Industrial Engineering Analytics Engineer

Life in Pittsburgh; Pittsburgh (Allegheny County); Presencial; USD 120.000 - 160.000; Jornada completa

Descripción de la vacante

Pittsburgh Tomorrow is seeking an Industrial Engineering Analytics Engineer in Pittsburgh, PA to develop and manage models for capacity planning, labor optimization, and cost analysis. You will lead CAPEX planning, OEE tracking, and scrap reduction initiatives, collaborating with Manufacturing, Operations, and Finance to drive data-driven decisions.

The role requires expertise in Excel, Power BI, and manufacturing analytics, with a strong emphasis on production efficiency, throughput

Formación

• 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.

Responsabilidades

• 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 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 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.

Conocimientos

Capacity Planning

Labor Planning

COGS Modeling

CAPEX Planning

OEE Analysis

Scrap Rate Analysis

Cycle Time Analysis

Line Balancing

Excel

Power BI

Educación

Bachelor's degree in Industrial Engineering or related

Herramientas

Excel

Power BI

Descripción del empleo

Title: Industrial Engineering Analytics Engineer

Location: Pittsburgh, PA

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 JustificationOEE 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.