Senior Analyst, People Analytics

Role overview

Senior Analyst, People Analytics at Okta

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

Success in This Role Successful candidates will: Deliver accurate and timely workforce analytics that support business decisions.

Responsibilities

• You will partner with stakeholders across HR, Talent Acquisition, Finance, IT, and Legal to deliver accurate, timely, and actionable analytics.
• Support the development and maintenance of predictive models related to workforce planning, attrition, and employee lifecycle analytics.
• Contribute to continuous improvements in People Analytics methodologies and reporting practices.
• Contribute to automated reporting and narrative insights using Generative AI tools where appropriate.

Required qualifications

• 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.

Preferred qualifications and skills

• Experience using Python or R for data analysis is preferred.

Employment details

• Essential Duties and Responsibilities People Analytics & Reporting Analyze employee lifecycle data, including hiring, onboarding, engagement, performance, promotions, compensation, headcount, and attrition.
• Location: Bengaluru [India]

Application details

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

About the employer

• Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era.

Additional role details

• Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI.
• 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.
• 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.
• 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.
• 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.
• Assist in workforce forecasting and organizational reporting by leveraging quantitative analysis.
• Recommend opportunities to improve reporting automation and analytics processes.
• AI & Employee Listening Analytics Analyze employee survey data and feedback to identify trends, themes, and opportunities for improvement.
• Support the evaluation and implementation of AI-enabled analytics capabilities that improve reporting efficiency and insight generation.
• Skills & Experience Advanced proficiency in Tableau, Snowflake, Excel, SQL, and other enterprise HR platforms e.g. Workday, ServiceNow, Greenhouse.
• Working knowledge of statistical techniques, including regression, forecasting, segmentation, and trend analysis.
• Experience analyzing 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 visualizations 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 organizational skills with the ability to manage multiple priorities in a fast-paced environment.
• Build dashboards and reports that improve visibility into key people metrics.
• Partner effectively with HR and business stakeholders to answer workforce questions.
• Continuously improve reporting, data quality, and analytics processes while expanding technical capabilities. #LI_Hybrid #P12716_3528812