Industrial Analytics Engineer: Scale Manufacturing Efficiency

Tekskills Inc.; Pittsburgh (Allegheny County); On-site; USD 90,000 - 130,000; Full time

Job summary

Responsibilities include building scalable IE models, performing scenario analyses, and collaborating with cross-functional teams to optimize layout, throughput, and cost. Strong Excel, PFEP knowledge, and Six Sigma are required.

Qualifications

• Bachelor's degree in industrial engineering, Mechanical Engineering, Operations Research, or a related field.
• 7+ years of experience in industrial engineering analytics, manufacturing modeling, or operations analysis.

Responsibilities

• Develop and own integrated IE models that connect capacity, labor, material flow, PFEP, and cost (COGS) to support factory planning and operations.
• Build and maintain 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 across production systems.
• Create and evaluate business cases for capital investments, including ROI, IRR, NPV, and cost-benefit analysis.
• Lead COGS modeling, including labor, overhead, scrap, and process-driven cost components.
• Develop and track scrap and yield models, quantifying cost impact and identifying improvement opportunities.
• Design and maintain OEE models (availability, performance, 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 process flow diagrams (PFDs) and value stream maps to represent manufacturing systems and identify inefficiencies.
• Integrate PFEP data into models to optimize material flow, storage, and line-side delivery strategies.
• Support factory layout, site planning, and material flow decisions through data-driven insights and modeling.
• Perform scenario analysis and sensitivity studies to evaluate production strategies and capacity expansion plans.
• Utilize and/or develop factory simulation models to analyze throughput, bottlenecks, and system performance.
• Support factory ramp-up, installation, and operational readiness through model validation and performance tracking.
• Collaborate with cross-functional teams to align models with real-world constraints and business needs.
• Translate analytical outputs into executive-level insights and recommendations.

Skills

Capacity Planning

Industrial Manufacturing

Material Planning

CAPEX management

PFMEA

Lean Manufacturing

Layout planning

Six Sigma

Simulation tools

Excel

AI-driven tools

PFEP

OEE modeling

Power BI

Python

SQL

Education

Bachelor's degree in industrial engineering

Tools

FlexSim

AnyLogic

Simio

Power BI

Python

SQL

Job description

Responsibilities include building scalable IE models, performing scenario analyses, and collaborating with cross-functional teams to optimize layout, throughput, and cost. Strong Excel, PFEP knowledge, and Six Sigma are required.