Industrial Analytics Engineer - Manufacturing Capacity & AI Modeling

Vaspire Technologies Inc.; Austin (TX); On-site; USD 120,000 - 190,000; Full time

Job summary

Vaspire Technologies Inc. is seeking an Industrial Engineering Analytics Engineer to lead the development of advanced analytical models for manufacturing efficiency and cost optimization in Austin, TX.

You will connect capacity, labor, PFEP, and COGS to enable data-driven decisions across plant operations. The role combines IE fundamentals with AI-driven analytics, simulation, and business case development to support large-scale manufacturing environments.

Qualifications

• Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Operations Research, or a related field.
• 7+ years of experience in industrial engineering analytics, manufacturing modeling, or operations analysis.
• Strong understanding of manufacturing systems, capacity planning, and industrial engineering principles.

Responsibilities

• Develop and own integrated IE models that connect capacity, labor and cost (COGS) to support factory planning and operations.
• Build and maintain capacity models (target vs. forecast vs. gated capacity), incorporating cycle time, OEE, yield losses, and bottleneck analysis.
• Develop labor models to optimize headcount, utilization, and labor cost across production systems.
• Create and evaluate business cases for capital investments, including ROI, IRR, NPV, and cost-benefit analysis.
• Lead COGS modeling, including labor, overhead, scrap, and process-driven cost components.
• Develop and track scrap and yield models, quantifying cost impact and identifying improvement opportunities.
• Design and maintain OEE models (availability, performance, quality) to drive operational efficiency and continuous improvement.
• Support factory layout, site planning, and material flow decisions through data-driven insights and modeling.
• Perform scenario analysis and sensitivity studies to evaluate production strategies and capacity expansion plans.
• Utilize and/or develop factory simulation models (e.g., FlexSim, AnyLogic, Simio) to analyze throughput, bottlenecks, and system performance.
• Support factory ramp-up, installation, and operational readiness through model validation and performance tracking.
• Collaborate with cross-functional teams to align models with real-world constraints and business needs.
• Translate complex analytical outputs into clear, executive-level insights and recommendations.
• Collaborate with MES and Controls teams to integrate shop-floor data with IE models, ensuring accurate OEE measurement and enabling real-time dashboards.

Skills

Capacity & labor modeling

OEE expertise

Data & analytics tools

Executive communication

Manufacturing & IE foundation

Data-driven decision making

Education

Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Operations Research, or a related field

Tools

FlexSim

AnyLogic

Simio

Excel

Python

SQL

Power BI/Tableau

Job description

Vaspire Technologies Inc. is seeking an Industrial Engineering Analytics Engineer to lead the development of advanced analytical models for manufacturing efficiency and cost optimization in Austin, TX.

You will connect capacity, labor, PFEP, and COGS to enable data-driven decisions across plant operations. The role combines IE fundamentals with AI-driven analytics, simulation, and business case development to support large-scale manufacturing environments.