Anduril Industries
Supply Chain Engineer, Analytics
About this role
Anduril Industries seeks a Supply Chain Analytics Engineer to transform supply chain data into actionable insights using SQL, Palantir Foundry, and Python/Typescript. You'll build dashboards, automate workflows, and partner with supply chain teams to drive cost and time savings across the organization.
What you'll do
- Transform raw ERP data into structured datasets using SQL and GitHub repositories
- Create dashboards and automated workflows in Palantir Foundry with Python/Typescript code
- Define and track key performance metrics for supply chain teams
- Automate repetitive processes and evaluate external data sources for supply chain insights
- Manage cross-functional projects and communicate timelines clearly
- Train business users and gather feedback to drive adoption of analytics tools
What they're looking for
- SQL (complex queries)
- Data visualization platforms (Tableau, Looker, Power BI, Palantir Foundry)
- Python or Typescript
- Microsoft Excel (advanced)
- ERP/MRP systems knowledge
- Git/GitHub version control
- API integration and JSON/XML parsing
- Supply chain domain expertise (preferred)
Benefits
- Competitive salary ($129,000–$171,000 USD)
- Equity grants included in majority of full-time offers
- Work on cutting-edge defense technology
- Opportunity to build world-class analytics solutions
- Access to Palantir Foundry platform and AI tools
- Up to 10% travel requirement
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Anduril Industries
Anduril Industries builds autonomous defense systems including underwater vehicles, unmanned aircraft, and electronic warfare platforms for the Department of Defense. The company is hiring across mechanical engineering, mission operations, software development, technical leadership, and advanced manufacturing roles to support the design, deployment, and production of these mission-critical systems.
- Website
- anduril.com
Likely interview questions
- Walk us through a complex SQL query you've written to transform raw ERP data. What challenges did you face and how did you optimize it?
- Describe your experience with Palantir Foundry or similar data visualization platforms. How have you used Python or Typescript actions to automate workflows?