Company:

Mercer

Description:

We are seeking a motivated individual to join our Compensation Consulting team in Singapore. This role provides a unique opportunity to support both high-impact advisory projects and strategic business development activities. This role will be based in Singapore.

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.

We will count on you to:

• Support the management of our annual Total Remuneration Surveys (TRS) though 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 project 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 material preparation, 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 etc.) 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 and provide a clear, evidence-based summary of findings and summarise 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.

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

• A proactive approach to troubleshooting technical hurdles or research gaps independently.

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.

Mercer is a business of Marsh (NYSE: MRSH), 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 about Mercer, visit mercer.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.