Industrial Engineering Analytics Engineer

CoreTek Labs; Pittsburgh (Allegheny County); On-site; USD 90,000 - 130,000; Full time

Job summary

CoreTek Labs in Pittsburgh, PA, is seeking an Industrial Engineer with 7+ years to develop capacity planning models, optimize labor, and improve production costs.

You will lead CAPEX planning, OEE analysis, scrap reduction, and build dashboards with Excel, Power BI, and SQL, collaborating with Manufacturing, Operations, and Finance.

Qualifications

• Bachelor’s degree in a relevant engineering/ops field.
• 7+ years of Industrial Engineering or manufacturing analytics.
• Strong understanding of production operations.

Responsibilities

• Develop and maintain capacity planning models for current and future production.
• Perform labor planning and workforce optimization based on demand and takt time.
• Build and manage COGS models including direct labor, overhead, scrap, and costs.
• Lead CAPEX planning with equipment justification and expansion analysis.
• Develop OEE models for Availability, Performance, and Quality.
• Analyze scrap rate, yield, and cost impact to identify improvements.
• Conduct cycle time studies, bottleneck analysis, line balancing, and productivity initiatives.
• Support capacity expansion and readiness through analytic modeling and validation.
• Develop dashboards/reports using Excel, Power BI, SQL.
• Collaborate with cross-functional teams for data-driven decisions.
• Perform scenario analyses related to capacity, labor, throughput, and costs.
• Generate management-level reports and recommendations.

Skills

Capacity Planning and Capacity Mod..

Labor Planning and Workforce Opt..

COGS Modeling and Manufacturing Cost A

CAPEX Planning and Investment Justific

OEE Analysis and Performance Improve

Scrap Rate Calculation and Yield Analy

Cycle Time Analysis and Line Balancing

Manufacturing Process Improvement

Production Planning and Throughput An

Advanced Microsoft Excel

Power BI and Data Visualization

Education

Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, Operations Research, or related discipline.

Tools

SQL

Job description

Location: Pittsburgh, PA (onsite)

Exp: 06+ years

Duration: Long-term Contract

Role:

• The Industrial Engineer will be responsible for developing and managing industrial engineering models that support manufacturing capacity planning, labor planning, operational efficiency, productivity improvement, and cost optimization.
• The role requires strong expertise in manufacturing systems, production analytics, COGS modeling, OEE analysis, CAPEX planning, and scrap reduction initiatives.

Mandatory Responsibilities:

• Develop and maintain capacity planning models to support current and future production requirements.
• Perform labor planning and workforce optimization based on production demand, takt time, and utilization targets.
• Build and manage COGS (Cost of Goods Sold) models including direct labor, overhead, scrap, and manufacturing costs.
• Lead CAPEX planning activities including equipment justification, investment analysis, and manufacturing expansion planning.
• Develop and maintain OEE (Overall Equipment Effectiveness) models covering Availability, Performance, and Quality metrics.
• Perform scrap rate analysis, yield tracking, and cost impact assessments to identify improvement opportunities.
• Conduct cycle time studies, bottleneck analysis, line balancing, and productivity improvement initiatives.
• Support factory capacity expansion and operational readiness through analytical modeling and validation.
• Develop manufacturing dashboards and reports using Excel, Power BI, SQL, or similar analytical tools.
• Collaborate with Manufacturing, Operations, Supply Chain, Finance, and Engineering teams to support data-driven decision-making.
• Perform scenario analysis and sensitivity studies related to capacity, labor, throughput, and manufacturing costs.
• Generate management-level reports and recommendations based on industrial engineering analysis.

Mandatory Skills:

• Capacity Planning and Capacity Modeling
• Labor Planning and Workforce Optimization
• COGS Modeling and Manufacturing Cost Analysis
• CAPEX Planning and Investment Justification
• OEE Analysis and Performance Improvement
• Scrap Rate Calculation and Yield Analysis
• Cycle Time Analysis and Line Balancing
• Manufacturing Process Improvement
• Production Planning and Throughput Analysis
• Advanced Microsoft Excel
• Power BI and Data Visualization

Basic Qualifications:

• Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, Operations Research, or related discipline.
• 7+ years of experience in Industrial Engineering, Manufacturing Analytics, Capacity Planning, or Operations Analysis.
• Strong understanding of manufacturing systems and production operations.