Quality Technician: Data-Driven QA & Analytics

VIAVI Solutions; Rapid City (SD); On-site; USD 65,000 - 85,000; Full time

Job summary

VIAVI Solutions is seeking an Advanced Quality Technician to bridge traditional quality control with modern data analytics. You will use Python, SQL, and machine learning to predict issues and automate data reliability, while performing inspections and coordinating testing activities.

You will document quality observations, help identify and resolve issues, and support project teams in achieving continuous improvement and operational excellence across manufacturing.

Qualifications

• 1-5+ years of progressive experience in a quality function in the Aerospace/Defense Industry.
• Reliability engineering background with experience in developing reliability tests and statistics.
• Excellent analytical, problem-solving, and decision-making skills.
• Ability to influence and collaborate with diverse teams.
• Proficiency in SQL and Python for data automation, extraction, and analysis is a plus.
• Experience with Six Sigma, root-cause thinking, MSA, and SPC is a plus.
• Experience using measuring equipment such as calipers and micrometers.
• Advanced math skills and proficiency with MS Office.
• Experience in database structure and data flows.

Responsibilities

• Investigate, document, and contain nonconforming products.
• Review product history to determine actions in nonconformance resolution.
• Review product test records in company databases.
• Collaborate with Engineering & R&D to discuss observations.
• Work with rework/repair technicians to rework products.
• Maintain accurate inspection reports, quality logs, and testing records.
• Track quality issues through resolution and verify corrective actions.

Skills

Analytical thinking

Problem solving

Team collaboration

Microsoft Office

SQL & Python

Six Sigma

Measuring tools

Quantitative skills

Education

Associate degree or equivalent

Tools

SQL

Python

Job description

VIAVI Solutions is seeking an Advanced Quality Technician to bridge traditional quality control with modern data analytics. You will use Python, SQL, and machine learning to predict issues and automate data reliability, while performing inspections and coordinating testing activities.

You will document quality observations, help identify and resolve issues, and support project teams in achieving continuous improvement and operational excellence across manufacturing.