Fm Global Business Intelligence Interview Questions + Guide in 2025

Fm Global is a leading property insurer that provides engineering-based risk management and insurance solutions for some of the world's largest businesses.

The Business Intelligence role at Fm Global is integral to the Data Analytics team, tasked with transforming raw data into actionable insights that empower leaders to make informed business decisions. Key responsibilities include designing, developing, and maintaining reporting and analytical solutions, leveraging tools such as SQL, Power BI, and Excel. A successful candidate will be proficient in data extraction and transformation from various relational databases, and skilled in delivering analyses through reports, visualizations, or narratives that convey meaningful insights to business partners. Ideal traits for this role include a strong foundation in data literacy, quick learning capability, teamwork, and a problem-solving mindset. This role aligns with Fm Global's commitment to innovation and excellence in risk management, and it plays a crucial part in enhancing decision-making processes within the organization.

This guide will help you prepare for your interview by equipping you with the insights needed to showcase your qualifications and fit for the Business Intelligence role at Fm Global.

The interview process for the Business Intelligence role at FM Global is structured to assess both technical skills and cultural fit within the organization. Here’s what you can expect:

1. Initial Screening

The process begins with an initial screening, typically conducted via a phone call with a recruiter. This conversation lasts about 30 minutes and focuses on your background, skills, and motivations for applying to FM Global. The recruiter will also provide insights into the company culture and the specifics of the Business Intelligence team, ensuring that you understand the expectations and responsibilities of the role.

2. Technical Assessment

Following the initial screening, candidates will undergo a technical assessment, which may be conducted through a video call. This assessment is designed to evaluate your proficiency in data analytics tools and techniques relevant to the role. Expect to demonstrate your knowledge of SQL, data visualization software like Power BI, and your ability to analyze and interpret data. You may be asked to solve a case study or work through a practical problem that reflects the types of challenges you would face in the position.

3. Behavioral Interview

After successfully completing the technical assessment, candidates will participate in a behavioral interview. This round typically involves one-on-one discussions with team members or managers. The focus here is on understanding how you approach problem-solving, collaborate with others, and fit into the company culture. Be prepared to share examples from your past experiences that highlight your analytical skills, teamwork, and adaptability.

4. Final Interview

The final interview stage may include a panel interview or a series of one-on-one interviews with senior leaders or stakeholders from the Business Intelligence team. This round aims to assess your strategic thinking and how you can contribute to the organization’s goals. You may be asked to present a project or analysis you have worked on, showcasing your ability to communicate insights effectively and your understanding of business needs.

As you prepare for these interviews, it’s essential to familiarize yourself with the types of questions that may be asked, which will be covered in the next section.

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

Understand FM Global's Business Model

Familiarize yourself with FM Global's unique position in the insurance industry, particularly its focus on engineering-based risk management. Understanding how the company supports large businesses with tailored solutions will allow you to align your skills and experiences with their mission. Be prepared to discuss how your analytical skills can contribute to their goal of helping clients maintain business continuity.

Emphasize Data Literacy and Technical Skills

Given the emphasis on data extraction and transformation, ensure you can confidently discuss your proficiency in SQL, Power BI, and Excel. Be ready to provide examples of how you've used these tools in past projects to derive insights or solve business problems. Highlight any experience you have with data visualization and storytelling, as these are crucial for conveying complex data in an understandable manner.

Showcase Problem-Solving Abilities

FM Global values employees who can identify business problems and create effective solutions. Prepare to discuss specific instances where you have successfully tackled challenges using data analytics. Use the STAR (Situation, Task, Action, Result) method to structure your responses, ensuring you clearly articulate your thought process and the impact of your solutions.

Prepare for Collaborative Scenarios

Collaboration is key in FM Global's diverse work environment. Be ready to discuss how you have worked in teams to achieve common goals. Highlight your ability to share ideas and learn from others, as well as any experiences where you contributed to a team project that led to significant insights or improvements.

Align with Company Culture

FM Global prides itself on a dynamic and culturally diverse workforce. Research the company culture and values, and think about how your personal values align with theirs. Be prepared to discuss how you can contribute to a positive team environment and support diversity and inclusion initiatives within the organization.

Practice Communication Skills

As a Business Intelligence professional, your ability to communicate insights effectively is crucial. Practice explaining complex data concepts in simple terms, as you may need to present your findings to non-technical stakeholders. Consider preparing a brief presentation or narrative based on a data analysis project you've completed, showcasing your ability to tell a compelling story with data.

Stay Curious and Open to Learning

FM Global seeks individuals who are eager to learn and grow. During the interview, express your enthusiasm for continuous learning and professional development. Share examples of how you've pursued new knowledge or skills in the past, and discuss how you plan to stay updated with industry trends and advancements in data analytics.

