Data Analyst

Marsh McLennan is hiring a Data Analyst. Level rates it ; you can apply on Marsh McLennan.

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Level rates this data analyst role Little AI ●○○○: aI is not part of the work.
Level classifies it as a junior role.
Level lists 632 other open roles at Marsh McLennan.
The role was posted in the last few days.

AI in this role

Company:

Marsh

Description:

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.

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 embracing 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, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@marsh.com.

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

Data Analyst at Marsh McLennan rates 37 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.