Anduril Industries Winter 2027 Supply Chain Analyst Co-op at Anduril Industries using SQL and Palantir Foundry to transform data and generate dashboards. Supports supply chain teams by automating processes and embedding AI into workflows.
Responsibilities
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
Work with supply chain teams to define key performance metrics and implement systems for tracking over time
Eliminate repetitious processes with programmatic automation in Python
Manage cross-functional projects with clear and concise communication on timelines
Assess and incorporate external data sources and software that could bring valuable insight for supply chain teams
Educate business users with training/documentation and drive user adoption with a continual feedback loop
Embed AI into workflows via Palantir’s Foundry platform to help summarize and drive signal from noise
Qualification
Must be a UExperience in analytics
Required
Must be pursuing a bachelor’s or master’s degree in Analytics, Data Science, Computer Science, Industrial Engineering, or a related field.
Must be returning to school at the end of the internship to continue academic studies for at least one quarter or semester.
Must be a U.S. Person due to required access to U.S. export-controlled information or facilities; U.S. clearance eligibility may be required depending on program.
Ability to complete an in-person 16 to 24-week internship in one of our offices in winter 2027.
Preferred
Experience in analytics, operations engineering, data engineering, or software engineering roles, preferably in complex hardware technology industries
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
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
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