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Employee Data Analyst

Employee Data Analyst

Salesforce, Inc..Ciudad de México, Mexico
Hace 1 día
Descripción del trabajo

Overview

The Employee Data Analyst is a member of the Workday Data Processing 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 Data Manager 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

  • Act as point of contact and subject matter expert(SME) for all things related to Employee data, ensuring data integrity and global standardization of key processes and transactions
  • Act as liaison between Global ES Ops / COE Teams to make sure processes and audits are globally aligned
  • Participate in and / or lead and / or coordinate Global projects, system enhancements and audits
  • Identify and Perform data audits to ensure meeting clean data requirements
  • Support Data specialists with complex transactions / cases to resolve issues and keeping stakeholders informed
  • Review / Audit and Process Mass load all EIB’s such as OTP, Change Job’s, Org Assignments etc..
  • 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
  • Case management - case triaging, adhering to TAT, meet CSAT expectations
  • Create and analyze various reports for monthly, quarterly business review (MBR / QBR)
  • 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 and Managers
  • Proactively identify process improvements and process redundancies, and collaborate towards an improved and more productive process that enhances the employee experience
  • Ensure there are zero compliance deficiencies by closely auditing the processes in the team
  • Liaise effectively and collaboratively with stakeholders and other support teams to resolve issues
  • Lead and / or support Process transition from COE / Regional teams

Required skills / experience

  • 4-6 year’s work experience in an HR Data Management or HR operations role
  • Experience in Workday HCM functions and EIB’s. (or any ERP similar to WD)
  • 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 prioritize 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, organizational, prioritization 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

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