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Staff Data Analyst, People Analytics

Lead the design and delivery of people analytics solutions to impact workforce planning and employee experience.

Location
Bellevue, Washington, United States
Compensation
$133k–$205k/yr
Level
staff
Type
full time

Posted by employer 1 day ago

First seen on Joblaze 18 hours ago

Last verified on the company career page 18 hours ago

What you'll build

  • Analyze and report on the entire employee lifecycle
  • Partner with People Team leaders and stakeholders
  • Design, build, and maintain predictive analytics models
  • Analyze employee feedback using Natural Language Processing
  • Explore and prototype Generative AI use cases

Must have

  • 7+ years of experience in People Analytics or related field
  • Advanced proficiency with data visualization and reporting tools
  • Demonstrated expertise applying advanced statistical methods
  • Bachelor's degree in a related quantitative field

Nice to have

  • Strong programming skills in Python and/or R
  • Familiarity with Generative AI and NLP
  • Experience implementing data management practices

AI in the day-to-day

Explore and prototype Generative AI use cases that automate narrative reporting and enhance decision support.

Requirements

Experience
7+ years
Education
Bachelor's degree

Not disclosed in this posting: work arrangement, visa sponsorship.

Benefits

401k Match Equity/Stock Options Health Insurance Parental Leave

Joblaze summary

The Staff Data Analyst in People Analytics at Okta focuses on analyzing the entire employee lifecycle, from hiring to exit, by creating dashboards and reports that provide actionable insights. This role requires advanced skills in data visualization, statistical analysis, and familiarity with tools like Tableau and SQL, as well as experience in predictive modeling and natural language processing. Ideal candidates have over seven years of relevant experience and a strong background in data science or analytics. The position is part of a collaborative team that emphasizes data-driven decision-making to enhance workforce planning and organizational effectiveness.

Joblaze insights

  • Listed today — first seen on Joblaze September 30, 2026. Last confirmed on Okta's careers page September 30, 2026.
  • This exact title is also open at 1 other location at Okta: Bengaluru, India.
  • Salary band is below the typical range for Data Science roles (median ~$174,000).
  • Starts above 9% of 44 comparable staff data science roles in United States that list SQL we track (median $192,000 across 19 companies). See SQL salary trends
  • SQL appears in 87.9% of 58 comparable staff data science roles in United States; Snowflake appears in 8.6% of 58 comparable staff data science roles in United States.

Quick facts

What's the salary range?
Okta lists $133,000–$205,000 for this role.
How much experience is required?
At least 7 years of relevant experience for this Staff Data Analyst, People Analytics role.
What's the tech stack?
Joblaze extracted these technologies from the posting: Excel, Greenhouse, Natural Language Processing, Python, R, SQL.
What seniority level is this role?
Okta targets staff-level candidates for this position.
Is this full-time or contract?
Full-time for this Staff Data Analyst, People Analytics role at Okta.

From the original posting

Secure Every Identity, from AI to Human

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 management and governance practices across large, complex datasets

#LI-MC1

#P11599_3562927

The annual base salary range for this position for candidates located in the San Francisco Bay area is between:
$149,000—$205,000 USD

Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.

The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:
$133,000—$183,000 USD

The Okta Experience

Standard company text repeated across Okta's postings is omitted here.

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