About **Zscaler** Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an **AI-forward enterprise** , we are constantly pushing the envelope, leveraging the world's largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, **impact in your role matters more than title** and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value **constructive, honest debate** -we're focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on **customer obsession** , collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you're enabled to do your best work and embrace your potential. If you're driven by purpose, thrive on solving complex challenges, and want to be part of the team that's helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. We are looking for a **Staff People Analytics Analyst** to be the dedicated data science and research partner for our Recruiting organization. In this San Jose based, hybrid role [Tuesday-Thursday], you will be in the room where decisions are made, acting as a trusted consultant and strategic partner to our Head of TA Ops and Head of TA. We are not looking for an "order-taker" who waits for us to bring them questions. While you will absolutely help us validate hypotheses and fulfill critical ad-hoc requests, your true value will come from your proactive approach. You are a researcher at heart-someone who digs into the data, identifies trends we haven't noticed, flags bottlenecks before they become problems, and brings a strong, data-backed point of view to the table. You will turn raw workforce and pipeline signals into an actionable recruiting strategy. **What you'll do (Role Expectations)** + Partner directly with TA leadership to interpret complex talent data, craft strategic narratives, and prescribe actionable solutions + Lead proactive research to identify hidden opportunities in sourcing channel quality, interviewer effectiveness, market mapping, and recruiter capacity + Field specific requests from TA leadership to validate assumptions (e.g., "Are we losing candidates at the technical assessment stage?") and turn these ad-hoc requests into scalable, self-serve insights + Own and evolve the core recruiting analytics stack, tracking funnel health, stage conversion rates, time-to-fill, and diversity metrics + Build predictive hiring velocity and capacity forecasting models to align candidate pipelines with organizational headcount targets **Who You Are (Success Profile)** + You are data-driven. You use data and analytics to find the truth, measure what matters, and guide informed decisions with evidence rather than assumptions. + You act like an owner. Your passion for the mission fuels your bias for action, seamlessly navigating between high-level strategy and hands-on execution. + You are a problem-solver. You are endlessly curious and energized by digging into complex workforce data to solve challenging operational problems. + You champion simplicity. You excel at distilling complex statistical concepts into clear, simple, and compelling narratives for non-technical leadership. + You are resilient and adaptable. You thrive in a dynamic environment, effortlessly toggling between strategic modeling and executing fast-paced validation requests. **What We're Looking for (Minimum Qualifications)** + Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving + Strong technical background in data science, quantitative research, or advanced people analytics with high proficiency in SQL, Python or R, and BI tools such as Tableau, Looker, or PowerBI + Deep understanding of recruiting processes, TA workflows, and applicant tracking system (ATS) data structures such as Greenhouse, Ashby, or Workday + Exceptional business acumen and consultative skills with a track record of translating complex data into strategic talent solutions + High degree of agility with the ability to manage competing priorities across long-term infrastructure projects and immediate analytical needs **What Will Make You Stand Out (Preferred Qualifications)** + Experience designing and deploying self-serve predictive analytics dashboards for enterprise Talent Acquisition leader