Compensation Analyst

Green Key Resources; New York (NY); Hybrid; USD 150,000 - 180,000; Full time

Job summary

Green Key Resources is seeking a Senior Compensation Analyst in Manhattan for a role blending data analytics and compensation strategy. The candidate will leverage Excel, SQL, and Python to build models, benchmark global compensation programs, and partner with HRBPs across the organization.

The role requires 5–8 years of HR analytics and compensation experience, ideally in financial services, and hands-on Workday HRIS expertise.

Qualifications

• 5–8 years of HR analytics and compensation experience, preferably in financial services.
• Proficient in Excel, SQL, and Python for data analysis.
• Hands-on experience with Workday HRIS.
• Experience using financial services market databases (e.g., Mercer, Willis Towers Watson).
• Strong analytical and communication skills to present insights to stakeholders.

Responsibilities

• Support the organization's compensation department, ensuring data-driven decisions.
• Build and maintain complex models to evaluate competitiveness of global compensation programs.
• Oversee global market benchmarking and trends.
• Serve as SME to HRBPs and stakeholders.
• Utilize advanced data analytics tools to manage compensation-related data.
• Collaborate with HR and cross-functional teams to address 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.

Skills

Reporting

Excel

Data analytics

Python

Communication

Stakeholder collaboration

Education

Bachelor's degree in HR, Business Administration, Data Analytics, or related field

Tools

Workday HRIS

Mercer database

Willis Towers Watson databases

Job description

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