Compensation Analyst (Hybrid) — Data-Driven Rewards

Willis Towers Watson; Houston (TX); Hybrid; USD 75,000 - 80,000; Full time

Benefits offered by this job

Health and Welfare Benefits

401k / Savings Plan

Paid Holidays and PTO

Job summary

Willis Towers Watson invites applications for an Early Careers Compensation Analyst role. The position is hybrid and based in the New York area, focused on rewards design, benchmarking, and talent management.

You will work with top consultants on pay and career systems while developing skills in data analysis, client interaction, and proposal support. The role emphasizes collaboration with the Data & Analytics team, contributing to market insights, and supporting sales efforts while building a

Qualifications

• Pursuing a bachelor’s or master’s degree with a GPA ≥3.0.
• Experience with quantitative data analysis is a plus.
• Strong analytical and client-service skills.

Responsibilities

• Partner with consultants to design work and rewards programs.
• Collaborate with Data & Analytics for market benchmarking insights.
• Analyze and calibrate rewards designs and practices using company data.
• Model pay structures and run financial impact analyses.
• Draft reports and exhibits presenting analyses to client audiences.

Skills

Excel

Microsoft Office

Analytical skills

Client service

GenAI basics

Communication skills

Independent working

Education

Bachelor’s or Master’s degree (business or quantitative)

Tools

GenAI platforms

Job description

Willis Towers Watson invites applications for an Early Careers Compensation Analyst role. The position is hybrid and based in the New York area, focused on rewards design, benchmarking, and talent management.

You will work with top consultants on pay and career systems while developing skills in data analysis, client interaction, and proposal support. The role emphasizes collaboration with the Data & Analytics team, contributing to market insights, and supporting sales efforts while building a