Compensation Analyst

An established financial services firm in Manhattan is seeking a Sr. Compensation Analyst to join their team. Must have at least 5-8 years of strong reporting, Excel and data analytics skills, with experience in Python a huge plus. Need financial services industry experience

• $150-180K base + bonus
• Hybrid schedule, 4 days onsite, 1 remote
• Hours: 9-5

Responsibilities:

• Support the organization's compensation department, ensuring seamless operations and data-driven decision-making
• Build and maintain complex models to evaluate the competitiveness of the firm's global compensation programs
• Oversee global market benchmarking and trends
• Serve as the subject matter expert to HRBPs and stakeholders
• Utilize advanced data analytics tools to manage and analyze compensation-related data
• Collaborate with HR and cross-functional teams to address compensation requests and reporting needs
• Contribute to workforce planning, bonus accruals, and headcount management through accurate data reporting
• Ensure data quality and integrity across multiple HR systems and platforms
• Develop and maintain documentation for data definitions, methodologies, and reporting pipelines
• Stay updated on industry trends and best practices in compensation analytics
• Extract, clean, and aggregate data from HR systems to create dashboards and reports
• Conduct audits to ensure data accuracy and resolve discrepancies
• Manage requests related to bonus accruals, headcount, and compensation adjustments
• Utilize Excel, SQL, and Python for advanced data analysis and reporting
• Lead analytics projects to inform workforce planning and retention strategies
• Maintain documentation for analytical processes and methodologies

Requirements:

• Bachelor's degree in HR, Business Administration, Data Analytics, or related field
• Minimum 5-8 years of experience in HR analytics and compensation, ideally out of financial services
• Proficiency in Excel, SQL, and Python for data analysis
• Proven hands-on experience with Workday HRIS
• Experience using financial services market databases (i.e. Mercer, Willis Towers Watson, etc)
• Strong analytical skills and ability to synthesize data into actionable insights
• Knowledge of global reward structures, including bonus pools and complex equity reward mechanics
• Excellent communication skills for presenting findings to diverse audiences
• Commitment to diversity, equity, and inclusion in the workplace