Early Careers: Compensation Analyst (Work and Rewards) - Atlanta - 2027

WTW; Atlanta (GA); On-site; USD 75,000 - 80,000; Full time

Benefits offered by this job

Annual bonus

Health benefits

Hybrid work model

Job summary

Willis Towers Watson in New York is seeking an Early Careers Compensation Analyst to assist in designing work and rewards programs, supporting benchmarking, and contributing to talent management strategy.

The role blends data analysis, client service, and collaboration with Data & Analytics; strong Excel skills and a bachelor’s or master’s degree are expected; graduates between May 2026 and June 2027 are welcome.

Qualifications

• Progress toward a bachelor’s or master’s degree with GPA 3.0+.
• Strong analytical and client service skills demonstrated in internships or similar.
• Interest in Compensation and Career frameworks as shown by coursework or experience.
• Excellent MS Office skills, especially Excel.

Responsibilities

• Partner with consultants and clients to design work and rewards programs.
• Collaborate with Data & Analytics to provide market pay benchmarking insights.
• Help ensure programs are competitive via analyses using WTW data and tools.
• Model pay structures and conduct financial impact analyses of designs.

Skills

Strong written and verbal comms

Microsoft Excel

GenAI familiarity

Analytical skills

Education

Bachelor's or Master's degree (business/quantitative)

Tools

GenAI platforms

Job description

Description

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 &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

  Qualifications

  Role 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 New York office.
  • 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 2026 through June 2027

  Other hiring locations for Early Careers: Compensation Analyst (Work and Rewards): Chicago, IL; New York, NY; Dallas/Houston, Texas

  Compensation and Benefits: Base salary range and benefits information for this position are being included in accordance with requirements of various state/local pay transparency legislation. Please note that salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, qualifications/experience, performance in the role and potential for revenue generation (Producer roles only).

  Compensation: The base salary compensation range being offered for this role is $75,000 - $80,000 USD per year. This role is also eligible for an annual short-term incentive bonus.

  Company Benefits: WTW provides a competitive benefit package which includes the following (eligibility requirements apply):

  • Health and Welfare Benefits: Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Group Accident, Group Critical Illness, Life Insurance, AD&D, Group Legal, Identify Theft Protection, Wellbeing Program and Work/Life Resources (including Employee Assistance Program)
  • Leave Benefits: Paid Holidays, Annual Paid Time Off (includes paid state/local paid leave where required), Short-Term Disability, Long-Term Disability, Other Leaves (e.g., Bereavement, FMLA, ADA, Jury Duty, Military Leave, and Parental and Adoption Leave), Paid Time Off (Washington State only)
  • Retirement Benefits: Contributory Pension Plan and Savings Plan (401k).

  Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles County Fair Chance Ordinance for Employers, we will consider for employment qualified applicants with arrest and conviction records.

  EOE, including disability/vets

  This position will remain posted for a minimum of three business days from the date posted or until sufficient/appropriate candidate slate has been identified.