Compensation Analyst

Responsibilities

• Support compensation process design, market analysis, and budgeting across [solidcore]'s hourly and salaried workforce.
• Administer annual, quarterly, and off-cycle merit increase and bonus processes, including modeling, communication, and execution in Workday.
• Partner cross functionally on coach pay, new studio opening pay rates and incentive programs.
• Complete salary surveys and benchmark positions to support salary structure maintenance and competitive pay analysis.
• Conduct FLSA classification reviews to ensure ongoing compliance with federal, state, and local wage and hour requirements.
• Maintain and audit compensation data in Workday, ensuring accuracy of salaries, titles, job profiles, salary grades, pay ranges, and classifications.
• Build and maintain compensation rate tables in Workday, ensuring pay lookup values are current, accurate, and aligned approved structures.
• Draft compensation communications, offer letters, total reward statements, and merit and bonus letters for review and distribution.
• Document compensation processes, timelines, and decision frameworks to support consistency and scalability.

HR Analytics & Reporting

• Prepare reports and analysis to support compensation decisions, business planning, and leadership reviews.
• Build and maintain recurring workforce dashboards covering headcount, pay equity, and turnover trends.
• Develop ad hoc analysis to support business decisions, including promotion modeling, cost projections, and market positioning.
• Partner with the HRIS team to ensure Workday data integrity and support system reporting needs.
• Identify and suggest process improvements to enhance accuracy, compliance, and operational efficiency.
• Contribute to performance evaluation processes and broader People Operations projects as needed.

Qualifications

• 3–4 years of experience in compensation, total rewards, or HR analytics.
• Certified Compensation Professional (CCP) designation preferred
• Strong analytical skills with demonstrated ability to work with large data sets and translate them into clear recommendations.
• Advanced proficiency in Microsoft Excel or Google Sheets — pivot tables, VLOOKUPs, modeling, and data visualization.
• Experience with compensation survey participation and data cuts (Mercer, Radford, CompData, or similar).
• Working knowledge of FLSA, pay equity principles, and wage and hour compliance.
• Experience using an HRIS system — Workday experience strongly preferred.
• Strong written and verbal communication skills — able to present data and recommendations clearly to both technical and non-technical audiences.