Senior Compensation Consulting Analyst

Marsh McLennan is hiring a Senior Compensation Consulting Analyst in Singapore, Singapore. Level rates it ; you can apply on Marsh McLennan.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
Level classifies it as a senior role.
Level lists 643 other open roles at Marsh McLennan.
The role was posted in the last few days.

AI in this role

Company:

Marsh

Description:

We are seeking a talented individual to join our Mercer Careers team at Mercer in Singapore. This role will be based in our Singapore office.

As a Senior Compensation Consulting Analyst, you will support Mercer’s reward products business through client management, compensation analysis and project delivery. You will work closely with clients and internal teams to provide analysis, presentations and consulting support across total rewards topics.

We will count on you to:

Manage a portfolio of clients within Mercer’s reward products business
Build and maintain effective relationships with key accounts and assigned industries
Collaborate with analysts and project managers to retain survey and product subscriptions and support account growth
Analyse compensation and benefits data, identify market trends, benchmark job evaluations and support salary structure and incentive design analysis
Contribute to custom survey and consulting projects across total rewards, with the opportunity to grow into project management responsibilities
Prepare presentations and reports that communicate analytical insights and industry trends
Respond to client requests promptly and professionally, ensuring a high standard of service

What you need to have:

Prior experience in compensation or rewards consulting
Knowledge of total rewards topics including salary structure, grade levelling, job evaluation and incentive pay design
Well-developed communication and presentation skills
Strong stakeholder management and project coordination skills
Ability to build rapport and maintain relationships with clients and internal teams
A genuine interest in solving client problems and creating meaningful impact

What makes you stand out:

Experience supporting custom surveys or consulting projects
Exposure to advanced rewards, performance management or bonus design analysis
A collaborative approach and an interest in contributing to an innovative team culture

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 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 providing an inclusive work environment. We aim to attract and retain the best, most qualified people and value colleagues of all backgrounds, without regard to 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.

How we rate this

Senior Compensation Consulting Analyst at Marsh McLennan rates 33 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.