Senior Data Analyst

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.

The People Analytics team is at the forefront of transforming how we understand and optimize our workforce. We are a dynamic group of analytical thinkers and storytellers who leverage advanced analytics and robust methodologies to create strategic insights from complex HR data. Collaborating closely with HR Business Partners, Program Management Teams, Business Operations, Talent Acquisition and various cross functional stakeholders we provide actionable insights that drives informed decisions across the entire employee lifecycle;

from optimizing talent acquisition and development to enhancing engagement and retention. Our work directly shapes a thriving employee experience, fuels organizational growth, and ensures our people strategy is truly data‑driven.

As the Sr. People Data Analyst supporting Talent Acquisition, you’ll build and maintain the dashboards, reports, and analytical models that our recruiting team relies on to make decisions. Day‑to‑day, that means writing complex SQL against our data warehouse, designing interactive dashboards in BI tools, and performing deep‑dive analyses on metrics like time-to-hire, conversion rates, source effectiveness, and pipeline health. You’ll own the full analytics lifecycle for TA: scoping questions with recruiting leadership, pulling and transforming data, building visualizations, and presenting findings.

The role goes beyond scheduled reporting. You’ll develop predictive models to forecast hiring demand, identify where candidates drop off in the funnel, and quantify what’s working across sourcing channels and recruiting programs. The goal is to give TA leaders the data they need before they have to ask for it.

• Lead the strategic analysis of key recruiting metrics (e.g., time-to-hire, source quality, conversion rates, cost-per-hire), developing sophisticated analytical frameworks to proactively identify trends, anomalies, and critical opportunities for strategic optimization and operational improvements across the entire TA lifecycle.
• Design, build, enhance, and govern advanced, interactive dashboards and reporting frameworks that provide real‑time, deep‑dive visibility into TA performance, ensuring high adoption and directly informing strategic decisions.
• Translate complex TA data into strategic insights, developing and implementing predictive models to forecast hiring demand, assess talent market dynamics, identify potential bottlenecks, and evaluate the effectiveness of TA initiatives (e.g., diversity programs, employer branding).
• Skillfully translate complex analytical findings into clear, concise, and compelling narratives and recommendations for senior TA leadership and executive stakeholders, influencing strategic direction through impactful presentations and written reports.
• Serve as the primary strategic data consultant, partnering closely with Talent Acquisition leadership and the TA Analytics Project Manager to deeply understand their analytical needs, align on critical priorities, and proactively identify opportunities for strategic data application that drives significant business outcomes.
• Champion data integrity within the TA domain, architecting solutions for data governance, conducting rigorous data audits, and collaborating cross‑functionally to streamline processes and enhance the reliability and consistency of TA‑related data.
• Drive the adoption of best‑in‑class analytics…