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Strong employer brand, metro location, and mid-level experience make applicant competition high.
Analytics skills transfer broadly but HR domain knowledge creates moderate industry specificity.
Explicit 3–5 years plus mandatory HR analytics domain and technical stack requirements create high strictness.
Design, automate, and govern scalable HR analytics dashboards and data pipelines for MIS and workforce reporting.
Analyze workforce data to identify trends and provide data-driven recommendations for HR and business decisions, including executive leadership reporting.
Partner with HR and business stakeholders to execute operational projects, monitor KPIs, and resolve data or technical issues in a cross-functional environment.
3–5 years of hands-on experience in HR Analytics with strong expertise in Python scripting and automation.
B.Tech / B.E. in Computer Science, Information Technology, or a related engineering discipline.
Technical skills required: Python, Google Apps Script, AWS (S3, Lambda, Athena), Advanced SQL, HRMS reporting tools, Power BI, Tableau, Advanced Excel, and PowerPoint.
Work Experience Required: 3–5 years in HR Analytics with relevant technical skills.
Experienced in building and managing end-to-end HR analytics dashboards and workforce reporting tools with automation expertise.
Comfortable working cross-functionally with HR teams, business stakeholders, and external vendors to drive project execution and data insights.
Strong analytical background with proven ability to deliver executive-level reports and data-driven recommendations in a fast-paced financial services or IT services environment.