Intern, Rewards Consulting (May 2027 Intake)

Mercer; Singapore; Hybrid; SGD 20,000 - 25,000; Full time

Job summary

Marsh in Singapore is seeking a compensation analytics intern to join our Compensation Consulting team, part of the People and Investments business. This hybrid role requires in-office presence at least three days per week and supports TRS data, market outreach, and advisory projects across Singapore and SEA.

You will work closely with consultants to deliver client-ready insights, perform targeted research, and assist with workshops and data preparation from May 2027 for a 3–6 month period.

Qualifications

• Currently enrolled in a Bachelor’s or Master’s program in HR, Economics, Statistics or a related field
• Proficient in Excel and PowerPoint with strong data visualization skills
• Ability to analyze data, synthesize findings, and present actionable insights
• Experience with public filings, market research, or remuneration data is a plus
• Available full-time for 3–6 months starting May 2027

Responsibilities

• Support the management of our Total Remuneration Surveys (TRS) data submissions for accuracy and validation
• Assist with ad-hoc client data requests and market outreach to promote rewards products
• Support advisory projects such as job evaluations, salary structure designs, and incentive reviews
• Conduct targeted research on industry trends, regulatory requirements, and SEA labour market in Singapore
• Prepare materials for client workshops and summarize key discussion points for stakeholders
• Coordinate with internal teams to gather data and resources for project execution

Skills

Excel

Data visualization

PowerPoint

Analytical thinking

Team collaboration

Education

Pursuing degree in HR/Analytics/Finance

Tools

Power BI

Pivot Tables

Job description

We are seeking a talented individual to join our Compensation Consulting team, part of our People and Investments business at Marsh. This role will be based in Singapore. This is a hybrid role that has a requirement of working at least three days a week in the office.

As an intern, you will support the Rewards team in two key areas: driving business development & product insights for our Total Remuneration Surveys (TRS) and providing analytical support for rewards advisory projects. You will work closely with consultants and internal stakeholders to help deliver client-ready insights and support a range of rewards solutions across Singapore and the wider SEA region.

We will count on you to:

• Support the management of our annual Total Remuneration Surveys (TRS) through the review and validation of client data submissions
• Assist with ad-hoc client data requests and support market outreach activities to promote rewards products and services to existing and potential participants
• Support the delivery of advisory projects such as job evaluations, salary structure designs, and short- and long-term incentive reviews
• Conduct targeted research on industry-specific trends, regulatory requirements, and local labour market conditions in Singapore and the wider SEA region
• Support consultants in preparing and facilitating client workshops or industry-specific meetings by preparing materials, managing documentation, and summarizing key discussion points
• Coordinate with internal stakeholders to gather necessary data and resources for project execution

What you need to have:

• Proficiency in Excel, with the ability to build dynamic models (e.g., using XLOOKUP, INDEX/MATCH, and Pivot Tables) to simulate various compensation scenarios and cost impacts
• Proficiency in PowerPoint with an emphasis on creating structured, logical narratives and using data visualizations to simplify complex reward concepts for senior stakeholders
• Ability to move beyond data processing to identify patterns, provide a clear, evidence-based summary of findings, and summarize them into practical implications
• Ability to independently navigate public filings (annual reports, 10-Ks), peer group data, and market news to extract specific organizational or executive pay information
• Available full-time for a minimum of 3 to 6 months, starting from May 2027.

What makes you stand out:

• Experience with data visualization tools and techniques
• Prior knowledge or internship experience in Human Resources, Data Analytics, or a quantitative field e.g. Finance or Statistics
• Ability to work collaboratively in a team environment and communicate effectively

Why join our team:

• We help you be your best through professional development opportunities, interesting work, and supportive leaders.
• We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have an impact for colleagues, clients, and communities.
• Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.

Marsh is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

R_365523