Employee Data Analyst
Salesforce
Hyderabad, India
3d ago

Job Details

The Employee Data Analyst is a member of the Global Operations Centre (GOC)- 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 Supervisor GOC WD and is critical to ensuring the success of our employees at Salesforce. Candidate shall have strong organizational 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 organization.

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 disciplines.

  • Responsibilities : The responsibilities of the Employee Data Analyst include but are not limited to the following : Data Management for all forms of Employee data Processing new hires (NH), audits of manager self-service (MSS) transactions on Workday Audit global work authorisation (GWA) for new hires and international transfers Support our centralized 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 for all things related to worker data, ensuring data integrity and global standardization of key processes and transactions Act as SME for all the processes and can function as an escalation point for GOC Proactively identify process improvements and process redundancies, and collaborate towards an improved and more productive process that enhances the employee experience Participate in testing(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 Create and analyze various HR reports 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 Mergers and Acquisitions, System related projects, and other project roll outs Work collaboratively across a global team to continuous improvement Required skills / experience : Bachelor's degree 4-6 year's work experience in an HR Data Management or HR operations role Experience with global HR Systems (Workday) Must have strong understanding of data integrity and data privacy requirements Proven problem-solving skills with a passion for technology, process improvement, and continuous learning Excellent verbal and written communication skills : concise, articulate, and confident Work effectively in a team environment Proven ability to diagnose a problem, informed by data and lead correction efforts 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, prioritization and follow-up skills Requirements For Success Bachelor’s Degree and 2-3 years of progressive experience working in an HRIS system (Workday preferred) 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

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