Senior Analyst, People Analytics

Okta is seeking a Senior Analyst, People Analytics to join their People Analytics team.

In this role, you will support the delivery of workforce insights across the employee lifecycle by analysing people data, developing dashboards, and identifying trends that help inform business decisions.

Essential Duties and Responsibilities

People Analytics & Reporting

• Analyse 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 organisational health discussions.
• Validate data accuracy and collaborate with HR Technology and data teams to improve data quality and reporting consistency.
• Present findings through clear visualisations 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 organisational 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

• Analyse 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 summarise 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.

Qualifications

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.

Skills & Experience

• Advanced proficiency in Tableau, Snowflake, Excel, SQL, and other enterprise HR platforms e.g. Workday, ServiceNow, Greenhouse.
• Experience using Python or R for data analysis is preferred.
• Working knowledge of statistical techniques, including regression, forecasting, segmentation, and trend analysis.
• Experience analysing large datasets and ensuring data accuracy and integrity.
• Strong analytical and problem-solving skills with the ability to communicate findings clearly.
• Experience developing dashboards and data visualisations for business audiences.
• Ability to partner effectively with HR stakeholders and cross-functional teams.
• Familiarity with Natural Language Processing (NLP), Generative AI, or machine learning concepts is a plus.
• Strong organisational skills with the ability to manage multiple priorities in a fast-paced environment.