Industrial Engineering Analytics Engineer

ClinDCast LLC • Pittsburgh, PA

4d • $60 - $65

About The Position

This role focuses on leveraging industrial engineering principles and data analytics to optimize manufacturing systems and processes. The engineer will be responsible for developing models and conducting analyses related to capacity, labor, cost, and overall manufacturing efficiency. The position requires a strong technical background with hands-on experience in manufacturing analytics and modeling, particularly within a factory operations environment.

Requirements

• 7+ years of experience in industrial engineering analytics or manufacturing modeling.
• Expertise in capacity modeling (OEE, cycle time, bottleneck analysis).
• Expertise in labor and cost modeling (COGS, LOH, ROI, NPV, IRR).
• Proficiency in manufacturing analytics and process optimization.
• Experience with simulation tools such as FlexSim, AnyLogic, or Simio.
• Advanced skills in Excel, SQL, Python, and Power BI/Tableau.
• Experience with PFEP, material flow modeling, forecasting, and scenario analysis.
• Strong factory operations, throughput optimization, and cost analysis experience.
• Experience with MES, shop-floor data integration, and business case development.
• Demonstrated technical Subject Matter Expertise (SME) with hands-on manufacturing analytics and modeling.

Nice To Haves

• Experience with AI/ML-based analytics.

Responsibilities

• Develop and maintain capacity models, including OEE, cycle time, and bottleneck analysis.
• Create and utilize labor and cost models, incorporating metrics such as COGS, LOH, ROI, NPV, and IRR.
• Perform manufacturing analytics and drive process optimization initiatives.
• Utilize simulation tools like FlexSim, AnyLogic, or Simio for modeling and analysis.
• Apply advanced Excel, SQL, Python, and Power BI/Tableau for data analysis and visualization.
• Conduct PFEP, material flow modeling, forecasting, and scenario analysis.
• Integrate and analyze shop-floor data, potentially involving MES systems.
• Develop business cases for proposed improvements and investments.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed