Data Analyst, Talent Acquisition

ABOUT THE TEAM

The Talent Operations Systems team is responsible for the systems data process and infrastructure that make Andurils 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 its how recruiting leadership knows where to invest whats working and where the funnel is breaking.

ABOUT THE JOB

We are looking for an Data Analyst Talent Acquisition to join our rapidly growing Talent Operations this role you will be the analytics engineer embedded inside our TA function responsible for transforming recruiting and people data into the models metrics tools and applications 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 a coherent semantic/metrics layer and self-service tools and applications 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 and data transformation framework know-how 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 YOULL 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 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 theyre 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 data analytics 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 etc.
• Strong SQL experience.
• 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 (5000 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.

The salary range for this role is an estimate based on a wide range of compensation factors inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience education and/or training critical skills and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Andurils total compensation package. Additionally Anduril offers top-tier benefits for full-time employees including:

Benefits

At Anduril we invest in our people. Our comprehensive competitive benefits package (available at little to no cost to employees) ensures youre supported in health recovery and whatever comes next.For more information Explore Our Benefits.

Data Privacy

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