Overview
On Site
USD 135,000.00 - 155,000.00 per year
Full Time
Skills
Data Analysis
Benchmarking
Human Resources
Business Administration
Economics
Statistics
HR Analytics
Analytical Skill
Management
Microsoft Excel
Pivot Table
Modeling
HR Management System
Reporting
Workday
SAP
Oracle
Tableau
Microsoft Power BI
Data Integrity
Finance
Communication
Presentations
Conflict Resolution
Problem Solving
Regulatory Compliance
Training
Recruiting
Military
Collaboration
Partnership
Decision-making
SAP BASIS
Job Details
Position Summary
The Compensation Data Analytics Lead is responsible for providing analytical, technical, and reporting support for the organization's compensation programs. This role manages core compensation data activities, including market benchmarking, modeling, survey submissions, and reporting, while ensuring data accuracy, compliance, and actionable insights for decision-making. The position operates under the direction of the Senior Director of Compensation and collaborates with Compensation team.
Qualifications
Required Education:
Bachelor's Degree in Human Resources, Business Administration, Economics, Statistics, or related field.
Required Experience:
3+ years in compensation analysis, HR analytics, or related field or equivalent combination of education and experience.
Preferred Experience:
2+ years experience in large, complex, or matrixed organizations.
Required Skills, Knowledge and Abilities:
Strong analytical and quantitative skills with demonstrated ability to manage and interpret complex datasets. Ability to translate data into insights that drive decisions. Proficiency in Excel (pivot tables, lookups, modeling); experience with HRIS and reporting tools (e.g., Workday, SAP, Oracle, Tableau, or Power BI). Knowledge of compensation principles and regulatory requirements. Detail Orientation: Strong commitment to accuracy and data integrity. Collaboration: Work effectively with HR, Finance, and business leaders. Communication: Clear presentation of complex information in user-friendly formats. Problem-Solving: Creative approach to addressing compensation and data challenges.
Preferred Skills, Knowledge and Abilities:
Familiarity with Radford, Mercer, CompAnalyst or other compensation survey platforms.
Additional Information
In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is USD $135,000.00 to USD $155,000.00. New York University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses, clinical compensation, or other items.
NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/nyugreen.
NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply at all levels.
The Compensation Data Analytics Lead is responsible for providing analytical, technical, and reporting support for the organization's compensation programs. This role manages core compensation data activities, including market benchmarking, modeling, survey submissions, and reporting, while ensuring data accuracy, compliance, and actionable insights for decision-making. The position operates under the direction of the Senior Director of Compensation and collaborates with Compensation team.
Qualifications
Required Education:
Bachelor's Degree in Human Resources, Business Administration, Economics, Statistics, or related field.
Required Experience:
3+ years in compensation analysis, HR analytics, or related field or equivalent combination of education and experience.
Preferred Experience:
2+ years experience in large, complex, or matrixed organizations.
Required Skills, Knowledge and Abilities:
Strong analytical and quantitative skills with demonstrated ability to manage and interpret complex datasets. Ability to translate data into insights that drive decisions. Proficiency in Excel (pivot tables, lookups, modeling); experience with HRIS and reporting tools (e.g., Workday, SAP, Oracle, Tableau, or Power BI). Knowledge of compensation principles and regulatory requirements. Detail Orientation: Strong commitment to accuracy and data integrity. Collaboration: Work effectively with HR, Finance, and business leaders. Communication: Clear presentation of complex information in user-friendly formats. Problem-Solving: Creative approach to addressing compensation and data challenges.
Preferred Skills, Knowledge and Abilities:
Familiarity with Radford, Mercer, CompAnalyst or other compensation survey platforms.
Additional Information
In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is USD $135,000.00 to USD $155,000.00. New York University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses, clinical compensation, or other items.
NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/nyugreen.
NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply at all levels.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.