Staff Data Analyst, People Analytics

Okta Inc

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Bellevue, WAChicago, ILSan Francisco, CAWashington, DC
Salary
$149,000–$205,000 / yr
Posted
4 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $176k
This role $177k
$123k most similar roles pay here $229k

This role pays more than 51% of similar roles. Most pay $133,174–$218,543 — the shaded band above. At the midpoint, this role pays about $177k versus about $176k for comparable roles.

Based on 240 similar postings.

Employer

About Okta Inc

Okta, Inc. is an American identity and access management company based in San Francisco. It provides cloud software that helps companies manage and secure user authentication into applications, and for developers to build identity controls into applications, websites, web services, and devices.[

Okta Inc currently has 88 open roles on FindRole.

Listed pay typically runs $174,000–$239,000 across 88 roles with salary data.

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At a glance

TL;DR · Staff Data Analyst, People Analytics

Staff Data Analyst, People Analytics joins the People Analytics team to transform complex people data into actionable intelligence that optimizes the employee lifecycle and supports business outcomes. This role involves designing and delivering analytics solutions for workforce planning, organizational effectiveness, and employee experience. You will build predictive models for attrition and forecasting, create scalable dashboards, and apply advanced statistical techniques like regression analysis, clustering, and survival analysis to solve workforce challenges. The work includes analyzing employee feedback using Natural Language Processing and prototyping Generative AI use cases for automated reporting. Required skills include proficiency in SQL, Excel, Tableau, Snowflake, and enterprise HR platforms like Workday, ServiceNow, and Greenhouse. Candidates should possess expertise in data storytelling and statistical methods to provide executive-ready insights regarding hiring, engagement, performance, compensation, and overall organizational health across the entire employee lifecycle.

What does a Data Analyst earn?

Median $127875 from 54 postings across 18 companies.

See salary data

What you'll do

  • Design and maintain dashboards to report on metrics like hiring, attrition, engagement, and compensation.
  • Translate business questions from stakeholders into technical analytical approaches and executive-ready insights.
  • Build predictive models to identify workforce trends, risks, and opportunities such as attrition and forecasting.
  • Apply advanced statistical techniques including regression, clustering, and survival analysis to solve workforce challenges.
  • Use Natural Language Processing and text analytics to analyze employee feedback from surveys and interviews.
  • Prototype Generative AI use cases to automate reporting and enhance decision support while maintaining data privacy.
  • Ensure data quality and governance across large, complex datasets within the HR ecosystem.

What we're looking for

  • 7+ years of experience in People Analytics, HR Analytics, Workforce Analytics, Data Science, or a related analytics discipline.
  • Bachelor's degree in Statistics, Data Science, Computer Science, Analytics, Economics, Mathematics, or a related quantitative field.
  • Advanced proficiency with data visualization tools, data warehousing platforms, spreadsheets, SQL querying, and enterprise HR platforms.
  • Experience with Tableau, Snowflake, Excel, SQL, Workday, ServiceNow, and Greenhouse (preferred).
  • Demonstrated expertise applying advanced statistical methods including regression, clustering, forecasting, and text analytics.
  • Excellent data visualization and storytelling skills to translate complex findings into clear business recommendations for various audiences.
  • Strong programming skills in Python and/or R for statistical analysis, predictive modeling, and automation (preferred).
  • Familiarity with Generative AI, Natural Language Processing (NLP), and other emerging AI technologies applied to analytics (preferred).

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