Compensation Consultant

Marsh McLennan is hiring a Compensation Consultant in Frankfurt, Germany. Level rates it ; you can apply on Marsh McLennan.

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Little AI ●○○○ is how Level rates this role: aI is not part of the work.
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Posted in the last few days.

AI in this role

Company:

Marsh

Description:

Writes and structures client presentations/reports which typically require a high level of customization. Perform data analysis using advanced dynamic Excel modelling. Draws conclusions from the data for project managers’ and senior consultants’ review. Review and/or develop exhibits based on collected and calculated data. Works closely with project managers and senior consultants on the project to determine the exhibits to be included in the final client presentations. Understand project components and processes to make sure analyses are correct. Accountable for delivery of high quality work on time and on budget.

Applies computer and research skills to understand financial performance, talent management trends, and pay practices and policies for a particular client and within the broader marketplace.

Reviews Excel exhibits in PowerPoint presentations and initial conclusions prepared by analysts. Review financial and compensation data analyses prepared by analysts, ensuring it is accurately calculating desired information. Oversee the development of methodology by analysts and manage small to medium engagements.

Provides guidance to project team analysts and ensures timely delivery of work and achievement of project objectives.

Typically manages smaller projects and workstreams of larger client projects. May lead additional internal projects as needed and participates in business development by supporting project plan development and pricing.

Serve as a day-to-day client contact for project areas including methodology, data requests and data management.

Act as a liaison between the Mercer project team and the client secondary contact (i.e., compensation analyst). Participate in meetings with clients, including fact-finding interviews and presentations.

Uses Mercer’s proprietary tools (e.g., Global Disclosure Database which houses info compiled from public filings from many organizations across multiple industries; PayMonitor which is the delivery tool for Mercer surveys globally, including both compensation and total reward surveys, used to query, view and export survey statistics for actual and regressed market data, and to generate custom survey reports) and public filings to gather pay practices and policies. May also research other sources to solicit industry knowledge, company news, competitor reports on high level/ industry trends, etc.

Develops and reviews peer groups - lists of organizations against which the client organization is compared (e.g., based on revenue, brand, industry, etc.) and/or are the client’s direct competitors.

For U.S. colleagues only, click here to review additional responsibilities and our reasonable accommodations standards.

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.

Marsh offers hybrid working arrangements that provide both the flexibility of mobile working and the benefits for collaboration, personal connections and professional development of working in the office. Employees are authorized to work remotely. If needed, some teams also schedule weekly “anchor days” where the entire team meets in person at the site office.

How we rate this

Compensation Consultant at Marsh McLennan rates 35 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.