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Medium because metro Bengaluru and mid-level role, but niche people-analytics focus reduces applicant density.
Medium because core data science skills transfer, but HRIS and people-analytics domain experience is preferred.
High due to explicit 3+ years, required people-analytics experience, ML, SQL, and BI tool requirements.
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Design, build, and deploy advanced predictive models addressing talent challenges like retention risk and workforce demand forecasting.
Automate and optimize data pipelines integrating multiple HR systems to improve efficiency and reduce errors.
Create interactive dashboards and translate complex data insights into actionable business narratives for senior leadership.
Bachelor’s or Master’s in Data Science, Statistics, Mathematics, Economics, Business Analytics, or related quantitative field.
3+ years professional experience as Data Scientist or advanced analyst, with 1–2 years in People Analytics or HR data systems.
Proficiency in Python or R, strong SQL skills, advanced Power BI or Tableau capabilities.
Solid understanding of core HR processes (recruitment, talent management, workforce planning, compensation).
Experience operating at a global scale supporting multiple regions and cross-functional HR teams.
Technical expertise merging data engineering with data science to automate and streamline HR analytics.
Proven ability to communicate complex analytical insights clearly to executive leadership for strategic decision-making.