performance identifying and documenting deviations (e.g., service performance, quality, cost per unit, pieces per hour). Identifies and documents process/product/profile deviations per customer/process/distribution center on a regular basis.
  • Data Visualization:
    Develops insights through analysis and visualization with data to inform and influence stakeholders.
  • SQL Proficiency:
    Uses SQL for basic data extraction and analysis to support engineering studies and reporting.
  • Layout Optimization:
    Identifies opportunities for layout‑optimization and implements best practices through time studies and process analysis of existing distribution centers.
  • Back‑Office Efficiency:
    Supports back‑office process optimization by applying Lean principles to eliminate waste, streamline workflows, and improve back‑office efficiency across the network.
  • Business Case Development:
    Develops business cases and tracks ROI for engineering initiatives.
  • Continuous Improvement:
    Utilizes continuous improvement methodology; assesses key performance indicators; establishes project objectives; drives short‑ and long‑term…
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