Staff Data Analyst, People Analytics

Required

• Bachelor's degree in Statistics, Data Science, Computer Science, Analytics, Economics, Mathematics, or a related quantitative field, or an equivalent combination of education and experience.
• 5–8 years of experience in People Analytics, HR Analytics, Workforce Analytics, Data Science, or a related analytics discipline.
• Deliver high-quality analytics that enable better workforce decisions.
• Build scalable dashboards, predictive models, and AI-enabled insights that improve business outcomes.
• Partner effectively across HR and business functions to solve complex workforce challenges.
• Continuously identify opportunities to improve data quality, reporting, automation, and analytics capabilities.
• Contribute to the ongoing evolution of People Analytics through innovation, technical expertise, and a strong customer-focused mindset.

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The Okta Experience

• Supporting Your Well-Being
• Driving Social Impact
• Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.

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• Advanced proficiency in Tableau, Snowflake, Excel, SQL, and other enterprise HR platforms eg Workday, ServiceNow, Greenhouse.
• Strong programming skills using Python and/or R for statistical analysis, predictive modeling, and automation.
• Experience applying advanced statistical methods, including regression, clustering, forecasting, text analytics, and sentiment analysis.
• Experience working with large, complex datasets and applying sound data management and governance practices.
• Strong analytical thinking and problem-solving skills with the ability to translate complex findings into clear business recommendations.
• Excellent data visualization and storytelling skills tailored to technical and non-technical audiences.
• Proven ability to collaborate effectively with cross-functional stakeholders and influence decisions through data.
• Familiarity with Generative AI, Natural Language Processing (NLP), and emerging AI technologies applied to analytics is preferred.
• Strong communication, collaboration, and project management skills with the ability to manage multiple priorities in a fast-paced environment.