Industrial Engineering Analytics Engineer (Manufacturing Systems & Modeling)

Job Description: 7+ years of experience in industrial engineering analytics, manufacturing modeling, or operations analysisDevelop integrated IE models that connect capacity, labor, material flow, PFEP, and cost (COGS) to support factory planning and operationsDevelopment and application of advanced analytical models to drive manufacturing efficiency, capacity planning, and cost optimizationBuild capacity models (target vs. forecast vs. gated capacity), incorporating cycle time, OEE, yield losse

Role: Industrial Engineering Location: Pittsburg, PA(Onsite) Duration:12+ Months Role Overview The Industrial Engineer will be responsible for developing and managing industrial engineering models that support manufacturing capacity planning, labor planning, operational efficiency, productivity improvement, and cost optimization. The role requires strong expertise in manufacturing systems, production analytics, COGS modeling, OEE analysis, CAPEX planning, and scrap reduction initiatives. Mandat

Job Title: Industrial Engineering Analytics Engineer (Manufacturing Systems & Modeling) Location: Pittsburgh, PA (Onsite) Positions: 2 Required Skills: Greenfield or brownfield project experience (good to have) Equipment planning Capacity planning Labour planning CAPEX management (good to have) Supplier validation Capital investments ROI, IRR, NPV, and cost-benefit analysis Design and maintain OEE models Support factory ramp-up, installation, and operational readiness through model validatio

Job Title: Industrial Engineering Analytics Engineer (Manufacturing Systems & Modeling) Location: Pittsburgh, PA (Onsite) Required Skills: Greenfield or brownfield project experience (good to have)Equipment planningCapacity planningLabour planningCAPEX management (good to have)Supplier validationCapital investments ROI, IRR, NPV, and cost-benefit analysisDesign and maintain OEE modelsSupport factory ramp-up, installation, and operational readiness through model validation and performance tracki