andurilindustries
Supply Chain Engineer, Analytics
At a Glance
- Location
- United States
- Experience
- 2+ years
- Department
- Supply Chain
- Posted
- 2026-02-17T15:29:07-05:00
Key Requirements
Required Skills
Domain Knowledge
- Automation
- Education
- Engineering
- Finance
- Healthcare
- Insurance
- Legal
- Medical
- Supply Chain
Benefits & Perks
toward your private health insurance for you and your dependents. Additional
Requirements
Expertise in SQL with demonstrated ability to write complex queries
Expertise in data visualization platforms such as Tableau, Looker, Power BI, Streamlit, Dash, or Palantir Foundry
Proficient in at least one additional programming language such as Python, R, Typescript or similar, for analysis, data visualization, and automation
Expertise in supply chain concepts such as material planning, bill of materials (BOM) management, supplier delivery and quality metrics, should cost analysis
Experience working with ERP/MRP systems (SAP, Oracle, NetSuite, or similar) and extracting/analyzing data from these platforms
Working knowledge of Git/GitHub for version control
Responsibilities
As a Supply Chain Analytics Engineer, you will work with our business-wide Analytics Engineering team to ensure their SQL data pipelines are modeled correctly for supply chain reporting.
You will use Palantir’s Foundry platform as your central resource for conducting ad-hoc analysis for supply chain teams, as well as producing dashboards and automated workflows that write back to our database via Python/Typescript actions.
You will gain a deep understanding of the different supply chain domains, and craft tools that drive insights and workflows that enable real cost and time savings business impacts.
You are onboard with the goal of building out a world-class business analytics layer with truly novel solutions to supply chain problems.
Use SQL to transform raw ERP data extractions into structured datasets within a centralized GitHub repository
Use Palantir’s Foundry platform to generate dashboards and automated workflows backed by Python/Typescript code repositories
Team
The Supply Chain Analytics team is responsible for deeply understanding our internal supply chain data sources and transforming this data into: ad hoc reporting, dashboards, web applications, and automated workflows. The team partners with all of Anduril's supply chain (Procurement, Strategic Sourcing, Materials Management, etc.) and is tasked with equipping these teams with tools to deepen their visibility and accelerate processes.