Early Careers: Compensation Analyst (Work and Rewards) - Atlanta - 2027
WTW · Atlanta
Employment-based non-immigrant visa sponsorship and/or assistance is not offered for this specific job opportunity. We will only consider candidates who are currently authorized to work in the United States and who will not require sponsorship now or in the future. Please note: student visas, CPT, OPT, H-1B, TN, and other temporary work authorizations are considered restricted forms of employment eligibility. Once these expire, the candidate must be able to present another valid form of work authorization.
We are in the business of transforming tomorrows. Join us and transform yours.
The Business
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.
Explore an opportunity. 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.
The Role
You will work closely with leading consultants, developing cutting edge technical knowledge and skills, as well as project and client management capabilities.
Our projects range in scope from rewards (e.g., compensation benchmarking, base pay program, job leveling/job architecture, annual and long-term incentive program design, pay equity studies, pay-for-performance analyses) to career and talent management (e.g., competency and skills, performance management, organization and function design) to broad cross-group engagements such as support for M&A transactions, total rewards strategy and optimization.
While daily work and assignments will vary, some of your main responsibilities will include:
- 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