AIG Data Analyst Interview Questions + Guide in 2025

AIG is a leading global insurance organization that provides a wide range of property casualty insurance solutions across approximately 70 countries.

The Data Analyst role at AIG is crucial for supporting the regulatory reporting and analytical needs of the organization. In this position, you will be responsible for analyzing complex datasets, generating actionable insights, and ensuring compliance with regulatory requirements. Key responsibilities include communicating with regulatory bodies, managing data quality, and implementing changes to improve reporting processes. A successful candidate will possess strong analytical and problem-solving skills, proficiency in SQL and Excel, and exceptional communication abilities. Experience in insurance or financial sectors, as well as a proactive approach to data management, will be beneficial. This role aligns with AIG's commitment to innovation and excellence in delivering insurance solutions, making a candidate who embodies these values particularly well-suited for the position.

This guide will serve as a valuable resource to help you understand the expectations of the role and prepare effectively for your upcoming interview at AIG.

The interview process for a Data Analyst position at AIG is structured to assess both technical and interpersonal skills, ensuring candidates are well-suited for the role and the company culture. The process typically consists of several rounds, each designed to evaluate different competencies.

1. Initial Contact

The process often begins with an initial contact from a recruiter, which may occur via email or phone. This conversation typically lasts around 30 minutes and focuses on your resume, past experiences, and general fit for the company. The recruiter may also provide insights into the role and the company culture, as well as any preparatory materials to help you get ready for subsequent interviews.

2. Technical Assessment

Following the initial contact, candidates usually undergo a technical assessment. This may take the form of a written test or a technical interview, where you will be asked to demonstrate your proficiency in data analysis tools such as SQL and Excel. Expect questions that assess your understanding of statistical concepts, data manipulation, and reporting techniques. You may also be asked to solve practical problems or analyze datasets to showcase your analytical skills.

3. Behavioral Interviews

Candidates typically participate in one or more behavioral interviews, which are designed to evaluate your soft skills and cultural fit within AIG. These interviews often involve situational questions that explore how you handle teamwork, adversity, and problem-solving. Interviewers may ask you to provide examples from your past experiences that demonstrate your communication skills, ability to work under pressure, and adaptability in a fast-paced environment.

4. Final Interview

The final stage of the interview process usually involves a meeting with the hiring manager or a senior team member. This interview may cover both technical and behavioral aspects, with a focus on your potential contributions to the team and the organization. You may be asked to discuss your understanding of the insurance industry, regulatory reporting, and how you can leverage your analytical skills to drive improvements within the company.

5. Offer and Onboarding

If you successfully navigate the interview rounds, you may receive a job offer. The onboarding process will follow, where you will be introduced to the team, company policies, and your specific role within AIG.

As you prepare for your interviews, it's essential to familiarize yourself with the types of questions that may be asked during the process.

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

Understand the Role and Its Requirements

Before your interview, take the time to thoroughly understand the responsibilities and expectations of a Data Analyst at AIG. Familiarize yourself with regulatory reporting, data quality issues, and the analytical skills required for the role. This will not only help you answer questions more effectively but also demonstrate your genuine interest in the position.

Prepare for Behavioral Questions

AIG places a strong emphasis on behavioral questions during interviews. Be ready to discuss your working style in a team, how you handle adversity, and your approach to problem-solving. Use the STAR (Situation, Task, Action, Result) method to structure your responses, ensuring you provide clear and concise examples from your past experiences.

Brush Up on Technical Skills

Given the technical nature of the role, ensure you are proficient in SQL, Excel, and any relevant BI tools. Be prepared to answer questions about data retrieval, manipulation, and analysis. Review key statistical concepts and be ready to discuss how you would validate models and interpret data. Practice common SQL queries and Excel functions that are relevant to data analysis.

Communicate Clearly and Effectively

Strong verbal and written communication skills are essential for a Data Analyst at AIG. During the interview, focus on articulating your thoughts clearly and concisely. Be prepared to explain complex data concepts in a way that is understandable to non-technical stakeholders, as this will be a crucial part of your role.

Show Your Problem-Solving Skills

AIG values candidates who can think critically and solve problems effectively. Be prepared to discuss specific examples of how you have identified issues, analyzed data, and implemented solutions in previous roles. Highlight your ability to streamline processes and improve workflows, as this aligns with the company's focus on efficiency.

