Senior People Analyst

To become a Senior People Analyst at Zscaler, you need a minimum of 3 years of experience in People Analytics or a related field. Proficiency in advanced statistical analysis techniques and familiarity with consulting roles in Human Resources is also essential. Candidates with a Master’s degree in Industrial-Organizational Psychology or similar fields are preferred.

As a Senior People Analyst at Zscaler, your key responsibilities include supporting the global strategy team by delivering business intelligence across People & Culture functions. You'll help foster a data-driven and insight-led culture, enabling high-quality workforce decisions that align with company growth objectives. Additionally, you'll analyze growth and retention metrics to provide insights for effective workforce planning.

Preferred skills for the Senior People Analyst role at Zscaler include advanced experience in statistical programming such as R or Python, along with a strong ability to present analytical facts and recommendations. Having a Master's degree in a relevant area such as Organizational Behavior will set candidates apart while providing them a deeper understanding of workforce dynamics.

At Zscaler, the work environment is fast-paced and collaborative, emphasizing innovation and continuous improvement. The company fosters a supportive culture where every employee is encouraged to contribute to the greater good. As a Senior People Analyst, you will be expected to work in the San Jose office three days per week, where you will interact closely with teams across the organization.

The salary for a Senior People Analyst at Zscaler ranges from $105,000 to $150,000 USD annually. This pay range is determined based on role, level, and various other factors, including your skills and experience in the field.

In your response, describe the types of statistical analyses you have utilized in previous roles, such as regression analysis or random forest models. Highlight a specific project where your analytical skills influenced HR decision-making significantly.

Explain your methodology for validating data collection processes, cleaning data, and ensuring consistency. Provide examples of tools or practices you use to maintain data integrity, which is crucial in People Analytics.

Share a concrete example where your analysis led to meaningful changes in workforce planning or retention strategies. Focus on the impact it had on the organization and what outcomes were achieved as a result.

Discuss your strategies for breaking down complex data into understandable insights. Mention techniques like visualization, storytelling, or creating summary reports tailored for specific audiences to engage them.

Mention specific tools you are proficient in, such as R, Python, or Excel, and explain how they've facilitated your analysis process. You can also discuss how you decide which tool to use based on project requirements.

Describe your organizational skills and any tools you use for project management. Highlight your ability to adapt to changing priorities while ensuring high-quality outcomes for all your projects.

Provide insights into the metrics you believe are essential for tracking employee retention such as turnover rates, employee engagement scores, and exit interview feedback, and explain why they are important.

Share an instance where your workforce planning analysis directly contributed to strategic initiatives. Explain the context, your analysis process, and the eventual decision-making it influenced.

Discuss a specific challenge related to data analysis or stakeholder engagement. Focus on the steps you took to resolve the issue, the skills you employed, and the end result for your team or organization.

Express your enthusiasm for Zscaler's mission and its innovative approach to cybersecurity. Highlight how your skills align with their needs and your desire to contribute to a company that values a data-driven culture.