HR Data Specialist

3 days ago

Bilaspur Haryana Gurgaon Gurugram, India beBeeDataAnalyst Full time ₹ 9,00,000 - ₹ 12,00,000
Employee Data Analyst

About the Position

We are seeking a detail-oriented and proactive employee data analyst to champion the accuracy, integrity, and consistency of employee data primarily within Oracle HCM.

You will play a key role in embedding data quality best practices, resolving data issues, improving HR data processes, and enabling better business decisions through reliable workforce data.

Key Responsibilities

  • Embed data quality standards into all HR processes, ensuring that accurate, consistent, and complete data is maintained across the employee lifecycle.
  • Investigate and resolve data issues, performing root cause analysis and implementing preventive actions to reduce recurring errors.
  • Analyze and act on data audits, identifying trends and areas for improvement, and partnering with stakeholders to drive higher standards of data integrity.
  • Serve as a subject matter expert (SME) on employee data processes in Oracle HCM, supporting global standardization, evaluating transaction accuracy, and improving end-user experience.
  • Continuously challenge and improve existing data processes and system configurations, staying current on Oracle HCM releases and recommending enhancements to better support business needs.
  • Support global data governance initiatives, contributing to the development and enforcement of data policies, standards, and controls.
  • Collaborate cross-functionally with HR, HRIS, and IT teams to ensure consistent and scalable data quality practices across all regions.
  • Analyze transactions and process flows, identifying inefficiencies and opportunities to streamline operations while maintaining data quality and compliance.

Required Skills and Qualifications

  • Bachelor's degree in Human Resources, Information Systems, Business Administration, or a related field.
  • 5 years of experience working with employee data in Oracle HCM or similar HR systems.
  • Strong understanding of data quality principles, audit practices, and root cause analysis.

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