Early Careers: Compensation Analyst (Work and Rewards)

About This Role

This role involves partnering with consultants and clients to design and optimize work and rewards programs, conducting in-depth analyses, and contributing to strategic initiatives for a global human capital and benefits firm.

Responsibilities

• Partner with consultants and clients to design work and rewards programs to attract, reward and retain talent
• Collaborate with the Data & Analytics team to provide clients with market pay benchmarking and strategic insights
• Help clients ensure their rewards programs are competitive by performing analyses of program design and other rewards practices
• Model pay structures and conduct financial impact analyses of alternative designs
• Develop, analyze, and calibrate executive and broad-based incentive plan designs
• Draft reports and exhibits presenting analytical work to client audiences
• Perform industry and financial research
• Participate in client meetings and working sessions
• Contribute to sales and marketing efforts by assisting with proposals and business development
• Broaden understanding of client solutions and digital platforms/AI applications

Requirements

• Minimum overall GPA of 3.0
• Interest in Compensation and Careers as demonstrated through work experience, coursework, and/or research assignments
• Ability to be a self-starter and work independently, but also cooperatively in a close team environment
• Detail-oriented and strong analytical skills, including analyzing data and interpreting, summarizing and presenting findings
• Strong written and verbal communication skills
• Excellent Microsoft Office skills, particularly in Excel
• Familiarity with using GenAI platforms to boost productivity and quality of tasks
• Able to work legally in the United States indefinitely and without Visa sponsorship
• Ability to commute to the WTW office in Chicago, IL

Qualifications

• Bachelor’s or Master’s degree in a business-oriented field or any other major with significant quantitative course work
• Work experience that demonstrates strong analytical and client service skills (e.g., internships/part-time jobs involving quantitative and qualitative data analysis)

Skills

* Required skills

Benefits