Brown & Brown Insurance Data Analyst Interview Questions + Guide in 2025

Brown & Brown Insurance is a leading global insurance brokerage firm dedicated to delivering innovative risk management solutions and services since 1939.

The Data Analyst role at Brown & Brown Insurance is integral to harnessing data to drive insights into risk management and insurance operations. This position entails crucial responsibilities such as performing risk analysis studies, analyzing claims data, and collaborating with account teams to enhance client relationships. A successful Data Analyst will demonstrate strong analytical skills, proficiency in statistics and SQL, and a solid understanding of business office practices. Moreover, the role requires excellent interpersonal skills, the ability to manage time effectively, and a commitment to maintaining confidentiality and professionalism.

This guide will prepare you for your interview by highlighting the skills and competencies that Brown & Brown Insurance values in a Data Analyst, ensuring you can present your qualifications confidently and effectively.

The interview process for a Data Analyst position at Brown & Brown Insurance is structured to assess both technical skills and cultural fit within the company. Candidates can expect a series of interviews that focus on their analytical capabilities, problem-solving skills, and interpersonal communication.

1. Initial Screening

The process typically begins with an initial screening interview, which is often conducted by a recruiter. This conversation lasts about 30 minutes and serves to gauge the candidate's interest in the role and the company. The recruiter will ask about your background, relevant experiences, and motivations for applying. This is also an opportunity for candidates to ask questions about the company culture and the specifics of the role.

2. Technical Interview

Following the initial screening, candidates will usually participate in a technical interview. This may be conducted via video call or in person and focuses on the candidate's analytical skills. Expect questions that assess your understanding of data analysis, risk assessment, and the ability to interpret and manipulate data. You may be asked to discuss past projects or experiences where you utilized your analytical skills to solve problems or improve processes.

3. Behavioral Interview

The next step often involves a behavioral interview, where candidates meet with hiring managers or team members. This round typically includes a series of questions designed to evaluate how you handle various work situations, your teamwork abilities, and your customer service skills. Candidates should be prepared to discuss their strengths, weaknesses, and how they manage time and priorities in a fast-paced environment.

4. Final Interview

In some cases, there may be a final interview with senior management or executives. This round is less common but can occur for candidates who are being seriously considered for the role. The focus here is on cultural fit and alignment with the company's values. Expect questions that explore your long-term career goals and how you envision contributing to the team and the organization as a whole.

5. Offer and Negotiation

If you successfully navigate the interview rounds, you may receive a job offer. During this stage, there may be discussions regarding salary expectations and benefits. Candidates should come prepared with research on industry standards and be ready to negotiate based on their qualifications and experience.

As you prepare for your interviews, consider the types of questions that may arise in each of these stages.

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

Emphasize Your Analytical Skills

As a Data Analyst at Brown & Brown Insurance, your ability to analyze data effectively is crucial. Be prepared to discuss your experience with statistical analysis, probability, and data interpretation. Highlight specific projects where you utilized these skills to drive business decisions or improve processes. Demonstrating your analytical mindset will resonate well with the interviewers, who value data-driven insights.

Showcase Your Communication Abilities

Given the customer-facing nature of the role, strong communication skills are essential. Prepare to discuss how you have effectively communicated complex data findings to non-technical stakeholders in the past. Use examples that illustrate your ability to tailor your message to different audiences, whether through presentations, reports, or one-on-one discussions. This will show that you can bridge the gap between data analysis and actionable business strategies.

Understand the Company Culture

Brown & Brown prides itself on a meritocratic culture that rewards self-starters and emphasizes customer commitment. Familiarize yourself with the company's values and be ready to discuss how your personal values align with theirs. Share examples of how you have demonstrated initiative and a customer-first approach in your previous roles. This alignment will help you stand out as a candidate who fits well within their team.

Prepare for Behavioral Questions

Expect a variety of behavioral questions that assess your problem-solving abilities and how you handle pressure. Use the STAR (Situation, Task, Action, Result) method to structure your responses. For instance, you might be asked about a time you had to manage multiple deadlines or how you handled a challenging client request. Prepare specific examples that showcase your ability to stay organized and focused under pressure.

Be Ready to Discuss Your Technical Proficiency

While the role may not require advanced programming skills, familiarity with SQL and data analysis tools is beneficial. Be prepared to discuss your experience with these tools and how you have used them to extract insights from data. If you have experience with Excel, Power BI, or other reporting tools, be sure to highlight that as well. This technical knowledge will demonstrate your readiness to contribute to the team from day one.

Ask Insightful Questions

At the end of the interview, you will likely have the opportunity to ask questions. Use this time to inquire about the team dynamics, ongoing projects, or how success is measured in the role. Asking thoughtful questions not only shows your interest in the position but also helps you gauge if the company is the right fit for you.

