Human Resource Analyst

Role & responsibilities

HR Data & Reporting

• Own and maintain HR dashboards and MIS across the employee lifecycle hiring, headcount, attrition, engagement, cost, performance and other key metrics ensuring data accuracy and timely refresh.
• Design and automate recurring reports (weekly/monthly/quarterly) for HR and business leadership, reducing manual reporting effort.
• Partner with HRIS/ATS teams (e.g., Darwinbox) to ensure clean, reliable, and audit-ready employee data across all HR systems.

Analytics & Insights

• Translate HR data into clear insights and recommendations for HR and business leaders, using visualization tools (Excel, Power BI, or equivalent AI tools).
• Identify trends and patterns in workforce data to proactively flag risks and opportunities, and support root-cause analysis on attrition, hiring, or engagement issues.

Cross-Functional Support

• Support recruitment, talent management, learning & development, compensation, and HR operations teams with relevant data cuts, trend analysis, and dashboards as needed.
• Track manpower and workforce plans — budgeted vs. actual headcount — and highlight variances to stakeholders.
• Support diversity and representation tracking across the employee lifecycle.

Process & Governance

• Standardize data definitions, formats, and reporting templates across HR functions for consistency.
• Support ad hoc analysis requests from HR and business stakeholders with quick, accurate turnaround.
• Maintain data governance and confidentiality standards for sensitive employee information.

Preferred candidate profile

• Experience: 3+ years of experience in HR analytics, HR MIS, or people analytics, with exposure across HR functions (recruitment, talent management, operations, or compensation); ideally in a fast-paced startup, fintech, or technology environment.
• Education: MBA/PGDM in HR, Analytics, Statistics, or a related field from a reputed institute.
• Technical Skills: Strong proficiency in Excel (advanced formulas, pivot tables); working knowledge of Power BI, Tableau, or similar AI tools; familiarity with HRIS/ATS platforms (Darwinbox or equivalent) is a plus.
• Analytical Ability: Strong data interpretation skills with the ability to translate numbers into clear, actionable insights.
• Attention to Detail: High accuracy in data handling, reporting, and dashboard maintenance.
• Communication: Ability to present data-driven insights clearly to HR and business stakeholders.
• Ownership: Self-driven, organized, and comfortable managing multiple reporting cycles independently.