Fabrication Data Analyst for OEE & Process Insight

Socket.dev; Jacksonville (FL); On-site; USD 70,000 - 100,000; Full time

Job summary

IEM is seeking a Fabrication Data Analyst to enable data-driven decision making across Sheet Metal, Busbar, and Powder Coating operations. You will own collection, analysis, and visualization of fabrication performance data, including OEE, utilization, scrap, labor efficiency, and capacity.

Reports to the Director of Operations. You will collaborate with the Fabrication team to support process standardization, control, and continuous improvement, translating MES and OEE data into actionable

Qualifications

• Bachelor’s degree or higher in engineering, industrial engineering, data analytics, or related technical field.
• 2–5 years of experience in manufacturing analytics or operations analysis.
• Strong proficiency with ERP, data visualization, and SQL.

Responsibilities

• Collect, clean, validate, and analyze fabrication data from OEE, MES, ERP (SyteLine), and manual sources to generate accurate performance insights.
• Develop and maintain dashboards and reports using Power BI, Tableau, or similar tools.
• Monitor and evaluate KPIs including OEE, utilization, scrap, throughput, labor efficiency, capacity, and schedule attainment.
• Provide detailed root-cause data analysis for downtime, quality issues, delays, or process instability.

Skills

Power BI

Tableau

SQL

Excel

Data storytelling

Manufacturing analytics

Education

Bachelor's degree in Engineering/Industrial/Data Analytics

Tools

Infor SyteLine

MES

Job description

IEM is seeking a Fabrication Data Analyst to enable data-driven decision making across Sheet Metal, Busbar, and Powder Coating operations. You will own collection, analysis, and visualization of fabrication performance data, including OEE, utilization, scrap, labor efficiency, and capacity.

Reports to the Director of Operations. You will collaborate with the Fabrication team to support process standardization, control, and continuous improvement, translating MES and OEE data into actionable