Follow Up with Gratitude

After the interview, send a thank-you email to express your appreciation for the opportunity to interview. Reiterate your enthusiasm for the role and briefly mention a key point from the conversation that resonated with you. This small gesture can leave a positive impression and keep you top of mind as they make their decision.

By following these tips, you will be well-prepared to showcase your skills and fit for the Data Analyst role at Brown & Brown Insurance. Good luck!

In this section, we’ll review the various interview questions that might be asked during a Data Analyst interview at Brown & Brown Insurance. The interview process will likely focus on your analytical skills, understanding of risk management, and ability to communicate effectively with clients and team members. Be prepared to discuss your previous experiences, problem-solving abilities, and how you can contribute to the company's goals.

Experience and Background

1. What experience do you have that makes you a good fit for this role?

This question aims to assess your relevant background and how it aligns with the responsibilities of a Data Analyst at Brown & Brown.

How to Answer

Highlight your previous roles, focusing on specific experiences that relate to data analysis, risk management, or client interaction. Emphasize any relevant projects or achievements.

Example

“I have over two years of experience as a data analyst in the insurance sector, where I conducted risk assessments and analyzed claims data to support renewal discussions. My work involved collaborating with account teams to ensure accurate policy documentation and providing insights that helped reduce client losses.”

2. How would you manage a project over a timeline?

This question evaluates your project management skills and ability to prioritize tasks effectively.

How to Answer

Discuss your approach to project management, including how you set timelines, allocate resources, and communicate with stakeholders. Provide an example of a project you successfully managed.

Example

“I typically start by breaking down the project into smaller tasks and setting clear deadlines for each. For instance, in my last role, I managed a project that required data collection and analysis for a major client. I created a timeline that included regular check-ins with the team to ensure we stayed on track and met our deadlines.”

Analytical Skills

3. Can you explain a complex data analysis project you worked on?

This question assesses your analytical skills and ability to communicate complex information clearly.

How to Answer

Choose a project that showcases your analytical abilities, detailing the methods you used and the outcomes achieved. Focus on your role in the project and the impact of your analysis.

Example

“I worked on a project where we analyzed claims data to identify trends in loss occurrences. I utilized statistical methods to forecast potential losses and presented my findings to the account team, which helped them adjust their strategies for client renewals, ultimately leading to a 15% reduction in claims.”

4. How do you ensure the accuracy of your data analysis?

This question evaluates your attention to detail and commitment to data integrity.

How to Answer

Discuss the steps you take to verify data accuracy, such as cross-referencing data sources, conducting audits, or using software tools for validation.

Example

“I always start by cross-referencing data from multiple sources to ensure consistency. Additionally, I perform regular audits of my datasets and use validation techniques to catch any discrepancies before finalizing my analysis.”

Communication and Interpersonal Skills

5. How do you handle communication with clients who may not understand technical jargon?

This question assesses your ability to communicate effectively with non-technical stakeholders.

How to Answer

Explain your approach to simplifying complex information and ensuring that clients understand the analysis and its implications.

Example

“I focus on using clear, straightforward language and analogies that relate to the client’s industry. For instance, when explaining risk analysis results, I might compare it to familiar concepts in their business to make the data more relatable and actionable.”

6. What type of work environment do you thrive in?

This question helps the interviewer understand your preferred work style and how it fits with the company culture.

How to Answer

Describe the type of environment where you feel most productive and engaged, and relate it to the collaborative culture at Brown & Brown.

Example

“I thrive in collaborative environments where team members support each other and share ideas. I believe that working closely with colleagues enhances creativity and leads to better outcomes, which aligns well with Brown & Brown’s emphasis on teamwork and customer focus.”

Problem-Solving

7. Describe a time when you faced a significant challenge in your analysis. How did you overcome it?

This question evaluates your problem-solving skills and resilience.

How to Answer

Share a specific challenge you encountered, the steps you took to address it, and the outcome of your efforts.

Example

“During a project, I discovered that the data I was analyzing had significant gaps. I quickly reached out to the data providers to understand the issue and worked with my team to fill in the missing information. This proactive approach allowed us to complete the analysis on time and deliver valuable insights to the client.”

8. If you had to give a Ted Talk, what would it be on?

This question assesses your passion and ability to communicate ideas effectively.

How to Answer

Choose a topic related to data analysis, risk management, or a personal interest that showcases your expertise and enthusiasm.

Example

“I would give a Ted Talk on the importance of data-driven decision-making in risk management. I believe that leveraging data can significantly enhance how businesses approach risk, and I would share insights from my experiences to illustrate this point.”