Salesforce

Employee Data Operations, Senior Analyst

Salesforce

full-time

Posted on:

Location Type: Hybrid

Location: AtlantaUnited States

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About the role

  • Provides vision, direction on what data needs to be collected and how to collect it.
  • Asks questions that get to the next level of insight or present data in a way which may be more intuitive or convey a measure.
  • Execute and oversee high-volume mass loads into Workday using EIBs (Enterprise Interface Builders) for critical events such as Acquisitions (M&A), Reorganizations, and Annual Compensation cycles.
  • Document validation processes, findings, and methodologies to ensure transparency and facilitate knowledge sharing within the team.
  • Recommend and plan for improvements, enhancements, and new applications to the Workday system.
  • Determine solutions and opportunities to meet emerging ES/business priorities and requirements.
  • Investigate the source of data quality errors, working across ES and IT/DET to understand process or system breakdowns.
  • Recommend and help implement solutions to prevent future issues.
  • Ensure all data handling practices comply with SOX regulations and GDPR/Privacy standards.
  • Maintain rigorous audit trails and documentation for all data transformations.
  • Provide critical operational and analytical support for ES programs, including due diligence tasks such as data room tracking, initial data analysis, and managing data requests from stakeholders.
  • Actively research for new enhancements and releases in Workday, and continually challenge decisions to deliver a Workday environment that is best aligned with the needs of a global company.
  • Shift the organization from reactive reporting to proactive insight.
  • Advise stakeholders on what data should be collected to measure success effectively.
  • Network multi-functionally within ES - and beyond - finding opportunities to provide thought partnership for processes, procedures, and training that will shape the way the ES operates now and in the future.
  • Lead Data Management Workstreams, including managing large employee data sets with expertise in advanced Excel and Google Sheets (e.g., sorting, filtering, advanced formulas, and data analysis).
  • Work closely with Business Analysts to resolve conversion fallout and discrepancies, facilitating timely solutions and ensuring data integrity.
  • Proactively identify opportunities to enhance validation processes and contribute to the development of best practices in data management area.

Requirements

  • 5+ years of operational or consultant experience in People Operations/Human Resources processes and HRIS Systems (Workday is a must)
  • Proven expertise in core HR functions and end-to-end processes, coupled with direct experience in an HR Operations or shared services environment.
  • Excellent work ethic: Exhibits ability to self-manage, scope, prioritize, and communicate operational work results and deadlines on an ongoing basis.
  • Strong interpersonal, verbal, and written communication skills.
  • Experience with basic Python and strong SQL skills to write scripts that automate data tasks, such as pulling data from different systems and cleaning it for analysis.
  • Expertise in Excel - including creating pivot reports, VLOOKUPs, and charts/graphs partnered with analytical and problem solving experience
  • Ability to prepare and structure data tables that are used to build and power Tableau dashboards.
  • Can work autonomously and make independent decisions to meet deliverables with minimal oversight.
  • Be passionate about continuous improvement and want to continue learning to stay relevant to business changes and industry trends.
Benefits
  • time off programs
  • medical, dental, vision, mental health support
  • paid parental leave
  • life and disability insurance
  • 401(k)
  • employee stock purchasing program
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
WorkdayEIBsdata analysisPythonSQLExcelTableaudata validationdata transformationdata management
Soft Skills
self-managementprioritizationcommunicationinterpersonal skillsproblem solvinganalytical skillsautonomycontinuous improvementthought partnershipleadership