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Staff Data Analyst, People Analytics

Okta United States

Deadline: Not specified

Short Summary

Staff Data Analyst, People Analytics with Okta. 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. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and…

Key Details

  • Position / opportunity: Staff Data Analyst, People Analytics
  • Organization: Okta
  • Country / coverage: United States
  • Location: Bellevue, Washington; Chicago, Illinois; San Francisco, California; Washington, DC
  • Work arrangement: On-site
  • Opportunity type: Jobs
  • Sector: Health
  • Compensation: Not specified
  • Duration: Not specified
  • Start date: 2026-09-29
  • Application deadline: Not specified

Description

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. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The People Analytics Team Our People Analytics team distills insights from our data to drive informed workforce decisions across the organization. We partner with stakeholders throughout the business to transform complex people data into actionable intelligence that optimizes the employee lifecycle and supports better business outcomes. The Staff Data Analyst People Analytics Opportunity 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. What you'll be doing 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 you'll bring to the role 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) And extra credit if you have experience in any of the following! 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…

Responsibilities

  • 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.
  • This work requires a relentless drive to solve complex challenges with real-world stakes.
  • We are looking for builders and owners who operate with speed and urgency and execute with excellence.
  • This is an opportunity to do career-defining work.
  • The People Analytics Team Our People Analytics team distills insights from our data to drive informed workforce decisions across the organization.

Requirements / Eligibility

  • ext 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…
  • 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…

How To Apply

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