Data Analyst

INFOSYS NOVA HOLDINGS LLC • Seattle, WA

8d • Onsite

About The Position

Analyze quality, lab, and process data from carbon fiber production lines (precursor, oxidation, carbonization, surface treatment, sizing).
Develop dashboards and reports to track NCRs, SPC trends and line performance.
Support CAPA investigations, customer returns, and variation reduction initiatives using statistical tools.
Monitor and improve key aerospace-quality metrics for customers such as Boeing, Airbus, and major defense primes.
Ensure adherence to AS9100, NADCAP, Hexcel specifications, and customer quality requirements.
Automate data extraction, cleansing, and reporting through  R, Minitab, or similar tools.
Collaborate with Quality Engineering, Operations, Process Engineering, and Lab teams to drive performance improvements at the Kent site.

Requirements

• Bachelor’s degree in aerospace, Industrial, Mechanical Engineering
• 4 -5 years of experience in an engineering classification / position
• Knowledge of SPC, root cause analysis, and statistical problem‑solving.
• Ability to work with large datasets from production equipment, labs, and QMS systems.

Nice To Haves

• Experience in an Aircraft or Aerospace Quality environment
• Knowledge of QE tools used in production ie: SAP, Concessions, Continuous Improvement, RCCA, PFMEA
• Microsoft Office - advanced skill level
• Knowledge of Aerospace industry and standards
• Excellent communication and presentation skills.
• Strong critical thinking, analytical, and problem-solving skills.

Responsibilities

• Analyze quality, lab, and process data from carbon fiber production lines (precursor, oxidation, carbonization, surface treatment, sizing).
• Develop dashboards and reports to track NCRs, SPC trends and line performance.
• Support CAPA investigations, customer returns, and variation reduction initiatives using statistical tools.
• Monitor and improve key aerospace-quality metrics for customers such as Boeing, Airbus, and major defense primes.
• Ensure adherence to AS9100, NADCAP, Hexcel specifications, and customer quality requirements.
• Automate data extraction, cleansing, and reporting through  R, Minitab, or similar tools.
• Collaborate with Quality Engineering, Operations, Process Engineering, and Lab teams to drive performance improvements at the Kent site.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level