Entry -Level Industrial Engineer

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.

• 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

• 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

• 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

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

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