Staff Data Analyst, People Analytics

United States Digital Space LLC

Bengaluru

Hybrid

INR 1,200,000 - 1,800,000

Full time

3 days ago
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Job summary

the company is seeking a driven People Analytics professional in Bengaluru to develop, optimize, and elevate data-driven insights across the employee lifecycle. You will partner with HR, Talent Acquisition, Finance, IT, and Legal to deliver analytics that support strategic workforce planning and informed business decisions.

You will apply advanced analytics and NLP techniques to transform data into actionable insights, while advancing modern analytics practices within HR and across functions.

Qualifications

  • Bachelor's degree in Statistics, Data Science, CS, Analytics, Economics, Mathematics or related field.
  • 5–8 years of experience in People Analytics, HR Analytics, Workforce Analytics, Data Science, or related analytics.
  • Experience with enterprise HR platforms (Workday, ServiceNow, Greenhouse) and data governance.
  • Familiarity with NLP, AI techniques, and advanced analytics preferred.

Responsibilities

  • Develop dashboards and reports covering hiring, attrition, engagement, performance, compensation, headcount, and org health.
  • Collaborate with HR and business partners to support quarterly reviews and workforce planning.
  • Design scalable reporting solutions and self-service dashboards for trusted insights.
  • Apply predictive modeling to identify workforce trends, risks, and opportunities.
  • Translate business questions into analytical approaches and present findings to stakeholders.

Skills

Analytical thinking
Communication
Cross-functional collaboration

Education

Bachelor's degree in Statistics/CS/Analytics

Tools

Tableau
Snowflake
Excel
SQL
Workday
ServiceNow
Greenhouse
Python
R

Job description

**Secure Every Identity, from AI to Human

**Identity is the key to unlocking the potential of AI. the company 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.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

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 ResponsibilitiesPeople 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
  • Employee lifecycle and tenure analysis
  • Hiring and talent pipeline analytics
  • Recommend data-driven solutions that improve workforce planning and organizational decision-making.
Continuously evaluate emerging analytical methods and technologies to improve People Analytics capabilities.AI & Natural Language Processing (NLP)
  • Apply Natural Language Processing (NLP) techniques to analyze employee feedback from surveys, onboarding, exit interviews, and other listening channels.
  • Use topic modeling, sentiment analysis, and text analytics to identify emerging themes and actionable insights.
  • Explore and prototype Generative AI use cases that automate narrative reporting, summarize workforce trends, and enhance the delivery of people insights.
  • Partner with HR Technology and analytics teams to evaluate AI-enabled solutions that improve reporting efficiency and decision support while maintaining appropriate governance and data privacy standards.
QualificationsRequired
  • Bachelor's degree in Statistics, Data Science, Computer Science, Analytics, Economics, Mathematics, or a related quantitative field, or an equivalent combination of education and experience.
  • 5–8 years of experience in People Analytics, HR Analytics, Workforce Analytics, Data Science, or a related analytics discipline.
Skills & Experience
  • Advanced proficiency in Tableau, Snowflake, Excel, SQL, and other enterprise HR platforms eg Workday, ServiceNow, Greenhouse.
  • Strong programming skills using Python and/or R for statistical analysis, predictive modeling, and automation.
  • Experience applying advanced statistical methods, including regression, clustering, forecasting, text analytics, and sentiment analysis.
  • Experience working with large, complex datasets and applying sound data management and governance practices.
  • Strong analytical thinking and problem-solving skills with the ability to translate complex findings into clear business recommendations.
  • Excellent data visualization and storytelling skills tailored to technical and non-technical audiences.
  • Proven ability to collaborate effectively with cross-functional stakeholders and influence decisions through data.
  • Familiarity with Generative AI, Natural Language Processing (NLP), and emerging AI technologies applied to analytics is preferred.
  • Strong communication, collaboration, and project management skills with the ability to manage multiple priorities in a fast-paced environment.
Success in This RoleSuccessful candidates will:
  • Deliver high-quality analytics that enable better workforce decisions.
  • Build scalable dashboards, predictive models, and AI-enabled insights that improve business outcomes.
  • Partner effectively across HR and business functions to solve complex workforce challenges.
  • Continuously identify opportunities to improve data quality, reporting, automation, and analytics capabilities.
  • Contribute to the ongoing evolution of People Analytics through innovation, technical expertise, and a strong customer-focused mindset.

#P25728_3523399

#LI_Hybrid

The the company Experience
  • Supporting Your Well-Being
  • Driving Social Impact
  • Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

the company is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding pleaseuse this Form to request an accommodation.

Notice for New York City Applicants & Employees: the company may use Automated Employment

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