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PRIMUS

Industrial Data Analytics Engineer - 69697

Pay: Not specified

Posted: 4 weeks ago

Location: Pittsburgh, PA (Onsite)

Last Updated: 1 week ago

Hours: Full-Time

Expires: 10/3/2026

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What they do

An Industrial Engineer devises ways to make production processes more efficient and less wasteful. Uses technology and engineering to help companies and organizations produce products with efficient use of time, resources, and energy.

$93,436 / year median in Pennsylvania

-7% projected decline

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Job Description

Industrial Data Analytics Engineer - 69697 (Pittsburg, PA) | 08/21/2026 Easy Apply

Job Code :

JPC - 69697

Job Description Industrial Data Analytics Engineer, Onsite We have an immediate need for an experienced Industrial Engineering Analytics Engineer with strong expertise in manufacturing analytics, capacity modeling, labor and cost modeling, process optimization, simulation, and data-driven decision-making to design and develop scalable industrial engineering solutions. This is an onsite position based in Pittsburgh, PA, for a candidate with deep experience in Capacity Modeling, OEE, Cycle Time Analysis, Bottleneck Analysis, Labor & Cost Modeling, COGS, LOH, ROI/NPV/IRR, Manufacturing Analytics, Process Optimization, FlexSim, AnyLogic, Simio, Advanced Excel, SQL, Python, Power BI, Tableau, PFEP, Material Flow Modeling, Scenario Analysis, Sensitivity Modeling, Forecasting, AI/ML Analytics, MES, and Shop-Floor Data Integration. The ideal candidate will have a proven track record of developing industrial engineering models for capacity, labor, cost, and throughput optimization, integrating manufacturing and shop-floor data with analytics systems, performing scenario and financial analysis, and delivering data-driven recommendations to improve factory performance, operational efficiency, and cost.