Supplier Quality Data Analytics Engineer

Anduril Industries; Costa Mesa (CA); In loco; USD 146.000 - 194.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity grants

Benefits package

Descrizione del lavoro

Anduril Industries is seeking a Supplier Quality Data Analytics Engineer embedded in the Supplier Quality Engineering team in Costa Mesa, CA. You will build data infrastructure, dashboards, and automated workflows using Palantir Foundry to give real-time visibility into supplier performance and non-conformance trends.

You will collaborate across quality, manufacturing, and engineering, define KPIs, write back to systems of record, and develop proactive alerting and AI-assisted insights to

Competenze

• Bachelor’s degree in Analytics, Data Science, CS, IE or related field.
• 2+ years in analytics, data engineering, quality or operations engineering.
• Expertise in SQL across multiple data sources.
• Experience with data visualization platforms and Palantir Foundry.
• Strong Excel skills with advanced formulas and VBA.

Mansioni

• Transform ERP/QMS data into structured datasets for supplier quality metrics.
• Use Palantir Foundry to create dashboards and automated reporting.
• Build supplier scorecards combining quality, delivery, and responsiveness data.
• Define KPIs and track them over time with reliable systems.
• Develop automated alerting for non-conformance trends and at-risk suppliers.
• Automate repetitive data tasks to improve efficiency.
• Collaborate across supply chain analytics, production quality and engineering.
• Incorporate external data sources for supplier quality risk insights.
• Educate engineers on analytics tools and drive adoption.
• Embed AI to identify patterns and drive supplier risk insights.

Conoscenze

SQL

Data Visualization

Excel

Python

Git/GitHub

Communication

Problem-solving

Formazione

Bachelor's degree

Strumenti

Palantir Foundry

Tableau/Looker/Power BI

ERP/MRP systems (SAP/Oracle/NetSuite)

Descrizione del lavoro

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

ABOUT THE TEAM

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 performance, and continuously improve incoming material quality across Anduril’s product portfolio. As the organization scales rapidly, data-driven decision making is critical to identifying trends, prioritizing supplier interventions, and measuring the effectiveness of quality programs.

ABOUT THE JOB

As a Supplier Quality Data Analytics Engineer, you will be embedded within the Supplier Quality Engineering organization and serve as the team’s dedicated analytics partner. You will build and maintain the data infrastructure, dashboards, and automated workflows that give supplier quality engineers real-time visibility into supplier performance, non-conformance trends, corrective action effectiveness, and incoming inspection results. Using Palantir’s Foundry platform as your central resource, you will conduct ad-hoc analysis, produce interactive dashboards, and develop automated workflows that write back to our systems of record. You will gain a deep understanding of supplier quality processes — from incoming inspection and SCAR management to supplier audits and approved supplier list governance — and craft tools that drive measurable improvements in supplier quality outcomes.

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
• 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

REQUIRED 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

PREFERRED QUALIFICATIONS

• 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

  PREFERRED QUALIFICATIONS

  • 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

  US Salary Range

  $146,000—$194,000 USD

  The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril’s total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:

  Benefits

  At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.

  Data Privacy

  To view Anduril’s candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.

  By submitting your application, you consent to Anduril Industries using a third‑party service provider to conduct pre‑employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third‑party service provider provides risk‑intelligence services that may include analysis of sanctions and watchlists, adverse media, public‑record information, and other lawful open‑source or commercial data sources. This third‑party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.