Industrial Engineering Analytics Engineer (Manufacturing Systems & Modelling)

American IT Systems•Boston, MA

About The Position

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.

Requirements

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
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.

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.