Staff Data Analyst, People Analytics
Okta · Posted Oct 20
Cloud-based identity and access management solutions for workforce and customer security
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About the role
Okta builds trusted, neutral identity infrastructure that secures AI and human identities, and its People Analytics team sits at the center of the company's data-driven people strategy. The team delivers analytics across the employee lifecycle in partnership with HR, Talent Acquisition, Finance, IT, and Legal. This role develops dashboards, predictive models, statistical analyses, and NLP/Generative AI-driven insights to support workforce planning, attrition and pipeline analytics, and executive decision-making.
What you will do
- Analyze and report on the employee lifecycle—from hiring and onboarding through development and exit—by developing dashboards and reports that provide insights into hiring, attrition, engagement, performance, promotions, compensation, headcount, and organizational health.
- Partner with People Business Partners, Talent Acquisition, Compensation, Finance, and other Centers of Excellence to deliver analytics supporting quarterly business reviews, workforce planning, and organizational effectiveness initiatives.
- Design scalable reporting solutions and self-service dashboards that improve access to trusted workforce insights.
- Collaborate with HR Technology and data teams to ensure data quality, governance, and consistency across people data platforms.
- Translate business questions into analytical approaches and communicate findings through compelling visualizations and executive-ready presentations.
- Design, develop, and maintain predictive analytics models that help identify workforce trends, risks, and opportunities.
- Apply advanced statistical techniques, including regression analysis, clustering, forecasting, survival analysis, and segmentation, to solve business problems.
- Build and validate predictive models supporting areas such as:
- Attrition prediction
- Workforce forecasting
- Employee lifecycle and tenure analysis
- Hiring and talent pipeline analytics
- Recommend data-driven solutions that improve workforce planning and organizational decision-making.
- Continuously evaluate emerging analytical methods and technologies to improve People Analytics capabilities.
- Apply Natural Language Processing (NLP) techniques to analyze employee feedback from surveys, onboarding, exit interviews, and other listening channels.
- Use topic modeling, sentiment analysis, and text analytics to identify emerging themes and actionable insights.
- Explore and prototype Generative AI use cases that automate narrative reporting, summarize workforce trends, and enhance the delivery of people insights.
- Partner with HR Technology and analytics teams to evaluate AI-enabled solutions that improve reporting efficiency and decision support while maintaining appropriate governance and data privacy standards.
Skills used in this role
What the employer is looking for
- 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.
- 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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Okta
Okta is a leading independent provider of cloud-based identity and access management solutions that securely connect people and technologies to the right applications. The company powers both Workforce Identity and Customer Identity platforms, allowing organizations to securely manage user access and navigate modern challenges like agentic AI security.
- Industry
- Enterprise Software
- Company size
- 7500+ employees
- Founded
- 2009
- Location
- San Francisco, California, USA
- Funding stage
- Public Company
Funding
Public Company · $228M raised
- 2010-02-01Series A$10M
- 2011-08-01Series B$16.5M
- 2012-12-01Series C$25M
- 2013-09-01Series D$27M
- 2014-06-01Series E$75M
- 2015-09-01Series F$75M
- 2018-02-21Post IPO Debt$300M
Leadership
Co-Founder and Chief Executive Officer
Co-Founder and Executive Vice Chairman
Chief Marketing Officer
Chief Legal Officer
Recent coverage
Okta Newsroom
Okta expands its independent and neutral identity security fabric with new capabilities across governance, PAM, and ITDR2026-09-09
Okta Newsroom
Okta introduces new AI Agents innovations to increase visibility, secure runtime connections, and enforce agent governance2026-09-22
Okta Newsroom
Okta wins 2026 AI Breakthrough Award for AI Security Innovation2026-05-21
Okta Newsroom
Okta named a leader in the Workforce Identity Security Platforms Report2026-05-21