The opportunity
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era.
What you'll do
Analyze and report on the entire employee lifecycle—from hiring and: onboarding through 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, stakeholders across the business, and data: teams 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—including 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
What they're looking for
- + 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 Having experience with our direct tech stack is highly preferred:
- Data visualization and reporting: Tableau
- Data warehousing: Snowflake
