Manufacturing Data & Process Improvement Analyst

Sterling Engineering; Waukegan (IL); On-site; USD 85,000 - 115,000; Full time

Benefits offered by this job

Paid Time Off

Paid Holidays

Medical plans (3 options)

Dental & Vision plans

401(k) with match

ESOP

Job summary

Sterling Engineering is seeking an Operations Excellence (OPEX) Data Analyst to join our team in Waukegan, IL. You will work with production, engineering and operations to turn manufacturing data into insights that improve efficiency, reduce downtime, and drive operational excellence.

The role requires a Bachelor's degree and 3+ years of manufacturing analytics, with strong skills in Power BI, Excel, SQL, and ERP systems such as SAP. Experience with MES and Six Sigma is preferred.

Qualifications

• Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Business Analytics or a related technical field.
• 3+ years of experience supporting manufacturing operations, process improvement, or production analytics.
• Experience in a manufacturing environment (pharmaceutical, food, automotive, consumer products, or industrial).
• Strong experience with Power BI and Microsoft Excel.
• Experience with ERP systems such as SAP.
• Familiarity with MES or manufacturing execution systems.
• Knowledge of SQL for data extraction and reporting.
• Experience supporting Lean Manufacturing, Six Sigma, Kaizen, 5S, or Operational Excellence initiatives.

Responsibilities

• Turn manufacturing data into meaningful insights to improve efficiency and reduce downtime.
• Build dashboards and reports for production leadership to drive operational excellence.

Skills

Analytical thinking

Problem solving

Communication

Cross-functional collaboration

Education

Bachelor's degree in Industrial Engineering / Manufacturing / Analytics

Tools

Power BI

Excel

SQL

SAP

MES

QlikSense

Tableau

Job description

Sterling Engineering is seeking an Operations Excellence (OPEX) Data Analyst to join our team in Waukegan, IL. You will work with production, engineering and operations to turn manufacturing data into insights that improve efficiency, reduce downtime, and drive operational excellence.

The role requires a Bachelor's degree and 3+ years of manufacturing analytics, with strong skills in Power BI, Excel, SQL, and ERP systems such as SAP. Experience with MES and Six Sigma is preferred.