Supplier Quality Data Analytics EngineerPosted today$194K

Anduril Industries
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The opportunity

The Supplier Quality Engineering team is responsible for ensuring that externally sourced components and assemblies meet Anduril's rigorous quality standards. The team works closely with suppliers, production, and engineering to drive corrective actions, monitor supplier…

What you'll do

  • Use SQL to transform raw ERP and QMS data extractions into structured: datasets within a centralized GitHub repository, with a focus on supplier quality metrics (PPM, DPMO, SCAR cycle time, lot acceptance rates)

  • Use Palantir's Foundry platform to generate dashboards and automated: workflows code repositories for supplier quality reporting

  • Build and maintain supplier scorecards that aggregate quality, delivery, and: responsiveness data to support supplier review boards and business decisions

  • Work with Supplier Quality Engineers and managers to define key performance: metrics (e.g., supplier PPM, SCAR closure rate, first pass yield) and implement systems for tracking over time

  • Develop automated alerting and escalation workflows for non-conformance: trends, repeat defects, and at-risk suppliers

  • Eliminate repetitious processes: such as manual inspection data compilation, SCAR status tracking, and supplier report generation — with programmatic automation

What they're looking for

  • Experience with supplier quality concepts such as incoming inspection,: SCAR/CAPA management, supplier audits, approved supplier list (ASL) governance, and statistical process control (SPC)
  • Familiarity with quality management systems (QMS) and standards such as AS9100, ISO 9001, or IATF 16949
  • Experience working with ERP/MRP systems (SAP, Oracle, NetSuite, or similar): and QMS platforms, with ability to extract and analyze data from these systems
  • Working knowledge of Git/GitHub for version control
  • Experience with APIs and parsing JSON/XML responses into structured datasets
  • Understanding of statistical methods for quality analysis (Pareto, control: charts, capability studies, hypothesis testing)
  • Ability to take a project from ideation to an implementation that drives tangible business impact
  • Continual desire to learn and use new technologies/software inside and outside of work