Industrial Analytics Engineer

Key Responsibilities • Develop and own integrated IE models that connect capacity, labor, material flow, PFEP, and cost (COGS) to support factory planning and operations • Build and maintain capacity models (target vs. forecast vs. gated capacity), incorporating cycle time, OEE, yield losses, and bottleneck analysis • Develop labor models to optimize headcount, utilization, and labor cost (LOH) across production systems • Create and evaluate business cases for capital investments, including ROI, IRR, NPV, and cost- benefit analysis • Lead COGS modeling, including labor, overhead, scrap, and process-driven cost components • Develop and track scrap and yield models, quantifying cost impact and identifying improvement opportunities • Design and maintain OEE models (availability, performance, quality) to drive operational efficiency and continuous improvement • Perform buffer and WIP analysis to optimize inline and interline storage, reduce bottlenecks, and stabilize production flow • Develop process flow diagrams (PFDs) and value stream maps to represent manufacturing systems and identify inefficiencies • Integrate PFEP (Plan for Every Part) data into models to optimize material flow, storage, and line-side delivery strategies • Support factory layout, site planning, and material flow decisions through data-driven insights and modeling • Perform scenario analysis and sensitivity studies to evaluate production strategies and capacity expansion plans • Utilize and/or develop factory simulation models (e.g., FlexSim, AnyLogic, Simio) to analyze throughput, bottlenecks, and system performance • Support factory ramp-up, installation, and operational readiness through model validation and performance tracking • Collaborate with cross-functional teams (Manufacturing, Operations, Supply Chain, Finance, Engineering) to align models with real-world constraints and business needs • Translate complex analytical outputs into clear, executive-level insights and recommendations • Collaborate with MES and Controls teams to integrate shop-floor data with IE models, ensuring accurate OEE measurement and enabling real-time, scalable dashboards for operational visibility and executive decision-making Preferred Qualifications • Experience building end-to-end IE models integrating capacity, labor, cost, PFEP, and material flow • Proficiency in capacity modeling, OEE analysis, cycle time studies, and line balancing • Hands-on experience with PFEP, material flow optimization, and warehouse integration • Experience with factory simulation tools (e.g., FlexSim, AnyLogic, Simio) • Strong experience in business case development (ROI, IRR, NPV) • Knowledge of COGS modeling, cost structures, and financial impact analysis • Experience with data analysis tools (Excel advanced modeling, Python, SQL, Power BI/Tableau, or similar) • Familiarity with AI/ML applications in manufacturing analytics (preferred) • Familiarity with lean manufacturing and continuous improvement methodologies