Industrial Engineering Analytics Engineer

The Industrial Engineering Analytics Engineer position at Laiba Techonology LLC in Pittsburgh, PA (onsite) focuses on building integrated industrial engineering analytics models that connect manufacturing planning inputs to operational outcomes. The role emphasizes capacity, labor, manufacturing efficiency, cost optimization, and scalable data modeling using analytics and simulation tools.

Responsibilities

• Develop integrated industrial engineering (IE) models that connect capacity, labor, material flow, PFEP, and cost (COGS) to support factory planning and operations
• Develop and apply advanced analytical models to improve manufacturing efficiency, capacity planning, and cost optimization
• Build capacity models including target versus forecast versus gated capacity, incorporating cycle time, OEE, yield losses, and bottleneck analysis
• Create 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
• Model COGS, including labor, overhead, scrap, and process-driven cost components
• Design OEE models covering availability, performance, and 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

Key Areas to Focus

• IE background in greenfield
• Capacity planning
• Labor planning

Requirements

• Minimum 7+ years of experience in industrial engineering analytics, manufacturing modeling, or operations analysis
• IE background in greenfield
• Experience using data analysis tools, including advanced Excel modeling, Python, SQL, and Power BI/Tableau

Technologies

• FlexSim
• Anylogic
• Simio
• Excel
• Python
• SQL
• Power BI
• Tableau

Location and Compensation

Location: Pittsburgh, PA (onsite)

Pay: USD 50 - 55 per hour

Experience: 7+ years