À propos de ce poste Staff Data Analyst, People Analytics chez 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 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 management and governance practices across large, complex datasets
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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 Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
