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: 42 minutes agoStatus: Live

Job Summary

Analytics Engineer embedded in the Talent Acquisition function, responsible for transforming recruiting and people data into models, metrics, and dashboards used by TA leadership, sourcers, and recruiters. Develop dbt models and a semantic/metrics layer, build self-service dashboards in Foundry, and ensure data quality and secure handling of PII in a cloud data stack.

Location: Boston

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 translate business questions into data products.
•Own dbt models for sourcing funnels, candidate journey, requisition lifecycle, sourcer/recruiter activity, outreach, and hiring outcomes; ensure consistent definitions across dashboards.
•Build and maintain a semantic/metrics layer that defines metrics once and exposes them to self-serve dashboards.
•Ship self-service dashboards (Foundry) such as funnel health, time-to-fill, sourcer productivity, and source-of-hire; iterate with users for true self-service.
•Write and maintain custom connectors for systems without off-the-shelf integrations; collaborate with People Data Team on orchestration and warehouse layer

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 view on recruiting metrics (funnel conversion, pass-through rates, source-of-hire attribution, DEI reporting)
•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, with end users actively using them without repeated questions

Experience:5+ yearsTalent acquisitionRecruiting analyticsPeople analytics

Skills:CommunicationCollaborationProblem-solvingStakeholder management

Languages:English

Tech Stack:SQLDbtFoundryPythonAPIsCloud

Eligibility

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: 42 minutes agoStatus: Live

Job Summary

Location: Boston

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 translate business questions into data products.
•Own dbt models for sourcing funnels, candidate journey, requisition lifecycle, sourcer/recruiter activity, outreach, and hiring outcomes; ensure consistent definitions across dashboards.
•Build and maintain a semantic/metrics layer that defines metrics once and exposes them to self-serve dashboards.
•Ship self-service dashboards (Foundry) such as funnel health, time-to-fill, sourcer productivity, and source-of-hire; iterate with users for true self-service.
•Write and maintain custom connectors for systems without off-the-shelf integrations; collaborate with People Data Team on orchestration and warehouse layer

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 view on recruiting metrics (funnel conversion, pass-through rates, source-of-hire attribution, DEI reporting)
•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, with end users actively using them without repeated questions

Experience:5+ yearsTalent acquisitionRecruiting analyticsPeople analytics

Skills:CommunicationCollaborationProblem-solvingStakeholder management

Languages:English

Tech Stack:SQLDbtFoundryPythonAPIsCloud

Eligibility

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