Anduril Industries is a defense technology company with a mission to transform U.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 Talent Operations Systems team is responsible for the systems, data, process, and infrastructure that make Anduril's recruiting function work at scale. We work in a highly cross-functional manner, sitting between TA leadership, recruiters, business leaders, and the people data team to drive recruiting processes and systems and turn fragmented operational data into a trusted, decision-ready data product. Our work directly shapes how Anduril finds, evaluates, and hires the engineers, operators, and builders behind the future of defense, and it's how recruiting leadership knows where to invest, what's working, and where the funnel is breaking.
ABOUT THE JOB
We are looking for an Analytics Engineer, Talent Acquisition to join our rapidly growing Talent Operations team. In this role, you will be the analytics engineer embedded inside our TA function, responsible for transforming recruiting and people data into the models, metrics, and dashboards that recruiting leadership, sourcers, and recruiters use every day to run the function. You will partner directly with the people doing the work, learn the underlying recruiting processes end-to-end, and translate fuzzy business questions into clean dbt models, a coherent semantic/metrics layer, and self-service dashboards that users trust and regularly turn to. You will also partner with the People Data team to own the ingestion and warehousing layer where it matters — but most of your time will go to modeling, metrics, dashboards, and stakeholder partnership.
This will require strong SQL, production dbt, real experience with a semantic/metrics layer and self-service BI tooling (we use Foundry), working Python for custom API connectors, and prior depth in recruiting, talent acquisition, or people analytics data. If you are someone who is genuinely curious about the TA domain, who wants to sit with users and learn their processes before writing a line of SQL, who has a real point of view on what "good" looks like for recruiting metrics, and who enjoys fast but responsible iteration and builds, then this role is for you.