Industrial Engineering Analytics Engineer

Job Title: Industrial Engineering Analytics EngineerLocation: Pittsburgh, PA [Onsite]Duration: 12+ Months70% focus ona. Capacity Modelsb. Labor and overhead model30% focusa. Scrap Modelb. Cost ModelJob 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 losses, and bottleneck analysisDevelop labor models to optimize headcount, utilization, and labor cost (LOH) across production systemsCreate and evaluate business cases for capital investments, including ROI, IRR, NPV, and cost benefit analysisCOGS (cost of goods sold) modeling, including labor, overhead, scrap, and process-driven cost componentsDesign OEE models (availability, performance, quality) to drive operational efficiency and continuous improvementDevelop process flow diagrams (PFDs) and value stream maps to represent manufacturing systems and identify inefficienciesDesign scalable data models and data architecture for IE, capacity, labor, PFEP, and cost analyticsFlexSim, Anylogic, SimioExperience with data analysis tools (Excel advanced modeling, Python, SQL, Power BI/Tableau)