Staff Data Analyst, People Analytics

Okta
Bengaluru
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceExperience: 5-8 yearsEducation: bachelorsSkills: ["Analytical thinking","Problem-solving","Data visualization","Storytelling","Cross-functional collaboration"]

Develop and optimize People Analytics that deliver workforce insights across the employee lifecycle, including hiring, attrition, engagement, performance, promotions, compensation, and headcount. Build scalable reporting solutions, self-service dashboards, and executive-ready visualizations. Create predictive models using advanced statistics and apply NLP to analyze employee feedback, including prototyping Generative AI to automate reporting while maintaining governance and privacy.

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FursaFursa
Okta
Okta
4 days ago

Staff Data Analyst, People Analytics

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Last checked: 7 hours agoStatus: Live

Job Summary

Develop and optimize People Analytics that deliver workforce insights across the employee lifecycle, including hiring, attrition, engagement, performance, promotions, compensation, and headcount. Build scalable reporting solutions, self-service dashboards, and executive-ready visualizations. Create predictive models using advanced statistics and apply NLP to analyze employee feedback, including prototyping Generative AI to automate reporting while maintaining governance and privacy.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Analyze the employee lifecycle (hiring, onboarding, development, exit) and produce dashboards and reports on hiring, attrition, engagement, performance, promotions, compensation, headcount, and organizational health.
  • •Partner with HR Business Partners, Talent Acquisition, Compensation, Finance, and other Centers of Excellence to deliver analytics for quarterly business reviews and workforce planning.
  • •Design scalable reporting solutions and self-service dashboards that improve access to trusted workforce insights.
  • •Collaborate with HR Technology and data teams to ensure data quality, governance, and consistency across people data platforms.
  • •Develop predictive analytics models and apply advanced statistics to identify workforce trends, risks, and opportunities, including NLP analysis of employee feedback and prototyping Generative AI for narrative reporting.

Key Requirements

  • •Bachelor's degree in Statistics, Data Science, Computer Science, Analytics, Economics, Mathematics, or a related quantitative field, or equivalent education/experience.
  • •5–8 years of experience in People Analytics, HR Analytics, Workforce Analytics, Data Science, or a related analytics discipline.
  • •Advanced proficiency in Tableau, Snowflake, Excel, SQL, and enterprise HR platforms (e.g., Workday, ServiceNow, Greenhouse).
  • •Strong programming skills using Python and/or R for statistical analysis, predictive modeling, and automation.
  • •Experience applying advanced statistical methods (e.g., regression, clustering, forecasting, text analytics, sentiment analysis) and working with large datasets with sound data governance practices.
Experience:5-8 yearsPeople AnalyticsHR AnalyticsWorkforce AnalyticsData ScienceWorkdayServiceNowGreenhouse
Education:Bachelor's in Statistics, Data Science, Computer Science, Analytics, Economics, Mathematics (or related quantitative field)
Skills:Analytical thinkingProblem-solvingData visualizationStorytellingCross-functional collaboration
Tech Stack:TableauSnowflakeExcelSQLWorkdayServiceNowGreenhousePythonRNatural Language Processing (NLP)Generative AIRegression analysisClusteringForecastingSurvival analysisSegmentationSentiment analysisTopic modeling

Company Brief

Okta
Provides identity and access management cloud solutions that help organizations secure and manage user authentication, single sign-on, multi-factor authentication, and lifecycle management across applications and devices.
Industry: Cybersecurity
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2009
WebsiteLinkedIn