Quality Assurance Technician — Data-Driven Analytics

Viavi Solutions Inc.; Rapid City (SD); On-site; USD 65,000 - 90,000; Full time

Job summary

VIAVI Solutions is seeking an Advanced Quality Technician in Rapid City, SD to bridge traditional quality control with data analytics. You will investigate nonconformances, review records, and work with Engineering and R&D to identify root causes and implement corrective actions.

Responsibilities include NCR processing, QA reporting, and maintaining quality documentation while leveraging SQL, Python, and SPC tools to improve reliability and product quality across manufacturing and test

Qualifications

• Associate degree or equivalent from a two-year college or technical school.
• Experience in aerospace/defense quality functions preferred.
• Proficiency in SQL and Python (or R) for data automation and analysis.
• Strong analytical, problem-solving, and decision-making skills.
• Experience with reliability engineering and SPC is a plus.
• Proficiency with Microsoft Excel.

Responsibilities

• Investigate, document, and contain nonconforming products.
• Review product history and test records to determine disposition.
• Review product test records in company databases.
• Collaborate with Engineering & R&D to discuss observations.
• Coordinate with rework/repair technicians to rework products.
• Manage NCRs and distribute documentation.
• Support data-driven improvements across test and manufacturing ops.
• Maintain inspection reports, quality logs, and project documentation.
• Track issues through resolution and verify corrective actions.

Skills

SQL

Python

R

Data analytics

Six Sigma

Analytical thinking

Problem-solving

Excel

Data automation

Education

Associate degree or equivalent

Tools

Calipers

Micrometers

Gauges

Database knowledge

Job description

VIAVI Solutions is seeking an Advanced Quality Technician in Rapid City, SD to bridge traditional quality control with data analytics. You will investigate nonconformances, review records, and work with Engineering and R&D to identify root causes and implement corrective actions.

Responsibilities include NCR processing, QA reporting, and maintaining quality documentation while leveraging SQL, Python, and SPC tools to improve reliability and product quality across manufacturing and test