Analytics Engineer, Talent Aquisition

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. 

WHAT YOU’LL DO 

• Partner directly with recruiting leadership, sourcers, and recruiters — learn the recruiting processes end-to-end and understand the context behind the data and translate fuzzy business questions into specific, well-scoped data products.
• Own dbt models for sourcing funnels, candidate journey, requisition lifecycle, sourcer/recruiter activity, outreach, and hiring outcomes — so the same numbers show up the same way everywhere they're consumed.
• Build and maintain a semantic/metrics layer that defines metrics once and exposes them consistently to self-serve dashboards for downstream consumers.
• Ship self-service dashboards (in Foundry) — for example: funnel health, time-to-fill, sourcer productivity, outreach response rates, source-of-hire, pipeline coverage by req, conversion by stage and segment — and iterate with users until they actually self-serve.
• Write and maintain custom connectors for systems without off-the-shelf integrations (for TA tools), and partner with People Data Team on orchestration, scheduling, and the warehouse layer that everything sits on.
• Partner with TA Ops team to enforce data quality so leadership can trust the numbers in board decks, headcount reviews, and weekly business reviews.
• Handle people-data with rigor — PII, role-based access, audit trails, and ITAR/CUI considerations where applicable.

REQUIRED QUALIFICATIONS 

• 5+ years in analytics engineering, data engineering, or a hybrid role, with at least 2 years specifically in recruiting analytics, talent acquisition data, or broader people analytics.
• Deep familiarity with the recruiting domain: ATS schemas, funnel mechanics, requisition lifecycle, etc. with a point of view on what "good" looks like for recruiting metrics — funnel conversion, pass-through rates, sourcer effectiveness, source-of-hire attribution, and DEI reporting done rigorously and legally.
• Strong SQL and production experience with dbt — modular, tested, well-documented models.
• Experience building a real semantic/metrics layer that humans and BI tools actually query through.
• Track record shipping self-service dashboards for use at scale — meaning end users actually used it without coming back for every question.
• Working Python skills and real experience writing and operating custom API connectors in production.
• Comfort with modern orchestration, ELT tooling, and a cloud warehouse.
• Sharp judgment about when to invest in infrastructure vs. answer the question manually.
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities

PREFERRED QUALIFICATIONS 

• Scaled recruiting analytics at a high-growth company (5,000+ employees) from "spreadsheets and tribal knowledge" to a trusted data product.
• Experience building self-serve dashboards in Foundry.
• Experience embedded in or directly partnering with a TA / recruiting function as the primary data person.
• Familiarity with handling PII and access control on sensitive people datasets in a regulated environment.
• Comfortable using modern AI tools to expedite dashboard builds, where and when appropriate.