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Entry-Level Industrial Engineer

O'Neill Logistics
locationMonroe Township, NJ 08831, USA
PublishedPublished: 6/14/2022
Manufacturing
Full Time

Job Description

The Entry-Level Industrial Engineer will support continuous improvement and operational excellence initiatives across warehouse operations within a fast-paced third-party logistics (3PL) environment. This role applies industrial engineering principles and data-driven analysis to improve productivity, labor efficiency, space utilization, and service performance across distribution centers.

The ideal candidate is analytical, detail-oriented, and eager to turn operational data into actionable insights through hands-on warehouse engagement.


Key Responsibilities

  • Perform detailed data analysis on existing and potential customer labor, productivity, throughput, and order volume to identify trends, risks, and improvement opportunities
  • Analyze warehouse processes (receiving, putaway, picking, packing, shipping) using process maps, data models, and performance metrics
  • Build and maintain productivity reports, scorecards, and dashboards for operations leadership
  • Assist with labor planning, staffing models, and workload forecasting based on historical and projected volume data
  • Use data to support layout changes, slotting strategies, and storage optimization decisions
  • Present findings and recommendations using clear visuals, summaries, and data-backed narratives
  • Support continuous improvement initiatives using Lean methodologies and root cause analysis supported by data

Required Qualifications

  • Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, or a related field
  • Strong analytical, quantitative, and problem-solving skills
  • Proficiency in Microsoft Excel, including pivot tables, advanced formulas, and basic data modeling
  • Ability to analyze large datasets and translate results into operational recommendations
  • Solid understanding of industrial engineering concepts such as time studies, standard work, and productivity analysis
  • Ability to work in a warehouse environment and collect real-time operational data
  • Strong written and verbal communication skills

Preferred Qualifications

  • Internship or co-op experience involving data analysis in warehousing, logistics, manufacturing, or supply chain operations
  • Familiarity with WMS and LMS data structures
  • Experience with data visualization or BI tools (Tableau, Power BI)
  • Basic SQL or scripting experience for data extraction and analysis
  • Exposure to Lean, Six Sigma, or continuous improvement tools
  • Experience working with KPIs such as UPH, LPH, utilization, and service-level metrics


Salary range

  • $70,000-$75,000 with eligibility for a performance-based bonus.


Comprehensive benefits

  • Paid time off (PTO)
  • Sick time
  • Personal days
  • Medical, Dental, Vision, & Life insurance
  • 401(k) retirement plan


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