Marsh & McLennan Companies Data Analyst Interview Questions + Guide in 2025

Marsh & McLennan Companies is a global leader in insurance brokerage and risk management, providing comprehensive solutions to clients across various sectors.

As a Data Analyst at Marsh & McLennan Companies, you will play a pivotal role in driving data-driven decision-making for the organization. Your key responsibilities will include gathering and analyzing complex datasets, conducting actuarial and quantitative analyses, and preparing detailed reports that highlight trends and insights relevant to client health and welfare programs. You will collaborate closely with client teams, utilizing tools like Excel and SAS to perform data analysis and cost projections that influence strategic decisions.

To excel in this position, you should possess a strong foundation in analytical skills, exceptional attention to detail, and the ability to communicate findings effectively. A background in employee benefit plans or healthcare analytics, along with experience in project management, will set you apart as a candidate. Additionally, being a proactive problem solver and a skilled relationship builder will align well with the company's culture of collaboration and customer focus.

This guide is designed to help you prepare thoroughly for your interview, equipping you with the knowledge and insights needed to stand out as a strong candidate for the Data Analyst role at Marsh & McLennan Companies.

The interview process for a Data Analyst position at Marsh & McLennan Companies is structured and typically consists of multiple rounds, focusing on both technical and interpersonal skills.

1. Initial Screening

The process begins with an initial screening, which is often conducted by a recruiter. This step usually involves a phone call where the recruiter assesses your background, skills, and motivations for applying. They may also provide insights into the company culture and the specifics of the Data Analyst role. This is a crucial opportunity for you to demonstrate your enthusiasm and fit for the company.

2. Technical Interview

Following the initial screening, candidates typically undergo a technical interview. This round may involve one or two interviews with hiring managers or team leads, focusing on your analytical skills and technical knowledge. Expect questions related to data analysis tools, statistical methods, and possibly a coding or case study component where you will be asked to solve a problem or analyze a dataset. This is your chance to showcase your proficiency in tools like Excel, SQL, or any relevant software mentioned in the job description.

3. Case Study Presentation

In some instances, candidates may be required to complete a case study as part of the interview process. After analyzing a given dataset or scenario, you will present your findings and recommendations to the interview panel. This step assesses not only your analytical skills but also your ability to communicate complex information clearly and effectively.

4. Behavioral Interview

The final round often includes a behavioral interview, where you will meet with senior team members or HR representatives. This interview focuses on your past experiences, problem-solving abilities, and how you handle various workplace situations. Be prepared to discuss your previous roles, challenges you've faced, and how you align with the company's values and culture.

Throughout the process, candidates are encouraged to ask questions to demonstrate their interest in the role and the company.

Now that you have an understanding of the interview process, let's delve into the specific questions that may be asked during each stage.

Here are some tips to help you excel in your interview.

Understand the Interview Structure

The interview process at Marsh & McLennan typically consists of three rounds: two technical interviews followed by an HR round. Familiarize yourself with this structure and prepare accordingly. Expect the first two rounds to focus on your technical skills, particularly in data analysis and tools like Excel and SQL. The HR round will likely assess your fit within the company culture and your interpersonal skills.

Prepare for Case Studies

Candidates often report being given case studies to present their solutions. Practice structuring your approach to problem-solving and be ready to articulate your thought process clearly. Use real-world examples from your past experiences to demonstrate your analytical skills and how you can apply them to the challenges faced by Marsh & McLennan.

Emphasize Your Analytical Skills

Given the role's focus on data analysis, be prepared to discuss your experience with data collection, analysis, and reporting. Highlight your proficiency in tools like Excel and any experience with data visualization software. Be ready to explain how you have used data to drive decisions or improve processes in previous roles.

Showcase Your Communication Skills

Strong communication skills are essential for a Data Analyst at Marsh & McLennan, as you will need to present findings to clients and collaborate with various teams. Practice articulating complex data insights in a clear and concise manner. Be prepared to discuss how you have effectively communicated with stakeholders in the past, especially in challenging situations.

Be Ready for Behavioral Questions

Expect behavioral questions that assess your problem-solving abilities and how you handle difficult situations. Use the STAR (Situation, Task, Action, Result) method to structure your responses. Reflect on your past experiences and be ready to share specific examples that demonstrate your skills and adaptability.

Research the Company Culture

Marsh & McLennan prides itself on its inclusive and collaborative culture. Familiarize yourself with the company's values and mission. Be prepared to discuss how your personal values align with the company's culture and how you can contribute to a positive work environment.

Follow Up Promptly

After your interviews, send a thank-you email to express your appreciation for the opportunity to interview. This not only shows your professionalism but also reinforces your interest in the role. Mention specific points from your conversation to make your message more personal and memorable.

