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Marsh McLennan

Senior Compensation Consulting Analyst

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

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Level classes it as a senior role.
  • Marsh McLennan has 647 other open roles on Level.
  • Posted in the last few days.

AI in this role

Company:

Marsh

Description:

We are seeking a talented individual to join our Career Products Team at Mercer in Manila. This role will be based in BGC, Taguig, and is a hybrid position requiring at least three days per week in the office.

In this role, you will contribute to the growth of both existing and new Career business by managing and delivering Total Remuneration and Benefits Surveys, working closely with clients, operations, and regional teams. You will work with a diverse range of clients on consulting projects, providing support in compensation structure design, benefits benchmarking and review, incentive design, job evaluation as well as analyzing market trends, best practices, and labor regulations.

In addition to survey delivery and consulting support, you will play an active role in driving business growth by identifying client needs, positioning appropriate solutions, and supporting revenue generation across the Career portfolio.

We will count on you to:

  • Manage industry surveys related to marketing, data management, and survey delivery by working closely with the Regional Industry Survey team, Operations, and the Client Solutions Team (CST) survey operations.

  • Optimize the use of survey data through effective presentation of survey results and by training clients on the use of the online survey tool (WIN).

  • Establish rapport with existing and prospective clients by professionally addressing their inquiries to ensure high-quality services and client satisfaction.

  • Provide support in establishing networks and developing new business and markets by introducing other services and products to increase revenue. Upsell other Mercer workforce products (TRS/TRD/MBM, publications, mobility, etc.) and identify cross-LOB opportunities.

  • Provide support to senior consultants and business leader on consulting projects (compensation structure design, benefits benchmarking and review, incentive design, job evaluation, competency framework design, performance management, employee engagement surveys, focus group discussions, etc.).

  • Contribute 5%-10% to the Career revenue target.

What You Need to Have

  • 4–6 years of experience in HR consulting, total rewards, compensation, performance management, or related disciplines.

  • Strong experience delivering compensation or workforce strategy projects in a client-facing environment.

  • Ideally with experience in business development or sales within a consulting or professional services environment.

  • Experience carrying or contributing to revenue targets and supporting or closing new business opportunities.

  • Proven ability to identify client needs, develop tailored solutions, and translate discussions into revenue-generating engagements.

  • Proven ability to manage consulting deliverables independently under tight timelines.

  • Advanced Excel skills and experience handling survey or market data.

  • Excellent communication and presentation skills, with the ability to influence stakeholders and senior decision-makers.

What Makes You Stand Out

  • Direct experience managing and delivering Total Remuneration Surveys and Benefits Survey.

  • Experience in a hybrid consulting-sales role with revenue accountability.

  • Strong stakeholder management skills across multiple industries.

  • Proactive mindset and the ability to thrive in a fast-paced, innovation-driven environment.

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.

About MARSH/ MERCER:

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.

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.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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.

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