Salary
≈ $59k – $110k per year (Estimated)
Location
Hybrid (Louisville, United States)
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 31, 2026. First seen by Alion on Oct 28, 2026. Marsh McLennan scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Marsh McLennan is a global professional services firm in risk, strategy and people, headquartered in New York and listed on the New York Stock Exchange. It operates through four businesses, Marsh in insurance broking, Guy Carpenter in reinsurance, Mercer in health, wealth and benefits consulting and Oliver Wyman in management consulting, with about 90,000 colleagues in some 130 countries. It hires catastrophe risk analysts, reinsurance brokers, benefits consultants, sales executives, paralegals, software engineers and IT support staff in hubs such as London, Cluj-Napoca and Mexico City.
Company:
MarshDescription:
At Mercer, we make a difference in the lives of more than 110 million people every day by advancing their health, wealth, and careers. We’re in the business of creating more secure and rewarding futures for our clients and their employees-whether we’re designing affordable health plans, assuring income for retirement, or aligning workers with workforce needs.
Mercer is seeking candidates for the following position:
Data Analyst
What can you expect?
- You will be responsible for day-to-day compensation data analysis for Mercer’s survey clients.
- You will support activities related to survey participation, job matching/benchmarking (explain methodology and assist in matching some positions for the client as examples), data submission validation, accessing and interpreting our data, and working with colleagues on client participation needs.
- You will be responsible for maintaining the integrity of data as well as contributing to client-related activities such as webcasts and results meetings.
What is in it for you?
- Work for a global company with excellent benefits and a dynamic culture.
- Team environment with the opportunity to collaborate and also make decisions on your own.
- Ability to make an immediate impact.
- A company with a strong brand and strong results to match.
- Culture of internal mobility, collaboration, and valued partnership with HR from the business.
- Competitive pay and full benefits package, including medical, dental, vision, life insurance, generous 401(k) match, and automatic contribution.
- Generous parental leave and tuition reimbursement plan per year, as well as participation in our Employee Stock Purchase Plan.
- Generous paid time off for vacation and sick time, company holidays, and time to give back to your community.
- Employee Resource Groups, which provide access to leaders, relevant volunteer and mentoring opportunities, and interactions with counterparts in industry groups and client organizations.
We will count on you to:
- Complete verification and validation of compensation data, submissions, and data validation files. Assist clients with job matching for submission purposes. Increase the quality of client data submissions and increase the clients’ understanding of Mercer survey processes and analysis.
- Identify and review statistical anomalies and outliers in aggregated databases. Research client job structure and organization details to facilitate data analysis. Communicate conclusions from data analysis with product stakeholders. Support internal/external client data inquiries.
- Create client presentations and lead discussions around data results. May travel to attend client meetings within the United States or Canada.
- Raise process improvement ideas/innovation to management and support the team’s innovation initiatives.
What you need to have:
- Bachelor’s degree.
- 0-2 years of professional experience, preferably in data review and analysis.
- Proficiency with Microsoft Excel.
- Excellent communication skills, both verbal and written.
- Strong analytical, critical-thinking, and problem-solving skills.
What makes you stand out:
- Ability to learn a wide range of daily tasks and projects.
- Ability to adapt quickly to change.
- Willingness and openness to learn.
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