By following these tips and preparing thoroughly, you can position yourself as a strong candidate for the Data Analyst role at Marsh & McLennan. Good luck!

In this section, we’ll review the various interview questions that might be asked during a Data Analyst interview at Marsh & McLennan Companies. The interview process will likely assess your analytical skills, technical knowledge, and ability to communicate effectively with stakeholders. Be prepared to discuss your experience with data analysis tools, your understanding of employee benefits, and your approach to problem-solving.

Technical Skills

1. What data analysis tools are you proficient in, and how have you used them in your previous roles?

This question aims to gauge your familiarity with industry-standard tools and your practical experience in using them.

How to Answer

Discuss specific tools you have used, such as Excel, SQL, or any data visualization software. Highlight a project where you effectively utilized these tools to derive insights or solve a problem.

Example

“I am proficient in Excel and SQL, having used them extensively in my previous role to analyze employee health data. For instance, I created complex pivot tables in Excel to summarize claims data, which helped identify trends in healthcare utilization among employees.”

2. Can you explain a time when you had to clean and validate a large dataset?

This question assesses your data management skills and attention to detail.

How to Answer

Describe the process you followed to clean and validate the data, including any specific techniques or tools you used. Emphasize the importance of data accuracy in your analysis.

Example

“In my last position, I was tasked with cleaning a dataset of over 10,000 employee records. I used SQL to identify and remove duplicates and employed Excel functions to validate the accuracy of the data. This ensured that our analysis was based on reliable information, which was crucial for our reporting.”

3. How do you approach data visualization, and what tools do you prefer?

This question evaluates your ability to present data in a clear and impactful way.

How to Answer

Discuss your preferred visualization tools and your approach to creating effective visualizations. Mention how you tailor your visualizations to your audience.

Example

“I prefer using Tableau for data visualization because of its user-friendly interface and powerful capabilities. I focus on creating dashboards that highlight key metrics and trends, ensuring that they are easily interpretable for stakeholders who may not have a technical background.”

4. Describe a challenging data analysis project you worked on. What was your role, and what was the outcome?

This question seeks to understand your problem-solving skills and your ability to work under pressure.

How to Answer

Outline the project, your specific contributions, and the results achieved. Highlight any challenges you faced and how you overcame them.

Example

“I worked on a project analyzing employee health claims to identify cost-saving opportunities. My role involved gathering data from multiple sources and performing a detailed analysis. Despite facing data discrepancies, I collaborated with the IT team to resolve the issues, ultimately presenting findings that led to a 15% reduction in healthcare costs for our client.”

Behavioral Questions

5. How do you prioritize your tasks when managing multiple projects?

This question assesses your organizational and time management skills.

How to Answer

Explain your method for prioritizing tasks, including any tools or techniques you use to stay organized.

Example

“I prioritize my tasks by assessing deadlines and the impact of each project. I use project management software to track progress and ensure that I allocate time effectively. For instance, when managing multiple client reports, I focus on those with the nearest deadlines while also setting aside time for unexpected urgent requests.”

6. How would you handle a situation where a stakeholder has a strong personality and is resistant to your analysis?

This question evaluates your interpersonal skills and ability to navigate challenging conversations.

How to Answer

Discuss your approach to communication and conflict resolution, emphasizing the importance of understanding the stakeholder's perspective.

Example

“I would first listen to the stakeholder’s concerns to understand their perspective. Then, I would present my analysis clearly, using data to support my findings. If they remain resistant, I would seek to find common ground and suggest a collaborative approach to address their concerns while still achieving the project goals.”

7. Why are you interested in working in the insurance industry, specifically with employee health and benefits?

This question aims to assess your motivation and understanding of the industry.

How to Answer

Share your interest in the insurance sector and how it aligns with your career goals. Mention any relevant experiences that sparked your interest.

Example

“I am drawn to the insurance industry because it plays a crucial role in providing security and peace of mind to individuals and organizations. My previous experience in healthcare analytics has given me insight into the importance of employee health benefits, and I am excited about the opportunity to contribute to improving health outcomes through data-driven decisions.”

8. Describe your experience with agile project delivery.

This question assesses your familiarity with agile methodologies and your ability to adapt to changing project requirements.

How to Answer

Discuss your experience working in agile environments, including how you contributed to team dynamics and project outcomes.

Example

“I have worked in agile teams where we held regular stand-ups to discuss progress and challenges. This approach allowed us to adapt quickly to changes and prioritize tasks effectively. For example, during a project to analyze employee engagement data, we adjusted our focus based on stakeholder feedback, which ultimately led to more relevant insights.”