Data Analyst- Workday

Description The Employee Data Analyst is a member of the Data Ops Workday team and provides operational support to employees across all regions, acts as a trusted partner for the business ensuring an amazing employee experience. This role reports to the Manager Data Ops Workday & OB and is critical to ensuring the success of our employees at Salesforce. Candidate shall have strong organisational skills with a high attention to detail, outstanding time management and communication skills, commitment to exceptional customer support and the ability to build relationships at every level of the organisation. This person must be comfortable dealing with highly sensitive and confidential matters. Our ideal candidate enjoys working in a dynamic and high-growth environment and has experience dealing with employee data in HR Operations role supporting a variety of HR processes. The responsibilities of the Employee Data Analyst include but are not limited to the following: Review and process Manager Self-Service transactions for all kinds of data changes in Workday Audit Global work authorisation (GWA) for new hires and international transfers Case management - case triaging, adhering to SLAs, meet CSAT expectations Contract management and Background Investigation Process management Identify and Perform data audits to ensure meeting clean data requirements Create and analyse various HR reports for monthly, quarterly dashboards Support our centralised knowledge base within our employee portal; identify and close knowledge gaps by creating, updating and improving knowledge articles to keep information relevant for employees Maintain appropriate level of process, program, and policy knowledge in order to assist Employees and Managers Act as point of contact and subject matter expert(SME) for all things related to worker data, ensuring data integrity and global standardisation of key processes and transactions. Support team members with their queries and issue resolution as an SME Proactively identify process improvements and process redundancies, and collaborate towards an improved and more productive process that enhances the employee experience Participate in UAT and implementing system upgrades and rollout of new features Own data integrity of all employee change transactions by following the outlined peer review/audit process Ensure compliance with audit requirements by completing work correctly and timely Provide superior customer service to employees using our customer service portal by resolving Tier 2 queries Liaise effectively and collaboratively with stakeholders and other support teams to resolve issues Participation in related projects such as M&A, G4G, Merit cycles, and other Global initiatives Work collaboratively across a global team for standardisation and continuous improvements Bring process optimisation ideas to meet our efficiency goals Lead move the work (MTW) initiative for transitioning processes from COEs and Regional teams to Data Ops Required Skills/experience 5-6 years of work experience in an HR Operations role Experience with Workday (must) and global HR Systems Must have strong understanding of data integrity and data privacy requirements Excellent verbal and written communication skills: concise, articulate, and confident Work effectively in a team environment Intermediate to Advanced knowledge of Excel Proven ability to diagnose a problem, informed by data and lead correction efforts Proven project management skills Exceptional customer service orientation Ability to prioritise competing priorities in a high-paced work environment Drives results and is solutions-oriented Ability to maintain confidentiality in all aspects of job responsibilities Exceptional time management, organisational, prioritisation and follow-up skills Requirements For Success Problem Solving: uses rigorous logic to understand hidden problems and identify effective solutions without adding complexity Communication: Possess excellent presentation skills and comfort presenting to upper management Priority Setting: Ability to work well under pressure, handle multiple tasks in a fast-paced environment Customer Focus: Ability to work cross-functionally and manage multiple responsibilities with tight deadlines Detail Oriented: Focus on data accuracy and system integrity Trust: Demonstrated ability to handle highly sensitive data