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
