AI-Driven Supplier Quality Analytics Engineer

Anduril Industries, Inc.; Costa Mesa (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Anduril Industries, Inc. is seeking a Supplier Quality Data Analytics Engineer to join the Supplier Quality Engineering team in California.

You will build data infrastructure, dashboards, and automated workflows that provide real-time visibility into supplier performance, non-conformance trends, and incoming inspection results. Using Palantir Foundry as the central platform, you will conduct ad-hoc analysis, develop interactive dashboards, and write back to our systems of record, driving

Qualifications

• Bachelor's degree or equivalent in analytics, CS, industrial, or quality engineering.
• 2+ years in analytics, data engineering, or quality/operations roles in hardware manufacturing.
• Expert SQL skills across multiple data sources.
• Experience with data visualization and Palantir Foundry is a plus.
• Proficiency in Excel with advanced functions and VBA.

Responsibilities

• Transform ERP and QMS data into structured datasets using SQL.
• Build dashboards and automated workflows in Palantir Foundry for supplier quality reporting.
• Create supplier scorecards combining quality, delivery, and responsiveness data.
• Define KPIs like supplier PPM and SCAR closure rate with time-tracking.
• Develop automated alerting for non-conformance trends and risky suppliers.
• Automate manual data compilation and report generation to reduce toil.
• Manage cross-functional projects with clear timelines and stakeholders.
• Incorporate external data sources for supplier risk insights.
• Educate engineers on analytics tools and drive user adoption.
• Embed AI patterns in workflows to identify non-conformance signals.

Skills

SQL

Data analysis

Cross-functional collaboration

Quality engineering mindset

Education

Bachelor's degree in Analytics/CS/Engineering

Relevant technical field

Tools

Tableau

Power BI

Looker

Palantir Foundry

Excel

Python

Job description

Anduril Industries, Inc. is seeking a Supplier Quality Data Analytics Engineer to join the Supplier Quality Engineering team in California.

You will build data infrastructure, dashboards, and automated workflows that provide real-time visibility into supplier performance, non-conformance trends, and incoming inspection results. Using Palantir Foundry as the central platform, you will conduct ad-hoc analysis, develop interactive dashboards, and write back to our systems of record, driving