Marsh Data Analyst Interview Questions + Guide in 2025

Marsh is a global leader in helping clients realize their investment objectives, shape the future of work, and enhance health and retirement outcomes for their people.

As a Data Analyst at Marsh, you will play a crucial role in supporting data-driven decision-making across various teams. Key responsibilities include analyzing and interpreting data, managing client-related activities, assisting market consultants with data collection and validation, and maintaining internal databases. You will need to possess strong analytical skills, attention to detail, and the ability to communicate findings effectively. A background in HR is advantageous, as you may work closely with HR teams, and your capacity to thrive in a dynamic and collaborative environment will be essential.

This guide is designed to help you prepare for your interview by highlighting the skills and attributes that align with Marsh's values and business processes, ensuring you can articulate your fit for the role with confidence.

The interview process for a Data Analyst position at Marsh is structured to assess both technical skills and cultural fit within the organization. It typically consists of several key stages:

1. Initial Phone Screening

The process begins with a phone screening conducted by an HR representative. This initial conversation lasts about 30 minutes and focuses on your background, experience, and motivation for applying to Marsh. The recruiter will also provide insights into the company culture and the specifics of the Data Analyst role, ensuring that you have a clear understanding of what to expect.

2. Face-to-Face Interview

Following the phone screening, candidates are invited for a face-to-face interview with the hiring manager and potentially other team members. This interview is more in-depth and includes discussions about your professional experience, relevant skills, and behavioral questions. You may be asked to elaborate on your past projects and how they relate to the responsibilities of the Data Analyst role. This stage is crucial for assessing your interpersonal skills and how well you align with the team dynamics.

3. Technical Interview

After the face-to-face interview, candidates typically undergo a technical interview. This session may involve practical assessments where you might be asked to demonstrate your analytical skills, such as working with data sets or solving specific problems relevant to the role. Expect questions that test your understanding of data analysis tools and methodologies, as well as your ability to manipulate and interpret data effectively.

4. Final Interview

In some cases, there may be a final interview round, which could involve additional team members or stakeholders. This stage often focuses on your long-term career goals and how they align with the company's objectives. It’s an opportunity for both you and the interviewers to evaluate if there’s a mutual fit for the role and the organization.

As you prepare for your interviews, it’s essential to be ready for a variety of questions that will help the interviewers gauge your technical expertise and cultural fit.

In this section, we’ll review the various interview questions that might be asked during a Data Analyst interview at Marsh. The interview process will likely assess your technical skills, problem-solving abilities, and cultural fit within the organization. Be prepared to discuss your past experiences, your approach to data analysis, and how you can contribute to the team.

Experience and Background

1. Can you describe a challenging project you worked on and how you managed it?

This question aims to understand your problem-solving skills and how you handle difficult situations.

How to Answer

Focus on a specific project, detailing the challenges faced, your approach to overcoming them, and the outcome. Highlight your role and the skills you utilized.

Example

“In my previous role, I was tasked with analyzing a large dataset that had numerous inconsistencies. I organized a team meeting to identify the issues, implemented a systematic approach to clean the data, and ultimately delivered a comprehensive report that improved our decision-making process.”

2. Why do you believe you are a good fit for this role?

This question assesses your self-awareness and understanding of the job requirements.

How to Answer

Discuss your relevant skills and experiences that align with the job description. Emphasize your enthusiasm for the role and the company.

Example

“I believe my background in data analysis, combined with my strong communication skills, makes me a great fit for this role. I have a year of experience working with data in a fast-paced environment, and I am excited about the opportunity to contribute to Marsh’s innovative projects.”

3. What are your long-term career goals, and how does this position align with them?

This question evaluates your career aspirations and commitment to the role.

How to Answer

Articulate your career goals and how this position serves as a stepping stone towards achieving them. Show your interest in growth within the company.

Example

“My long-term goal is to become a senior data analyst, and I see this position as a crucial step in that direction. I am eager to develop my skills further and contribute to impactful projects at Marsh.”

Technical Skills

4. Are you comfortable updating or manipulating code that you did not write?

This question tests your adaptability and willingness to work with existing codebases.

How to Answer

Express your openness to learning and collaborating with others. Highlight any relevant experiences where you had to adapt to existing systems.

Example

“Yes, I am comfortable working with code that I did not write. In my previous role, I often had to update scripts created by others, and I found it to be a valuable learning experience that improved my coding skills.”

5. How do you ensure data accuracy and integrity in your analyses?

This question assesses your attention to detail and understanding of data quality.

How to Answer

Discuss the methods you use to validate data and ensure its accuracy. Mention any tools or processes you employ.

Example

“I ensure data accuracy by implementing a multi-step validation process. I cross-reference data from multiple sources and use automated scripts to identify discrepancies before finalizing any analysis.”

6. Can you explain a time when you had to present data findings to a non-technical audience?

This question evaluates your communication skills and ability to convey complex information clearly.

How to Answer

Share a specific instance where you successfully communicated your findings. Focus on how you tailored your presentation to the audience's level of understanding.

Example

“I once presented a data analysis report to our marketing team, who had limited technical knowledge. I used visual aids and simplified the terminology to ensure they understood the key insights, which helped them make informed decisions for their campaigns.”

Behavioral Questions

7. Describe a situation where you had to work under pressure. How did you handle it?

This question assesses your ability to perform in high-stress situations.

How to Answer

Provide an example of a high-pressure situation, detailing your approach to managing stress and ensuring successful outcomes.

Example

“During a critical project deadline, I faced unexpected data discrepancies. I prioritized tasks, communicated with my team to delegate responsibilities, and worked late to ensure we met the deadline without compromising quality.”

8. How do you handle feedback and criticism?

This question evaluates your receptiveness to feedback and your ability to grow from it.

How to Answer

Discuss your perspective on feedback and provide an example of how you’ve used it to improve your work.

Example

“I view feedback as an opportunity for growth. In my last role, I received constructive criticism on my presentation style. I took a public speaking course and practiced regularly, which significantly improved my delivery in subsequent presentations.”