Anduril

4 weeks ago

Data Analyst, Talent Acquisition

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 39 minutes agoStatus: Live

Job Summary

Join Anduril’s Talent Operations Systems team as an Analytics Engineer focused on transforming recruiting and people data into trusted models, metrics, and dashboards. You’ll own dbt models for recruiting funnels, build a semantic layer, and ship self-serve dashboards in Foundry, partnering with TA leadership, sourcers, recruiters, and the People Data team to enable data-driven hiring at scale.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: People, HR & Talent

Key Responsibilities

•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.

Pay and Benefits

Salary: USD 166,000 - 220,000 annually

Key Requirements

•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.
•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.

Experience:5+ yearsRecruitingTalent acquisitionPeople analyticsData analyticsHR analytics

Skills:CommunicationProblem-solvingStakeholder managementCollaborationAnalytical thinking

Languages:English

Tech Stack:SQLDbtFoundryPythonAPIsETLData warehouse

Eligibility

Nationality:US National

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Anduril

Designs and builds advanced defense systems combining autonomous aircraft, sensors, and AI-driven software for military and national security applications, focused on modernizing battlefield capabilities and distributed sensing.

Industry: Defense Technology

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: Costa Mesa, United States

Founded: 2017

Website LinkedIn

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Anduril

4 weeks ago

Data Analyst, Talent Acquisition

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 39 minutes agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: People, HR & Talent

Key Responsibilities

•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.

Pay and Benefits

Salary: USD 166,000 - 220,000 annually

Key Requirements

•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.
•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.

Experience:5+ yearsRecruitingTalent acquisitionPeople analyticsData analyticsHR analytics

Skills:CommunicationProblem-solvingStakeholder managementCollaborationAnalytical thinking

Languages:English

Tech Stack:SQLDbtFoundryPythonAPIsETLData warehouse

Eligibility

Nationality:US National

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Anduril

Industry: Defense Technology

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: Costa Mesa, United States

Founded: 2017

Website LinkedIn