Title: Industrial Engineering Analytics Engineer
Location: Pittsburgh, PA
Exp:6+ years
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.
Location: Pittsburgh, PA
Exp:6+ years
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.