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 Planning Analytics team is responsible for deeply understanding our internal planning tooling and process stack and the data that powers them. They will build resources that transform data into ad hoc reporting, dashboards, web applications, and automated workflows to drive measurable improvements to business velocity in the planning space. This team will partner across Anduril's production and CorpTech orgs to establish visibility and accelerate decision making.

WHAT YOU’LL DO

As a Planning Analyst, you will work with our business-wide Analytics Engineering team to ensure their SQL data pipelines are modeled correctly for planning reporting. You will use Palantir's Foundry platform and Databricks as your central resources for conducting ad-hoc analysis for planning teams, as well as producing web applications, dashboards, and automated workflows that write back to our database via Python/Typescript actions. You will gain a deep understanding of the different planning interfaces 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 planning problems.

REQUIRED QUALIFICATIONS

Bachelor’s degree in Analytics, Data Science, Computer Science, Industrial Engineering or related technical field 2+ years of 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 Experience with data visualization and pipeline modeling using React-based application development Proficiency with Databricks and Palantir Foundry platforms Strong proficiency in Microsoft Excel including advanced formulas, live database connections, and VBA Proficient in at least two programming language such as Python or Typescript for analysis, data visualization, and automation; experience building React applications or frontend data pipelines is a plus Expertise in manufacturing operations concepts such as demand, supply, and material planning, bill of materials (BOM) management, work and purchase order management, and physical inventory management 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 Exp