Global Compensation Analyst II
Office of Compensation
Exempt, Regular, Full Time, Pay Grade 2.3
Location: Hybrid (Onsite presence determined by leadership)
University of Maryland Global Campus (UMGC) is seeking a Global Compensation Analyst II to join our Compensation Rewards team. This role is ideal for a data-driven professional who can translate compensation data into actionable insights and support key compensation programs across a global workforce. You will leverage Workday, modern technologies, including AI-enabled capabilities-to enhance reporting, improve processes, and inform pay decisions.
Job Duties
As a Compensation Analyst II, you will focus on analysis, insight generation, and program support:
- Conduct market pricing and benchmarking using external survey data and internal job information
- Analyze compensation metrics (e.g., compa-ratio, pay equity indicators, market positioning) and translate findings into clear recommendations
- Support compensation cycles in Workday, including data validation, process monitoring, and issue resolution
- Assist in developing dashboards and reports to improve visibility into compensation trends and outcomes
- Identify patterns, anomalies, and risks in compensation data and recommend appropriate actions
- Partner with HR Business Partners and Talent Acquisition to support offers, promotions, and job changes
- Contribute to continuous improvement of compensation processes through automation and workflow optimization
- Support enhancements to Workday and reporting tools to improve efficiency and scalability
Minimum Required Qualifications
- Bachelor's degree in Human Resources, Finance, Business, Economics, or related field
- Two years of Compensation experience
- Hands-on experience with Workday (reporting, data management, or compensation processes)
- Strong analytical skills with proficiency in Excel (pivot tables, lookups, data analysis)
- Ability to interpret data and clearly communicate insights to stakeholders
Preferred Qualifications
- Familiarity with data visualization tools (Power BI, Tableau, or similar)
- Experience leveraging automation or AI-supported tools in reporting or data analysis
- Experience in a global or multi-state compensation environment
- CCP certification (or progress toward certification)
