Staff Data Analyst, People Analytics

Okta•Chicago, WA

2d•Onsite

About The Position

Okta is building the trusted, neutral infrastructure that enables organizations to safely embrace the new era of AI. The People Analytics team distills insights from data to drive informed workforce decisions across the organization. They partner with stakeholders throughout the business to transform complex people data into actionable intelligence that optimizes the employee lifecycle and supports better business outcomes. This role offers an exciting opportunity to lead the design and delivery of people analytics solutions that directly impact workforce planning, organizational effectiveness, and employee experience. You'll develop advanced predictive models, create scalable dashboards, and apply emerging AI technologies to solve complex workforce challenges while partnering closely with cross-functional stakeholders.

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
Having experience with our direct tech stack is highly preferred: Data visualization and reporting: Tableau Data warehousing: Snowflake Spreadsheet and querying: Excel, SQL Enterprise HR platforms: Workday, ServiceNow, Greenhouse
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)

Nice To Haves

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

Responsibilities

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