Jobs / United States / Okta INC
Staff Data Analyst, People Analytics
Okta INC · 🇺🇸 Bellevue, Washington; Chicago, Illinois; San Francisco, California; Washington, DC
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 93 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 52 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Okta INC paid sponsored hires in similar roles2 certified filings for “GTM Compensation Analytics Manager” (Data Scientists) in CA: $141k–$169k, median $155k. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Okta INC
The US Department of Labor certified 93 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 52 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Okta INC →
About the role
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 Scienc