Employee Data Analyst

About The Role

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.

What You'll Do

• 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.
• Assess impacts, identify solutions and best practices during data conversion for implementation of core HR systems.

Basic 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.

Skills Required
Spark, Kafka, Etl Tools, Data Warehousing, Sql, Big Data, Python