By following these tips and preparing thoroughly, you'll position yourself as a strong candidate for the Business Intelligence role at FM Global. Good luck!

FM Global Business Intelligence Interview Questions

In this section, we’ll review the various interview questions that might be asked during an interview for a Business Intelligence role at FM Global. The interview will focus on your ability to extract insights from data, develop reporting solutions, and communicate findings effectively. Familiarize yourself with data analytics concepts, SQL, data visualization tools, and problem-solving methodologies.

Technical Skills

1. Can you explain the process you follow to extract and transform data from a relational database?

Understanding the ETL (Extract, Transform, Load) process is crucial for this role, as it forms the backbone of data analysis.

How to Answer

Discuss your experience with ETL processes, emphasizing the tools you’ve used and the steps you take to ensure data integrity and accuracy.

Example

“I typically start by identifying the data sources and understanding the schema. I then use SQL to extract the necessary data, followed by transforming it using tools like Power Query to clean and format the data for analysis. Finally, I load the data into a reporting tool for visualization.”

2. What data visualization tools are you familiar with, and how have you used them in past projects?

This question assesses your practical experience with data visualization, which is essential for conveying insights.

How to Answer

Mention specific tools you’ve used, the types of visualizations you created, and how they helped stakeholders understand the data.

Example

“I have experience using Power BI and Tableau. In a recent project, I created interactive dashboards that allowed stakeholders to explore key performance indicators in real-time, which significantly improved decision-making processes.”

3. Describe a challenging data analysis problem you faced and how you resolved it.

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

How to Answer

Outline the problem, the steps you took to analyze it, and the outcome of your efforts.

Example

“I encountered a situation where the data from multiple sources was inconsistent. I conducted a thorough data quality assessment, identified discrepancies, and collaborated with the data engineering team to standardize the data formats. This led to more reliable insights for our business partners.”

4. How do you ensure the accuracy and reliability of your data analyses?

Accuracy is paramount in data analytics, and this question probes your methods for maintaining data integrity.

How to Answer

Discuss your approach to data validation, testing, and the tools you use to ensure accuracy.

Example

“I implement a multi-step validation process, including cross-referencing data with original sources and using automated scripts to check for anomalies. Additionally, I conduct peer reviews of my analyses to catch any potential errors.”

5. Can you explain a time when you identified a new business insight from data?

This question assesses your ability to derive actionable insights from data analysis.

How to Answer

Share a specific example where your analysis led to a significant business decision or improvement.

Example

“While analyzing customer feedback data, I noticed a recurring theme regarding product delivery times. I presented this insight to the management team, which led to a strategic initiative to streamline our logistics process, ultimately improving customer satisfaction scores.”

Business Acumen

1. How do you prioritize your tasks when working on multiple data projects?

This question evaluates your time management and prioritization skills.

How to Answer

Explain your approach to managing competing deadlines and how you determine which projects to focus on first.

Example

“I prioritize tasks based on their impact on business objectives and deadlines. I use project management tools to track progress and communicate with stakeholders to ensure alignment on priorities.”

2. Describe a time when you had to communicate complex data findings to a non-technical audience.

This question assesses your communication skills and ability to tailor your message to different audiences.

How to Answer

Discuss your approach to simplifying complex information and ensuring understanding among non-technical stakeholders.

Example

“I once presented a detailed analysis of market trends to the marketing team. I focused on key takeaways and used visual aids to illustrate the data, ensuring that I avoided technical jargon. This approach helped the team grasp the insights quickly and apply them to their strategy.”

3. What strategies do you use to identify opportunities for new business insights?

This question probes your analytical thinking and proactive approach to data analysis.

How to Answer

Share your methods for exploring data and identifying trends or patterns that could lead to new insights.

Example

“I regularly conduct exploratory data analysis to uncover hidden patterns. I also stay updated on industry trends and engage with business units to understand their challenges, which helps me identify areas where data can provide valuable insights.”

4. How do you handle feedback on your data reports or analyses?

This question evaluates your receptiveness to feedback and your ability to improve your work.

How to Answer

Discuss your approach to receiving feedback and how you incorporate it into your work.

Example

“I view feedback as an opportunity for growth. I actively seek input from colleagues and stakeholders, and I take their suggestions seriously. For instance, after receiving feedback on a report’s clarity, I revised my approach to include more visual elements, which improved overall comprehension.”

5. Can you give an example of how you’ve used data to influence a business decision?

This question assesses your ability to leverage data for strategic decision-making.

How to Answer

Provide a specific example where your data analysis directly impacted a business decision.

Example

“During a quarterly review, I presented data showing a decline in customer retention rates. My analysis highlighted specific customer segments that were at risk. This prompted the leadership team to implement targeted retention strategies, which ultimately improved our retention rates by 15% in the following quarter.”