Quality Technician — Data-Driven QA Lab & ISO Systems

Corning Inc.; Phoenix (AZ); On-site; USD 34,000 - 37,000; Full time

Benefits offered by this job

Bonuses and incentives

401(k) plan with company match

Health insurance

Paid parental leave

Job summary

Corning Inc. in Phoenix, AZ is seeking a Quality Technician to perform sampling inspections of incoming materials, conduct reliability testing, and maintain records and methods in a fast-paced manufacturing environment.

You will manage test instruments, ensure ISO compliance, support 6S, and collaborate with QA specialists on documentation, audits, and process improvements. The role requires a Bachelor’s degree or equivalent and strong statistical/data analysis skills.

Qualifications

• Requires a bachelor's degree or equivalent work experience.
• Strong statistical and analytic capabilities are required.
• Experience with ISO quality standards preferred.

Responsibilities

• Perform sampling inspections of incoming materials and record data.
• Conduct reliability testing and maintain test records.
• Manage test instruments and lab facilities; ensure calibration.
• Implement 6S and participate in improvement projects.
• Support document reviews and audit readiness.
• Assist with QA collaborations and training.
• Contribute to process optimization and innovation initiatives.
• Maintain ISO compliance and corrective actions.
• Participate in team training and knowledge sharing.

Skills

Hypothesis testing

Regression analysis

Time series analysis

Education

Bachelor’s degree in data management or equivalent

Tools

SQL

R

Python

Job description

Corning Inc. in Phoenix, AZ is seeking a Quality Technician to perform sampling inspections of incoming materials, conduct reliability testing, and maintain records and methods in a fast-paced manufacturing environment.

You will manage test instruments, ensure ISO compliance, support 6S, and collaborate with QA specialists on documentation, audits, and process improvements. The role requires a Bachelor’s degree or equivalent and strong statistical/data analysis skills.