Industrial Engineering Analytics Engineer

Sira Consulting, an Inc 5000 company; Pittsburgh (Allegheny County); On-site; USD 110,000 - 160,000; Full time

Job summary

Sira Consulting seeks an experienced Industrial Engineer analytics professional to build integrated models linking capacity, labor, material flow, PFEP, and cost for factory planning. You will develop advanced analytical models to improve efficiency, capacity, and cost performance across production lines.

You will design and implement capacity and OEE models, create PFDs and value stream maps, and build scalable data architectures using Excel, Python, SQL, Power BI or Tableau.

Qualifications

• 7+ years of experience in industrial engineering analytics, manufacturing modeling, or operations analysis.
• Development and application of advanced analytical models to drive manufacturing efficiency, capacity planning, and cost optimization.
• Design scalable data models and data architecture for IE, capacity, labor, PFEP, and cost analytics.
• Experience with data analysis tools (Excel advanced modeling, Python, SQL, Power BI/Tableau).

Responsibilities

• Develop integrated IE models that connect capacity, labor, material flow, PFEP, and cost to support factory planning and operations.
• Build capacity models (target vs. forecast vs. gated capacity) including cycle time, OEE, yield losses, and bottleneck analysis.
• Create and evaluate business cases for capital investments (ROI, IRR, NPV, and cost-benefit analysis).
• Design OEE models (availability, performance, quality) to drive operational efficiency and continuous improvement.

Skills

IE analytics

manufacturing modeling

operations analysis

capacity planning

cost optimization

PFDs and value stream maps

data modeling

data architecture

cycle time analysis

OEE modeling

Education

Bachelor's degree in Industrial Engineering or related

Tools

Excel

Python

SQL

Power BI

Tableau

Job description

• 7+ years of experience in industrial engineering analytics, manufacturing modeling, or operations analysis
• Develop integrated IE models that connect capacity, labor, material flow, PFEP, and cost (COGS) to support factory planning and operations
• Development and application of 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
• 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
• Experience with data analysis tools (Excel advanced modeling, Python, SQL, Power BI/Tableau)