Industrial Analytics Engineer

Cynet Systems • Pittsburgh, PA

4d

About The Position

The Industrial Analytics Engineer will be responsible for developing integrated IE models that connect capacity, labor, material flow, PFEP, and cost (COGS) to support factory planning and operations. This role involves applying advanced analytical models to drive manufacturing efficiency, capacity planning, and cost optimization. The engineer will build capacity models, develop labor models, create and evaluate business cases for capital investments, perform COGS modeling, design OEE models, and develop process flow diagrams and value stream maps. Additionally, the role requires designing scalable data models and data architecture for IE, capacity, labor, PFEP, and cost analytics.

Requirements

• 7+ years of experience in industrial engineering analytics, manufacturing modeling, or operations analysis.
• Experience with simulation tools such as FlexSim, Anylogic, or Simio.
• Proficiency with data analysis tools including Excel advanced modeling, Python, SQL, and Power BI/Tableau.
• Strong verbal and written communication skills.

Responsibilities

• Develop integrated IE models that connect capacity, labor, material flow, PFEP, and cost (COGS) to support factory planning and operations.
• Apply advanced analytical models to drive manufacturing efficiency, capacity planning, and cost optimization.
• Build 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.
• Perform COGS (cost of goods sold) modeling, including labor, overhead, scrap, and process-driven cost components.
• Design OEE models (availability, performance, quality) to drive operational efficiency and continuous improvement.
• Develop process flow diagrams (PFDs) and value stream maps to represent manufacturing systems and identify inefficiencies.
• Design scalable data models and data architecture for IE, capacity, labor, PFEP, and cost analytics.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed