Executive - HR Operations

Glenmark Pharmaceuticals

Mumbai

On-site

INR 800,000 - 1,100,000

Full time

16 hours ago
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Job summary

Glenmark Pharmaceuticals is seeking an HR Executive in Mumbai to manage HR master data, MIS reporting, and CRM administration. The role ensures accurate employee data, timely management reporting, dashboards, and support for HR analytics and manpower tracking.

The ideal candidate will have 5–7 years in HR Operations, HR MIS or Data Management, with strong analytical skills and proficiency in Excel and reporting tools. Knowledge of Phama HR processes is advantageous.

Qualifications

  • Excellent proficiency in Excel and reporting tools.
  • Experience with HR MIS and dashboard preparation.
  • Hands-on exposure to HR master data management, HRIS/CRM administration, and data governance.

Responsibilities

  • HR Master Data Management: maintain and update employee master data across HR systems; ensure accuracy and integrity of records; manage lifecycle events and data audits.
  • HR MIS & Reporting: generate and publish periodic HR MIS reports and dashboards; track headcount, attrition, hiring, vacancies; support management reviews.
  • HRMS & CRM System Management: manage HR CRM workflows and employee requests; monitor turnaround times; coordinate with stakeholders for issue resolution and process compliance.
  • Process Governance & Compliance: adhere to HR policies, SOPs and data governance; maintain confidentiality of employee information; identify automation opportunities.

Skills

Excel
Power BI
HRMS platforms

Education

Any Graduate with PG in HR

Tools

HRIS/CRM systems

Job description

The HR Executive will be responsible for HR master data management, HR MIS & reporting, CRM administration, and workforce data governance. The role ensures accurate employee data, timely management reporting, dashboard maintenance, and support for HR analytics, budgeting, and manpower tracking.

Job Description:
HR Master Data Management
  • Maintain and update employee master data across HR systems.
  • Ensure accuracy, completeness, and integrity of employee records.
  • Manage employee lifecycle transactions including onboarding, transfers, promotions, and exits.
  • Conduct regular data audits and reconciliation activities.
HR MIS & Reporting
  • Generate and publish periodic HR MIS reports and dashboards.
  • Track key HR metrics including headcount, attrition, hiring, vacancies, and manpower movement.
  • Provide timely and accurate reports for HR, business leaders, and management reviews.
  • Support preparation of presentations and workforce analytics reports.
HRMS & CRM System Management
  • Manage HR CRM workflows & employee requests.
  • Monitor turnaround times and ensure timely closure of employee queries.
  • Coordinate with HR stakeholders for issue resolution and process compliance.
  • Support system enhancements, testing, and user administration activities.
Process Governance & Compliance
  • Ensure adherence to HR policies, SOPs, and data governance standards.
  • Maintain confidentiality and compliance of employee information.
  • Identify opportunities for process improvement and automation.
Qualifications:

Any Graduate (Preferably B.Com) with PG in Human Resources.

Work Experience:

The ideal candidate should have 5-7 years of experience in HR Operations, HR MIS, or Data Management, with hands-on exposure to HR master data management, HRIS/CRM administration, MIS reporting, and dashboard preparation. The candidate should possess strong analytical skills, attention to detail, and proficiency in Excel and reporting tools. Experience in managing employee data, generating workforce reports and ensuring data accuracy and governance. Strong coordination, stakeholder management, and process improvement skills are essential. Experience in the pharmaceutical industry will be an added advantage.

  • Strong proficiency in Excel, Power BI, and HRMS platforms.
  • Good analytical and data management skills.
  • Experience in HR MIS, reporting, CRM administration, and HR operations.
  • Attention to detail and ability to manage large datasets.
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