Compensation Analytics & Technology Coordinator

Summary

SouthState Bank is a financial partner committed to helping customers and supporting team member success. The Compensation Analytics & Technology Coordinator advances compensation data, analytics, technology, and process automation capabilities, supporting dashboards, HRIS systems, incentive administration, AI-enabled tools, data governance, and strategic workforce planning.

Responsibilities

• Develop, maintain, and enhance compensation dashboards, KPIs, executive reporting, and analytical tools to support compensation planning, workforce planning, labor cost analysis, salary movement, incentive effectiveness, pay equity, pay compression, and internal alignment reviews
• Support compensation technology and systems by partnering with HRIS, Technology, vendors, and Compensation team members to optimize Workday functionality, improve system capabilities, support data integrations, and develop scalable self-service reporting tools
• Design and improve technology-enabled processes for incentive administration, including eligibility tracking, goal administration, participant management, payout validation, automated reporting, controls, and audit-supporting documentation
• Identify, evaluate, and support practical applications of AI, automation, and emerging technology to improve compensation decision-making, salary recommendations, market pricing, job evaluation, incentive analysis, and overall process efficiency
• Establish and maintain compensation data governance practices, data quality controls, workflow documentation, and reporting standards to strengthen accuracy, transparency, auditability, and consistency across compensation and incentive processes
• Support compensation strategy and future-state process design by contributing analytics and technology expertise to job architecture, salary structure, market pricing, compensation roadmaps, project implementations, and strategic workforce planning initiatives
• It is the responsibility of this role to take ownership of all tasks and challenges that they encounter in the operation of their assigned position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions

Skills

• Bachelor's degree in Human Resources, Finance, Business Administration, Economics, Statistics, Data Analytics, Information Systems, or related field required
• Equivalent combination of education and directly related experience may be considered
• Knowledge of compensation concepts, including salary administration, market pricing, incentive compensation, pay equity, pay compression, and internal alignment
• Strong analytical skills with the ability to interpret data, identify trends, validate results, and translate findings into clear, actionable insights
• Proficiency with Microsoft Excel and experience using reporting, dashboard, or business intelligence tools such as Power BI, Tableau, or similar platforms
• Ability to support process automation, system enhancements, reporting improvements, and technology-enabled solutions that improve efficiency and governance
• Strong attention to detail, organizational skills, project coordination skills, and ability to manage multiple priorities while meeting deadlines
• Ability to communicate technical information clearly to non-technical audiences and partner effectively with Compensation, Human Resources, Finance, Technology, vendors, and business leaders
• Sound judgment, discretion, and ability to handle confidential compensation, employee, and business information appropriately
• Three or more years of related experience in compensation, HR analytics, workforce analytics, HR technology, data reporting, or business analytics preferred
• Experience supporting compensation planning, salary administration, incentive compensation, market pricing, reporting, dashboards, or process automation preferred
• Experience working with HRIS, Workday, business intelligence tools, data management processes, or cross-functional project support preferred
• CCP or PMP preferred
• Compensation, HR analytics, Workday, data analytics, Power BI, Tableau, or related certification preferred
• Working knowledge of HRIS systems, compensation technology, data integrations, workflow documentation, and data quality practices
• Workday experience preferred
• Familiarity with artificial intelligence, predictive analytics, machine learning concepts, or emerging technology applications that support compensation and workforce analytics preferred

Qualifications

Must Haves

• Bachelor's degree in Human Resources, Finance, Business Administration, Economics, Statistics, Data Analytics, Information Systems, or related field required
• Equivalent combination of education and directly related experience may be considered
• Knowledge of compensation concepts, including salary administration, market pricing, incentive compensation, pay equity, pay compression, and internal alignment
• Strong analytical skills with the ability to interpret data, identify trends, validate results, and translate findings into clear, actionable insights
• Proficiency with Microsoft Excel and experience using reporting, dashboard, or business intelligence tools such as Power BI, Tableau, or similar platforms
• Ability to support process automation, system enhancements, reporting improvements, and technology-enabled solutions that improve efficiency and governance
• Strong attention to detail, organizational skills, project coordination skills, and ability to manage multiple priorities while meeting deadlines
• Ability to communicate technical information clearly to non-technical audiences and partner effectively with Compensation, Human Resources, Finance, Technology, vendors, and business leaders
• Sound judgment, discretion, and ability to handle confidential compensation, employee, and business information appropriately

Nice to Haves

• Three or more years of related experience in compensation, HR analytics, workforce analytics, HR technology, data reporting, or business analytics preferred
• Experience supporting compensation planning, salary administration, incentive compensation, market pricing, reporting, dashboards, or process automation preferred
• Experience working with HRIS, Workday, business intelligence tools, data management processes, or cross-functional project support preferred
• CCP or PMP preferred
• Compensation, HR analytics, Workday, data analytics, Power BI, Tableau, or related certification preferred
• Working knowledge of HRIS systems, compensation technology, data integrations, workflow documentation, and data quality practices
• Workday experience preferred
• Familiarity with artificial intelligence, predictive analytics, machine learning concepts, or emerging technology applications that support compensation and workforce analytics preferred

Benefits

• Remote work arrangement