Industrial Engineering Analytics Engineer (Manufacturing Systems & Modeling)

Delan Associates, Inc•Pittsburgh, PA

About The Position

This role focuses on leveraging industrial engineering analytics to optimize manufacturing systems and processes through modeling. The engineer will be responsible for developing and implementing various models to analyze capacity, labor, costs, and material flow, ultimately driving efficiency and cost savings in factory operations.

Requirements

Capacity modeling (OEE, cycle time, bottleneck analysis)
Labor and cost modeling (COGS, LOH, ROI/NPV/IRR)
Manufacturing analytics & process optimization
Simulation tools (FlexSim / AnyLogic / Simio)
Data analytics: Excel (advanced), SQL, Python, BI tools (Power BI/Tableau)
PFEP and material flow modeling
Scenario analysis, sensitivity modeling, and forecasting
7+ years in industrial engineering analytics/ manufacturing modeling
Experience building end-to-end IE models (capacity + labor + cost)
Strong exposure to factory operations, throughput optimization, and cost analysis
Experience with business case development and financial modeling
Hands-on work integrating shop-floor data, MES, and analytics systems

Nice To Haves

AI/ML-based analytics

Responsibilities

Develop and maintain capacity models, including OEE, cycle time, and bottleneck analysis.
Create labor and cost models, incorporating metrics such as COGS, LOH, and financial analyses (ROI/NPV/IRR).
Apply manufacturing analytics and process optimization techniques.
Utilize simulation tools like FlexSim, AnyLogic, or Simio for modeling manufacturing environments.
Perform data analytics using advanced Excel, SQL, Python, and BI tools (Power BI/Tableau).
Model PFEP and material flow within manufacturing facilities.
Conduct scenario analysis, sensitivity modeling, and forecasting.
Develop end-to-end IE models that integrate capacity, labor, and cost components.
Contribute to business case development and financial modeling.
Integrate shop-floor data, MES, and analytics systems.