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Salary: USD 133,000 - 205,000 / annual
Okta's People Analytics team is seeking a Staff Data Analyst to lead the design and delivery of people analytics solutions that drive workforce planning, organizational effectiveness, and employee experience across the organization.
You will develop advanced predictive models, create scalable dashboards, and apply emerging AI technologies to solve complex workforce challenges. This role partners closely with cross-functional stakeholders throughout the business to transform complex people data into actionable intelligence.
Key responsibilities include:
- Analyze and report on the entire employee lifecycle—hiring, onboarding, development, and exit—by designing dashboards and reports that provide insights into hiring, attrition, engagement, performance, promotions, compensation, headcount, and organizational health.
- Partner with People Team leaders and cross-functional stakeholders to translate business questions into analytical approaches, ensure data quality and governance, and deliver executive-ready insights.
- Design, build, and maintain predictive analytics models that identify workforce trends, risks, and opportunities, including attrition prediction, workforce forecasting, employee lifecycle analysis, and talent pipeline analytics.
- Apply advanced statistical techniques—regression analysis, clustering, forecasting, survival analysis, and segmentation—to solve complex workforce challenges and inform strategic decision-making.
- Analyze employee feedback from surveys, onboarding, exit interviews, and other listening channels using Natural Language Processing 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 decision support while maintaining governance and data privacy standards.
Requirements:
- 7+ years of experience in People Analytics, HR Analytics, Workforce Analytics, Data Science, or a related analytics discipline.
- Advanced proficiency with data visualization and reporting tools, data warehousing platforms, spreadsheet and SQL querying, and enterprise HR platforms.
- Demonstrated expertise applying advanced statistical methods including regression, clustering, forecasting, and text analytics.
- Excellent data visualization and storytelling skills with the ability to translate complex findings into clear business recommendations for both technical and non-technical audiences.
- Proven ability to collaborate effectively with cross-functional stakeholders, influence decisions through data, and manage multiple priorities in a fast-paced environment.
- Bachelor's degree in Statistics, Data Science, Computer Science, Analytics, Economics, Mathematics, or a related quantitative field (or equivalent combination of education and experience).
Preferred tech stack experience:
- Data visualization and reporting: Tableau
- Data warehousing: Snowflake
- Spreadsheet and querying: Excel, SQL
- Enterprise HR platforms: Workday, ServiceNow, Greenhouse
Bonus qualifications:
- Strong programming skills in Python and/or R for statistical analysis, predictive modeling, and automation.
- Familiarity with Generative AI, Natural Language Processing (NLP), and other emerging AI technologies applied to analytics.
- Experience implementing sound data management and governance practices across large, complex datasets.
