Pay Equity Analytics Consultant

Aon plc; New York (NY); On-site; USD 83,000 - 107,000; Full time

Job summary

Aon plc seeks a Consultant – Pay Equity to help identify and fix compensation gaps across client organizations. You will lead pay equity engagements, apply econometric models, and translate findings into actionable recommendations for executives, shaping client strategies globally.

The role sits within the Transformation & Workforce Innovation team, collaborating with the broader Reward & Workforce Advisory business to deliver analytics, develop IP, and support business development.

Qualifications

• Bachelor’s degree in Business, Data Science, Economics, Human Resources, I/O Psychology, Statistics, or related field
• 3-4 years of consulting experience
• Technically skilled in applied econometric modeling
• Outstanding verbal and written communication skills
• Experience using Python, R, or other scripting languages for data manipulation and analysis

Responsibilities

• Collaborate with the team to deliver and/or project-manage pay equity engagements
• Employ analytics to deliver insights and advise clients
• Use data visualization techniques to identify insights and articulate findings
• Run multivariate regression models to detect compensation discrimination
• Communicate quantitative analyses to executive stakeholders
• Support proposal writing and client conversations
• Contribute to intellectual capital and client-specific solutions
• Contribute to knowledge leadership via white papers and webinars

Education

Bachelor’s degree in Business, Data Science, Economics, Human Resources, I/O Psychology, Statistics, or related field

Graduate degree in Economics, Business, Data Science, Statistics, I/O Psychology, or related field

Tools

Python

R

Job description

Aon plc seeks a Consultant – Pay Equity to help identify and fix compensation gaps across client organizations. You will lead pay equity engagements, apply econometric models, and translate findings into actionable recommendations for executives, shaping client strategies globally.

The role sits within the Transformation & Workforce Innovation team, collaborating with the broader Reward & Workforce Advisory business to deliver analytics, develop IP, and support business development.