Early Careers: Compensation Analyst (Work and Rewards) - Texas - 2026

WTW•Dallas, TX

7d•Hybrid

About The Position

The Work & Rewards (W&R) business at WTW optimizes work and rewards strategies to unlock value and deliver exceptional outcomes. A high performing team of over 1,100 colleagues globally supports clients across all industries in areas ranging from executive compensation and board advisory, broad-based employee rewards and job framework design, career strategy, and rewards data intelligence. Our Work and Rewards teams are the global leaders in effectively shaping the future of work and aligning executive and broad employee pay, talent management and career development programs with the interests of our clients’ stakeholders. As a member of our team, you will have the opportunity to work with industry-leading consultants and clients in a wide range of areas, including executive and broad-based compensation, career frameworks, corporate governance, talent management, and sales force effectiveness. You will have immediate exposure to client assignments in client facing roles which will draw on your imagination and creativity as well as your ability to analyze data, draw conclusions and present results. These experiences will help build your technical knowledge and overall industry expertise while you benefit from more structured training that is tailored to our business.

Requirements

Progress towards a bachelor’s or master’s degree in a business-oriented field or any other major with significant quantitative course work, and minimum overall GPA of 3.0
Work experience that demonstrates strong analytical and client service skills (e.g., internships/part-time jobs involving quantitative and qualitative data analysis)
Interest in our business (Careers and Compensation) as demonstrated through work experience, coursework, and/or research assignments
Passion for solving problems and sharing solutions to exceed the standards of the client
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 and a demonstrated ability to interact with colleagues at all levels
Excellent Microsoft Office skills, particularly in Excel
Familiar, at a basic level, with using GenAI platforms to boost productivity and quality of tasks
This is a hybrid position that requires you to be local and able to commute to the office to which you applied
Able to work legally in the United States indefinitely and without Visa sponsorship
Accepting applications from candidates that graduate with a bachelor’s or master’s degree between May 2025 through June 2026

Responsibilities

Partnering with consultants and clients to design work and rewards programs to attract, reward and retain talent
Collaborating with our Data & Analytics team to provide clients with market pay benchmarking and strategic insights
Helping our clients ensure that their rewards programs are competitive by performing analyses of program design and other rewards practices utilizing the range of WTW data, tools and processes
Modeling pay structures and conducting financial impact analyses of alternative designs
Developing, analyzing, and calibrating executive and broad-based incentive plan designs that help support companies’ business strategies
Drafting reports and exhibits presenting the team’s analytical work to client audiences
Performing industry and financial research
Participating in client meetings and working sessions
Contributing to sales and marketing efforts by assisting with proposals and other client-specific business development efforts
Broadening your understanding of our client solutions and the digital platforms and AI applications that are reshaping our industry and enabling your work
Actively building a sales mindset through a focus on cultivating internal and client relationships, understanding our W&R value proposition, identifying opportunities, and contributing to business development through collaboration and continuous learning