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. Key Skills & Competencies • Strong analytical and problem-solving skills with a data-driven mindset • Ability to build scalable models and analytics systems that support both tactical and strategic decisions • Strong communication skills to translate complex data into actionable insights • Ability to work across cross-functional teams and influence decision-making • Attention to detail with a systems-level understanding of manufacturing operations • Ability to manage multiple projects and priorities in a fast-paced environment Basic Qualifications • Bachelor's degree in Industrial Engineering, Mechanical Engineering, Operations Research, or a related field • 7+ years of experience in industrial engineering analytics, manufacturing modeling, or operations analysis • Strong understanding of manufacturing systems, capacity planning, and industrial engineering principles.