Industrial Engineer II – Warehousing, Continuous Improvement & Labor Management

Industrial Engineer II

Location:
St. Louis, MO or Mechanicsburg, PA

Shift: Monday - Friday 8am - 5pm

Industrial Engineer II – Warehousing, Continuous Improvement & Labor Management

Position Summary

The Industrial Engineer II is responsible for leading warehousing and distribution center engineering initiatives focused on labor productivity, process improvement, operational performance, and cost optimization. This role supports both existing operations and new business implementations by analyzing operational data, developing engineered solutions, implementing continuous improvement initiatives, and driving sustainable performance improvements. The Industrial Engineer II serves as a key partner to operations leadership by identifying productivity opportunities, supporting Labor Management System (LMS) programs, developing labor standards, and utilizing data-driven methodologies to improve service, efficiency, and financial results

Major Responsibilities

• Lead warehouse engineering projects focused on productivity improvement, labor optimization, process standardization, and operational performance enhancement.

• Support the administration, maintenance, and continuous improvement of Labor Management Systems (LMS), including labor standard development, system configuration support, testing, validation, and reporting.

• Conduct labor performance analysis using operational, productivity, and financial data to identify opportunities for improvement and recommend corrective actions.

• Develop, validate, and maintain engineered labor standards through work measurement techniques, time studies, process observation, and statistical analysis.

• Partner with operations leadership to implement continuous improvement initiatives utilizing Lean, Six Sigma, and industrial engineering methodologies.

• Analyze warehouse processes, workflows, and facility operations to improve throughput, capacity utilization, labor efficiency, safety, and service performance.

• Create productivity scorecards, labor planning models, performance dashboards, and operational reporting tools to support management decision-making.

• Support site startups, customer implementations, process redesigns, and operational improvement projects.

• Develop and deliver training materials, process documentation, user guides, and presentations for operations leadership and warehouse associates.

• Present findings, recommendations, business cases, and project results to operational leadership, customers, and senior management.

• Support proposal development, customer solutions, and network optimization initiatives through engineering analysis and modeling.

• Manage multiple projects simultaneously while meeting customer and business deadlines.

Required Education

• Bachelor's Degree in Industrial Engineering, Supply Chain, Logistics, Engineering, Management Science, Computer Science, or a related quantitative discipline.

Required Experience

• 2–5 years of experience in industrial engineering, warehouse engineering, labor management, supply chain optimization, or continuous improvement roles.

• Demonstrated experience supporting warehouse operations through data analysis and engineering solutions.

• Minimum 2 years of experience supporting a Labor Management System (LMS), including labor standards, productivity reporting, labor analysis, or operational performance improvement activities.

Technical Skills

• Strong proficiency in Microsoft Excel, Access, PowerPoint, and data analysis tools.

• Experience performing statistical analysis, productivity analysis, and operational reporting.

• Ability to develop labor standards, conduct time studies, and analyze warehouse performance metrics.

• Experience creating technical documentation, engineering reports, and executive presentations.

• Strong analytical, problem-solving, and project management skills.

Preferred Qualifications

• Experience implementing or supporting labor management systems in distribution center operations.

• Experience supporting warehouse startups, automation projects, or operational transformations.

• Experience with Power BI, SQL, Python, WMS, LMS, or warehouse analytics platforms.

• Experience facilitating continuous improvement projects with measurable…