Senior Analyst, People Analytics

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.

With data and analytics at the center of our people strategy, we are seeking a People Analytics Consultant to join our People Analytics team.

In this role, you will support the delivery of workforce insights across the employee lifecycle by analyzing people data, developing dashboards, and identifying trends that help inform business decisions. You will partner with stakeholders across HR, Talent Acquisition, Finance, IT, and Legal to deliver accurate, timely, and actionable analytics.

This role is ideal for an analytical professional who enjoys working with data, solving business problems, and applying modern analytics techniques to improve workforce outcomes.

Essential Duties and Responsibilities

People Analytics & Reporting

• Analyze employee lifecycle data, including hiring, onboarding, engagement, performance, promotions, compensation, headcount, and attrition.

• Develop and maintain dashboards, scorecards, and recurring reports that provide meaningful workforce insights.

• Respond to ad hoc analytics requests and translate business questions into data-driven recommendations.

• Partner with People Business Partners and HR Centers of Excellence to support workforce planning, talent reviews, and organizational health discussions.

• Validate data accuracy and collaborate with HR Technology and data teams to improve data quality and reporting consistency.

• Present findings through clear visualizations and concise business summaries.

Workforce Analytics

• Perform statistical analyses to identify workforce trends, risks, and opportunities.

• Support the development and maintenance of predictive models related to workforce planning, attrition, and employee lifecycle analytics.

• Assist in workforce forecasting and organizational reporting by leveraging quantitative analysis.

• Recommend opportunities to improve reporting automation and analytics processes.

• Contribute to continuous improvements in People Analytics methodologies and reporting practices.

AI & Employee Listening Analytics

• Analyze employee survey data and feedback to identify trends, themes, and opportunities for improvement.

• Apply Natural Language Processing (NLP) techniques, such as sentiment analysis and text analytics, to summarize employee feedback.

• Support the evaluation and implementation of AI-enabled analytics capabilities that improve reporting efficiency and insight generation.

• Contribute to automated reporting and narrative insights using Generative AI tools where appropriate.

Required

• Bachelor's degree in Statistics, Data Science, Computer Science, Analytics, Economics, Mathematics, Human Resources, or a related field, or an equivalent combination of education and experience.

• 3–5 years of experience in People Analytics, HR Analytics, Business Analytics, Data Analytics, or a related field.

• Advanced proficiency in Tableau, Snowflake, Excel, SQL, and other enterprise HR platforms e.g. Workday, ServiceNow,