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