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Supplier Quality Data Analytics Engineer

Anduril· Quality Reliability & System Safety : Quality Engineering : Supplier Quality Engineering
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Costa Mesa, CA$146k - $194kFull-timePosted 2w ago

About the role

Embedded analytics partner within the Supplier Quality Engineering organization responsible for building and maintaining data infrastructure, dashboards, and automated workflows to monitor supplier performance, non-conformance trends, corrective action effectiveness, and incoming inspection results using Palantir Foundry.

Responsibilities

  • Use SQL to transform raw ERP and QMS data extractions into structured datasets within a centralized GitHub repository, focusing 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
  • Manage cross-functional projects with clear and concise communication on timelines, partnering with supply chain analytics, production quality, and engineering teams
  • Assess and incorporate external data sources that could bring valuable insight to supplier quality risk management
  • Educate supplier quality engineers with training and documentation on analytics tools, and drive user adoption through a continual feedback loop
  • Embed AI into workflows via Palantir's Foundry platform to help identify patterns in non-conformance data, predict supplier risk, and drive signal from noise

Qualifications

  • Bachelor's degree in Analytics, Data Science, Computer Science, Industrial Engineering, Quality Engineering, or related technical field
  • 2+ years of experience in analytics, data engineering, quality engineering, or operations engineering roles, preferably in complex hardware technology or manufacturing industries
  • Expertise in SQL with demonstrated ability to write complex queries across multiple data sources
  • Expertise in data visualization platforms such as Tableau, Looker, Power BI, Streamlit, Dash, or Palantir Foundry
  • Strong proficiency in Microsoft Excel including advanced formulas, live database connections, and VBA
  • Proficient in at least one additional programming language such as Python, R, Typescript, or similar, for analysis, data visualization, and automation
  • Ability to relocate or be local to Costa Mesa, CA
  • Ability to travel up to 10% of the time

Skills

Required:SQLData VisualizationPython/R/TypescriptExcel/VBA

Benefits

  • Comprehensive, competitive benefits package (health, recovery, and more) available at little to no cost to employees
Last updated Oct 7, 2026. Interested? Apply on the company site.

About Anduril

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