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