Industrial Engineering Analytics Engineer

Tasks

• 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.

Requirements

• Strong expertise in manufacturing systems, production analytics, COGS modeling, OEE analysis, CAPEX planning, and scrap reduction initiatives.
• Capacity Planning and Capacity Modeling
• Labor Planning and Workforce Optimization
• COGS Modeli

Location

• Pittsburgh, PA
• Boston, MA