This role pays more than
51%
of similar roles. Most pay
$134,599–$219,568
— the shaded band above.
At the midpoint, this role pays about
$177k
versus about
$177k
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
47 open roles
on FindRole.
Listed pay typically runs
$170,000–$238,000
across 47 roles with salary data.
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. Additionally, you will use Natural Language Processing to analyze employee feedback and prototype Generative AI use cases for automated reporting. The role requires proficiency in Tableau, Snowflake, Excel, SQL, and enterprise platforms like Workday, ServiceNow, and Greenhouse. Candidates should possess strong skills in data storytelling and potentially Python or R to perform statistical modeling and automation within the human resources domain.
What does a Data Analyst earn?
Median $127950 from 35 postings across 17 companies.
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 in collaboration with technical teams.
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 (or equivalent combination of education and experience).
Advanced proficiency with data visualization tools, data warehousing platforms, spreadsheet software, SQL querying, and enterprise HR platforms.
Experience with Tableau, Snowflake, Excel, SQL, Workday, ServiceNow, and Greenhouse is 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 diverse 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).