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

O'Neill Logistics

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Entry -Level Industrial Engineer