ES Workday Integrations Specialist

The ES Data Ops and Integrations Team is seeking a detail oriented, Employee Data Integrations Specialist. In this role, you will be responsible for managing employee data processes within Workday HCM, Mass Load processing (EIB - Enterprise Interface Builder), and ensuring data integrity and compliance. You’ll also be responsible for employee data quality control efforts and contribute to projects, playing a vital part in maintaining seamless and accurate HR data operations. Responsibilities: • Recommend enhancements to the Workday system to improve efficiency and user experience. • Identify solutions to support evolving business priorities and centralize testing of all configuration changes. • Assist in end-to-end UAT for Workday updates, ensuring security access, business processes, and EIB mass loads function as expected. • Support testing and configuration of new projects, enhancements, and system integrations. • Maintain documentation for new business processes, including updating existing documentation based on enhancement made to existing processes and tools • Investigate and resolve issues, conducting root cause analysis and implementing preventive measures. • Stay updated on Workday releases and challenge existing decisions to optimize Workday functionality for a global organization. • Contribute to multiple enterprise level projects. • Create, maintain and support a variety of standard and custom reports to provide business insight into HR data in line with the reporting/ governance model. • Analyze data audits to identify and implement improvements in data quality. • Assist in the training and on-boarding of new team members. Requirements: • 6-24 months of progressive experience working in an HRIS system (Workday preferred). • Good to have expertise in Workday HCM module or Mass Load processing. • Understanding of HR data, its usage, audits, and quality control measures. • Understanding of Employee Data processes, policies, and programs. • Basic to Intermediate Excel skills, working with datasets and formulas. • Strong problem-solving skills, able to identify issues and propose effective solutions. • Exceptional communication skills, with comfort in presenting to leadership. • Ability to prioritize tasks and work under pressure in a fast-paced environment. • Customer-focused mindset with the ability to collaborate cross-functionally and meet tight deadlines. • High attention to detail, ensuring accuracy and integrity. • Commitment to confidentiality and ability to handle highly sensitive data with integrity.