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Senior Analyst, People Analytics

Okta · Posted Oct 6

Cloud-based identity and access management solutions for workforce and customer security

Bengaluru, IndiaFull-timeHybridSenior Level3–5 years₹20.0L–₹32.0L yearly100+ applicants
Enterprise SoftwareCybersecurityIdentity ManagementCloud ComputingPublic Company
Full time

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About the role

Okta builds trusted, neutral identity infrastructure that secures AI and human identities for organizations. With data and analytics at the center of its people strategy, the People Analytics team delivers workforce insights across the employee lifecycle. This role supports that team by analyzing people data, building dashboards and reports, running statistical and predictive analyses, and applying NLP and Generative AI techniques to employee listening data while partnering with HR, Talent Acquisition, Finance, IT, and Legal stakeholders.

What you will do

  • 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.
  • 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.
  • 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.
  • Deliver accurate and timely workforce analytics that support business decisions.
  • Build dashboards and reports that improve visibility into key people metrics.
  • Apply analytical techniques to identify trends and recommend improvements.
  • Partner effectively with HR and business stakeholders to answer workforce questions.
  • Continuously improve reporting, data quality, and analytics processes while expanding technical capabilities.

Skills used in this role

TableauSnowflakeSQLExcelWorkdayServiceNowGreenhousePythonRNatural Language Processing (NLP)Generative AIMachine LearningData VisualizationStatistical AnalysisRegressionForecastingSegmentationTrend AnalysisAnalyticalProblem SolvingCommunicationOrganizational SkillsStakeholder Management

What the employer is looking for

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

Benefits and support

  • Compensation and benefits are detailed in the job posting

About Okta

Okta is a leading independent provider of cloud-based identity and access management solutions that securely connect people and technologies to the right applications. The company powers both Workforce Identity and Customer Identity platforms, allowing organizations to securely manage user access and navigate modern challenges like agentic AI security.

Industry
Enterprise Software
Company size
7500+ employees
Founded
2009
Location
San Francisco, California, USA
Funding stage
Public Company

Funding

Public Company · $228M raised

Sequoia CapitalAndreessen HorowitzGreylock PartnersKhosla VenturesAltimeter Capital
  • 2010-02-01Series A$10M
  • 2011-08-01Series B$16.5M
  • 2012-12-01Series C$25M
  • 2013-09-01Series D$27M
  • 2014-06-01Series E$75M
  • 2015-09-01Series F$75M
  • 2018-02-21Post IPO Debt$300M

Leadership

TM
Todd McKinnon

Co-Founder and Chief Executive Officer

FK
Frederic Kerrest

Co-Founder and Executive Vice Chairman

SD
Shannon Duffy

Chief Marketing Officer

SM
Scott Morgan

Chief Legal Officer