Senior Industrial Engineer – Manufacturing Analytics & Capacity Planning

This role is ideal for an Industrial Engineer, Manufacturing Engineer, Operations Research Engineer, Manufacturing Analytics Engineer, or Industrial Engineering Data Analyst with strong experience building analytical models for manufacturing operations.

• What You'll Do
• 70% – Primary Focus
• Develop and maintain manufacturing capacity models covering target, forecast, and gated capacity.
• Analyze cycle time, OEE, yield losses, bottlenecks, utilization, and throughput.
• Build labor and overhead models to optimize headcount, utilization, and labor cost.
• Connect capacity, labor, material flow, PFEP, and cost/COGS into integrated IE models.
• Develop analytical models to support factory planning, capacity strategy, and operational efficiency.
• Evaluate manufacturing scenarios and identify opportunities for productivity and cost improvement.
• 30% – Secondary Focus
• Develop scrap and cost models incorporating labor, overhead, material, and process-driven costs.
• Support COGS modeling and manufacturing cost analysis.
• Build business cases for capital investments using ROI, IRR, NPV, and cost-benefit analysis.
• Develop OEE models covering availability, performance, and quality.
• Create process flow diagrams (PFDs) and value stream maps to identify process inefficiencies.
• Design scalable data models and analytics architecture for IE, capacity, labor, PFEP, and cost analytics.

• Required Qualifications
• 7+ years of experience in Industrial Engineering, Manufacturing Engineering, Operations Analytics, Manufacturing Modeling, or a related field.
• Strong experience developing capacity and labor models within manufacturing environments.
• Experience with manufacturing process analysis, bottleneck analysis, OEE, cycle time, yield, and throughput.
• Experience with labor/headcount and overhead modeling.
• Strong analytical and quantitative problem-solving skills.
• Experience with cost/COGS, scrap, or manufacturing financial models.
• Advanced Excel modeling skills.
• Experience with Python and/or SQL for data analysis.
• Experience with Power BI or Tableau.
• Experience creating process flow diagrams, value stream maps, or manufacturing process models.

• Simulation Experience
• Experience with one or more of the following is highly desirable:
• FlexSim
• AnyLogic
• Simio

• Preferred Background
• Candidates with experience in the following areas are encouraged to apply:
• Industrial Engineering | Manufacturing Engineering | Operations Research | Manufacturing Analytics | Capacity Planning | Labor Modeling | Factory Planning | Production Analytics | Operations Analytics | Cost/COGS Modeling | Supply Chain Analytics | Simulation Modeling

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