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 leaders
- Proven track record of developing hiring velocity models that accurately forecast recruiter capacity and pipeline requirements
- Advanced degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field
#LI-RL2 #LI-Hybrid
Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.
The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler's hybrid working model and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Skills Required
- Demonstrated curiosity and active exploration of AI tools and integrating new technologies into workflows
- High proficiency in SQL
- Proficiency in Python or R
- Experience with BI tools such as Tableau, Looker, or Power BI
- Deep understanding of recruiting processes, TA workflows, and ATS data structures (e.g., Greenhouse, Ashby, Workday)
- Exceptional business acumen and consultative skills translating data into strategic talent solutions
- Ability to manage competing priorities across long-term infrastructure projects and immediate analytical needs
- Experience designing and deploying self-serve predictive analytics dashboards for enterprise Talent Acquisition leaders
- Proven track record developing hiring velocity models that forecast recruiter capacity and pipeline requirements
- Advanced degree in Data Science, Statistics, Computer Science, Economics, or related quantitative field
What We Do
Zscaler accelerates digital transformation so our customers can be more agile, efficient, resilient, and secure. Our cloud native Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Why Work With Us
Our impact comes from how we work—every day, in every decision, as one team. Our values and leadership principles are more than words; they're our operating system. They fuel a culture of execution where trust, transparency, and accountability help us deliver meaningful results for our customers, colleagues, and our company. www.zscaler.com/culture
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Employees engage in a combination of remote and on-site work.
