Description
Anduril Industries is seeking a Senior People Data Analyst to support Talent Acquisition. As a member of the People Analytics team, you will build and maintain dashboards, reports, and analytical models that inform recruiting decisions. Day-to-day, you will write complex SQL, design interactive dashboards, and perform deep-dive analyses on metrics like time-to-hire, conversion rates, source effectiveness, and pipeline health. You will own the full analytics lifecycle for TA, including scoping questions with recruiting leadership, pulling and transforming data, building visualizations, and presenting findings.
The role goes beyond scheduled reporting. You will 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.
Key responsibilities include:
- Leading the strategic analysis of key recruiting metrics, developing sophisticated analytical frameworks to proactively identify trends, anomalies, and critical opportunities for strategic optimization and operational improvements across the entire TA lifecycle.
- Designing, building, enhancing, and governing advanced, interactive dashboards and reporting frameworks that provide real-time, deep-dive visibility into TA performance, ensuring high adoption and directly informing strategic decisions.
- Translating 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.
- Serving 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.
- Championing 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.
- Driving the adoption of best-in-class analytics methodologies, tools, and approaches, contributing to the continuous improvement of reporting, analytics capabilities, and the broader people analytics roadmap.