Onsite Manufacturing Analytics Engineer - Capacity Modeling

Prolim global system; Austin (TX); On-site; USD 76,000 - 83,000; Full time

Job summary

Prolim global system in Austin, TX is seeking an Industrial Engineering Analytics Engineer to strengthen manufacturing decision-making with integrated modeling and analytics. This role focuses on capacity planning, labor and cost optimization, and bringing shop-floor data into clear dashboards, supported by scenario analysis and AI-enabled data systems.

The role emphasizes building scalable capacity and labor models, leveraging AI-enabled data systems, and collaborating across Manufacturing,

Qualifications

• Bachelor’s degree in Industrial Engineering, Mechanical Engineering, OR Operations Research or 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.
• Hands-on experience building capacity and labor models from scratch.
• Solid knowledge of OEE (Availability, Performance, and Quality).
• Advanced Excel modeling plus Python, SQL, and Power BI/Tableau.
• Strong analytical and numerical skills with ability to generate reports.
• Excellent communication, including presenting executive-level insights and recommendations.

Responsibilities

• Develop industrial engineering models connecting capacity, labor, and manufacturing costs.
• Build capacity models using cycle time, OEE, yields, bottlenecks, and production forecasts.
• Create labor models to optimize headcount, utilization, and labor costs.
• Evaluate capital investment cases using ROI, IRR, NPV, and cost-benefit analysis.
• Lead COGS modeling including labor, overhead, scrap, and process costs.
• Develop scrap and yield models to quantify cost impacts.
• Design and maintain OEE models to improve manufacturing efficiency.
• Support factory layout, site planning, and material flow decisions with data analytics.
• Run scenario analysis and sensitivity studies for production strategies and capacity expansion.
• Develop or leverage factory simulation models using FlexSim, AnyLogic, Simio.
• Support ramp-up, installation, and readiness through model validation and performance tracking.
• Collaborate with Manufacturing, Operations, Supply Chain, Finance, and Engineering.
• Translate analyses into business insights and recommendations.
• Work with MES and Controls teams to integrate shop-floor data into IE models and dashboards.

Skills

Capacity planning

Labor optimization

Data analytics

Scenario analysis

Executive-level insights

Education

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

Tools

Excel

Python

SQL

Power BI

Tableau

FlexSim

AnyLogic

Simio

MES

Job description

Prolim global system in Austin, TX is seeking an Industrial Engineering Analytics Engineer to strengthen manufacturing decision-making with integrated modeling and analytics. This role focuses on capacity planning, labor and cost optimization, and bringing shop-floor data into clear dashboards, supported by scenario analysis and AI-enabled data systems.

The role emphasizes building scalable capacity and labor models, leveraging AI-enabled data systems, and collaborating across Manufacturing,