Staff Data Analyst, People Analytics

Okta; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Okta is seeking a Data-driven People Analytics professional in Bengaluru to develop insights across the employee lifecycle and partner with HR, Finance, IT, and Legal to enable informed workforce decisions.

You will apply advanced analytics and predictive modeling to solve workforce challenges, driving modern analytics practices within HR and enhancing employee experiences.

Qualifications

• Analytically driven People Analytics professional to join the team.
• Develop, optimize, and enhance data-driven insights across the employee lifecycle.
• Collaborate with HR, Talent Acquisition, Finance, IT, and Legal to enable decisions.

Responsibilities

• Analyze and report on the employee lifecycle with dashboards and reports.
• Partner with People Partners, TA, Compensation, Finance to support quarterly reviews and workforce planning.
• Design scalable reporting solutions and self-service dashboards for trusted insights.
• Collaborate with HR Technology and data teams to ensure data quality and governance.
• Translate business questions into analytical approaches and communicate findings via visuals.

Skills

Analytical mindset

Statistical methods

Predictive modeling

Data visualization

Job description

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.

With data and advanced analytics at the center of our people strategy, we are seeking an analytically driven People Analytics professional to join our People Analytics team. In this role, you will develop, optimize, and enhance data-driven insights across the employee lifecycle. You will partner closely with stakeholders across HR, Talent Acquisition, Finance, IT, and Legal to deliver analytics that support strategic workforce planning, improve employee experiences, and enable informed business decisions.

You will apply advanced analytics, predictive modeling, statistical techniques, and emerging AI capabilities to ¯solve complex workforce challenges. This role is ideal for someone who enjoys transforming data into actionable insights, collaborating across functions, and continuously advancing modern analytics practices within HR.

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.

With data and advanced analytics at the center of our people strategy, we are seeking an analytically driven People Analytics professional to join our People Analytics team. In this role, you will develop, optimize, and enhance data-driven insights across the employee lifecycle. You will partner closely with stakeholders across HR, Talent Acquisition, Finance, IT, and Legal to deliver analytics that support strategic workforce planning, improve employee experiences, and enable informed business decisions.

You will apply advanced analytics, predictive modeling, statistical techniques, and emerging AI capabilities to ¯solve complex workforce challenges. This role is ideal for someone who enjoys transforming data into actionable insights, collaborating across functions, and continuously advancing modern analytics practices within HR.

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.

With data and advanced analytics at the center of our people strategy, we are seeking an analytically driven People Analytics professional to join our People Analytics team. In this role, you will develop, optimize, and enhance data-driven insights across the employee lifecycle. You will partner closely with stakeholders across HR, Talent Acquisition, Finance, IT, and Legal to deliver analytics that support strategic workforce planning, improve employee experiences, and enable informed business decisions.

You will apply advanced analytics, predictive modeling, statistical techniques, and emerging AI capabilities to ¯solve complex workforce challenges. This role is ideal for someone who enjoys transforming data into actionable insights, collaborating across functions, and continuously advancing modern analytics practices within HR.

Essential Duties and Responsibilities

People Analytics & Insights

• Analyze and report on the employee lifecycle—from hiring and onboarding through development and exit—by developing dashboards and reports that provide insights into hiring, attrition, engagement, performance, promotions, compensation, headcount, and organizational health.
• Partner with People Business Partners, Talent Acquisition, Compensation, Finance, and other Centers of Excellence to deliver analytics supporting quarterly business reviews, workforce planning, and organizational effectiveness initiatives.
• 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.
• Translate business questions into analytical approaches and communicate findings through compelling visualizations and executive-ready presentations.

Advanced People Analytics

• Design, develop, and maintain predictive analytics models that help identify workforce trends, risks, and opportunities.
• Apply advanced statistical techniques, including regression analysis, clustering, forecasting, survival analysis, and segmentation, to solve business problems.
• Build and validate predictive models supporting areas such as:
  • Attrition prediction
  • Workforce forecasting