Manufacturing Analytics Engineer - Capacity & Cost Modeling

ClinDCast LLC; Pittsburgh (Allegheny County); On-site; USD 85,000 - 115,000; Full time

Job summary

ClinDCast LLC is looking for an Industrial Engineering Analytics Engineer to join their team in Pittsburgh, United States. The ideal candidate will have over 7 years of experience in industrial engineering analytics, specializing in manufacturing systems and modeling. Responsibilities include providing technical expertise in manufacturing analytics and optimizing factory operations.

The position requires a strong background in capacity, labor, and cost modeling and familiarity with various simulation tools such as FlexSim and AnyLogic. This is a unique opportunity to contribute to process optimization and analytics in manufacturing environments.

Qualifications

• 7+ years in industrial engineering analytics/manufacturing modeling.
• Expertise in capacity, labor, and cost modeling.
• Strong factory operations, throughput optimization, and cost analysis experience.
• Experience with MES, shop‑floor data integration, and business case development.

Responsibilities

• Provide hands-on manufacturing analytics and modeling expertise.
• Optimize factory operations and improve throughput.

Skills

Capacity modeling (OEE, cycle time, bottleneck analysis)

Labor & cost modeling (COGS, LOH, ROI, NPV, IRR)

Manufacturing analytics & process optimization

Simulation tools: FlexSim, AnyLogic, or Simio

Advanced Excel

SQL

Python

Power BI/Tableau

PFEP, material flow modeling, forecasting & scenario analysis

AI/ML-based analytics

Job description

ClinDCast LLC is looking for an Industrial Engineering Analytics Engineer to join their team in Pittsburgh, United States. The ideal candidate will have over 7 years of experience in industrial engineering analytics, specializing in manufacturing systems and modeling. Responsibilities include providing technical expertise in manufacturing analytics and optimizing factory operations.

The position requires a strong background in capacity, labor, and cost modeling and familiarity with various simulation tools such as FlexSim and AnyLogic. This is a unique opportunity to contribute to process optimization and analytics in manufacturing environments.