Industrial Analytics Engineer: AI-Driven Capacity & OEE

ZENITH INFOTEK LLC

Pittsburgh (Allegheny County)

On-site

USD 110,000 - 170,000

Full time

14 days+

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Job summary

Zenith Infotek LLC is seeking an Industrial Engineering Analytics Engineer to lead the development and application of advanced analytical models aimed at boosting manufacturing efficiency, capacity planning, and cost optimization. The role builds integrated IE models connecting capacity, labor, material flow, PFEP, and COGS to enable data-driven decisions across factory operations.

The ideal candidate combines IE fundamentals with advanced analytics, simulation, business-case development, and

Qualifications

Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Operations Research, or a related technical field.
7+ years of experience in industrial engineering analytics, manufacturing modeling, or a related field.
Strong understanding of manufacturing systems, capacity planning, production systems, and IE principles.
Demonstrated experience developing data-driven models and analytical solutions for manufacturing or factory operations.

Responsibilities

Industrial Engineering & Manufacturing Modeling: Develop and own integrated IE models connecting capacity, labor, material flow, PFEP, and COGS to support factory planning and operations.
Build and maintain capacity models covering target, forecast, and gated capacity, incorporating cycle time, OEE, yield losses, utilization, and bottleneck analysis.
Develop labor models to optimize headcount, workforce utilization, labor productivity, and labor cost/LOH across production systems.
Lead COGS modeling, including labor, overhead, scrap, and process-driven cost components.
Develop and track scrap and yield models, quantify financial impacts, and identify opportunities for operational improvement.
Design and maintain OEE models covering availability, performance, and quality to drive operational efficiency and continuous improvement.
Perform buffer and WIP analysis to optimize inline and interline storage, reduce bottlenecks, and stabilize production flow.
Develop PFEP data integration into IE models to optimize material flow, storage, inventory, and line-side delivery strategies.
Support factory layout, site planning, equipment placement, and material flow decisions through data-driven modeling and analysis.
Conduct scenario analysis and sensitivity studies to evaluate production strategies, capacity expansion plans, and operational trade-offs.
Create and evaluate business cases for capital investments and manufacturing improvements.