Quality Data Analyst

Join a team where your impact reaches beyond the stars! At Terran Orbital, you’re not just part of the system – you’re a vital force propelling our mission forward. As trailblazers in satellite manufacturing and aerospace innovation, we shatter boundaries daily to deliver groundbreaking solutions that power our nation’s defense and commercial missions. We are a unique, fast‑growing, and trusted team dedicated to swiftly and efficiently designing, building, launching, and operating state‑of‑the‑art satellites for advanced mission constellations.

If you’re driven by purpose, inspired by challenges, and ready to leave your mark on the universe, you’ll find a home and endless opportunities for growth here. Together, let’s redefine what is possible in orbit and beyond!

The Quality Data Analyst reports to the Sr. Manager, Quality and focuses on analyzing quality performance, developing metrics, dashboards, and KPI reports, forecasting trends, and providing operational leadership with clear, actionable insights. The Analyst works closely with Quality Engineering, Operations, Manufacturing, Assembly & Test, Supply Chain, Safety, and Program teams to ensure Terran Orbital maintains strong reliability, compliance, and continuous improvement throughout program delivery.

The analyst serves as the primary analytical resource for the EH&S, Quality & Mission Assurance organization, responsible for cost‑of‑poor‑quality reporting, first‑pass yields (FPY), waste/scrap reduction, defect trend analysis, NCR performance evaluation, quality forecasting, and visibility into process state‑of‑health.

• Develop, maintain, and improve quality dashboards, KPIs, scorecards, and recurring performance reports.
• Analyze quality data—including nonconformances, defect trends, escapes, cost‑of‑poor‑quality, rework, and inspection throughput—to identify trends and improvement opportunities.
• Prepare weekly, monthly, quarterly, and annual quality performance summaries in alignment with operational and customer requirements.
• Perform variance analysis on inspection output, defect rates, resource utilization, supplier quality metrics, and cost impacts.
• Support quality forecasting and trend modeling, including capacity planning, defect reduction impact, and performance shifts.
• Extract, consolidate, and validate large volumes of data from MES/PLM/ERP systems (Aegis, Jira, D365, Windchill, or equivalent).
• Provide analytical support to leadership for performance evaluation and continuous improvement tracking.
• Support internal and external audits through preparation of quality metrics, compliance data, and documented performance evidence.
• Assist in QMS maintenance reporting required for AS9100 and ISO
  9001 standards.
• Collaborate with Operations, Manufacturing, Assembly & Test, Supply Chain, Safety, and Program to assess supplier and internal performance.
• Participate in quality improvement initiatives, providing data‑driven insights, ROI modeling, and metric development.
• Translate complex data into clear, concise, and actionable insights for cross‑functional and executive audiences.

• Bachelor’s degree in data science, statistics, business analytics, engineering, or related field.
• 3+ years of experience in quality analytics, operations analytics, or data analysis (aerospace/defense industry preferred).
• Proficiency in Excel and data analysis tools with ability to manage and consolidate large datasets.
• Proficiency in BI/reporting tools (Power BI, Tableau, D365 reporting, or similar).
• Experience with MES, PLM, and ERP systems such as Aegis, Jira, D365, Windchill or similar.
• Understanding of key quality metrics such as FPY, DPMO, NCR trends, Cost‑of‑Poor Quality (COPQ), rework rates, inspection throughput, and CAPA effectiveness.
• Strong analytical and problem‑solving abilities, with skill in trend interpretation and metric design.
• High attention to detail and accuracy in documentation and data governance.
• Ability to collaborate effectively across engineering, quality, operations, supply chain, and program teams.
• Excellent written and verbal communication skills and ability to display…