Compensation Analyst

The Compensation Analyst supports the administration, analysis, and continuous improvement of Global Supply Chain compensation programs and processes. This role partners with HR, Finance, and business leaders to provide compensation analysis, reporting, and recommendations that support consistent and competitive pay practices. 

Key Responsibilities:

• Perform compensation analyses, including market pricing, internal equity reviews, salary recommendations, incentive calculations, and other ad hoc analyses. 
• Support the administration of annual compensation programs, including merit and incentives. 
• Partner with HR to evaluate compensation needs and provide data-driven recommendations. 
• Maintain compensation and other related reports, dashboards, and analytical tools. 
• Perform data audits to ensure compensation information is accurate and complete. 
• Identify opportunities to improve compensation processes. 

Travel Requirement: Up to 5%

Job duties include contact with other employees and access confidential and proprietary information and/or other items of value, and such access may be supervised or unsupervised. The Company therefore has determined that a review of criminal history is necessary to protect the business and its operations and reputation and is necessary to protect the safety of the Company’s staff, employees, and business relationships.

This role is not remote/ hybrid and will report to Sherwin-Williams Global Headquarters located at 1 Sherwin Way, Cleveland, OH 44113.

Position Qualifications:

Required:

• Must be eighteen (18) years of age or older.
• Must be legally authorized to work in the country of employment without needing sponsorship for employment work visa status now or in the future.
• Bachelor’s degree or higher in Accounting, Finance, Human Resources, or Business Administration. 
• At least 2 years of work experience in an analytical role OR at least 1 year of direct work experience as a Compensation Analyst. 
• Proficiency in Microsoft Excel working with large datasets, formulas, lookups and pivot tables. 
• Strong attention to detail and ability to identify and resolve data inconsistencies. 
• Ability to independently manage assignments and priorities while meeting established deadlines. 

Preferred:

• Experience partnering with HR, Finance, and business stakeholders. 
• Experience independently managing moderately complex analytical projects or processes