Emphasize Cultural Fit

AIG is committed to fostering a culture of inclusion and belonging. During your interview, demonstrate your understanding of the company's values and how you align with them. Share experiences that showcase your ability to work collaboratively in diverse teams and your commitment to continuous learning and development.

Follow Up with Questions

At the end of the interview, take the opportunity to ask insightful questions about the team, the projects you would be working on, and the company culture. This not only shows your interest in the role but also helps you assess if AIG is the right fit for you.

By preparing thoroughly and approaching the interview with confidence, you can position yourself as a strong candidate for the Data Analyst role at AIG. Good luck!

In this section, we’ll review the various interview questions that might be asked during a Data Analyst interview at AIG. The interview process will likely assess your technical skills, analytical thinking, and ability to communicate effectively. Be prepared to discuss your past experiences, problem-solving approaches, and how you handle data-related challenges.

Technical Skills

1. Can you explain the difference between R² and adjusted R²?

Understanding the nuances of these statistical measures is crucial for data analysis.

How to Answer

Discuss how R² measures the proportion of variance explained by the model, while adjusted R² accounts for the number of predictors in the model, providing a more accurate measure when comparing models with different numbers of predictors.

Example

“R² indicates how well the independent variables explain the variability of the dependent variable. However, adjusted R² adjusts for the number of predictors, which is particularly useful when comparing models with different numbers of predictors, as it prevents overfitting.”

2. How do you validate a statistical model?

Validation is key to ensuring the reliability of your model's predictions.

How to Answer

Mention techniques such as cross-validation, checking p-values, confidence intervals, and assessing residuals to ensure the model's accuracy and reliability.

Example

“I validate a statistical model by using cross-validation techniques to assess its performance on unseen data. Additionally, I check p-values and confidence intervals to ensure the predictors are statistically significant and analyze residuals to confirm that they are randomly distributed.”

3. Describe your experience with SQL. How do you retrieve data?

SQL proficiency is essential for data manipulation and retrieval.

How to Answer

Discuss your experience with SQL queries, including joins, subqueries, and aggregations, and how you use them to extract meaningful insights from databases.

Example

“I have extensive experience with SQL, using it to write complex queries that involve multiple joins and aggregations. For instance, I often use INNER JOIN to combine data from different tables and GROUP BY to summarize results, which helps in generating comprehensive reports.”

4. What methods do you use to ensure data quality?

Data quality is critical in analytics, and interviewers will want to know your approach.

How to Answer

Talk about techniques such as data cleaning, validation checks, and regular audits to maintain high data quality standards.

Example

“To ensure data quality, I implement data cleaning processes to remove duplicates and correct inconsistencies. I also perform validation checks and conduct regular audits to identify and rectify any data quality issues proactively.”

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

Communication skills are vital for a Data Analyst role.

How to Answer

Share an experience where you simplified complex data insights for a non-technical audience, focusing on clarity and relevance.

Example

“I once presented a data analysis report to the marketing team, where I simplified complex statistical findings into visual charts and straightforward language. This approach helped them understand the implications of the data on their campaigns, leading to more informed decision-making.”

Behavioral Questions

1. How do you handle adversity in the workplace?

Your ability to navigate challenges is important in a fast-paced environment.

How to Answer

Provide an example of a challenging situation and how you overcame it, emphasizing resilience and problem-solving skills.

Example

“When faced with a tight deadline for a critical report, I prioritized tasks and communicated with my team to delegate responsibilities. By staying organized and focused, we completed the project on time, which was well-received by management.”

2. Describe a time when you worked in a team. What was your role?

Teamwork is essential in collaborative environments like AIG.

How to Answer

Discuss your role in a team project, highlighting your contributions and how you supported your teammates.

Example

“In a recent project, I served as the data lead, where I was responsible for analyzing data trends and presenting findings. I collaborated closely with team members from different departments, ensuring that our insights aligned with their objectives and facilitated a successful outcome.”

3. What is your working style in a team?

Understanding your collaboration style can help assess cultural fit.

How to Answer

Describe your approach to teamwork, including communication, flexibility, and support for others.

Example

“I thrive in collaborative environments and believe in open communication. I actively seek input from team members and am flexible in adapting my working style to meet the team's needs, ensuring that everyone feels valued and included.”

4. Tell me about a time you had to analyze a large dataset. What tools did you use?

This question assesses your technical skills and experience with data analysis.

How to Answer

Share a specific project where you analyzed a large dataset, mentioning the tools and techniques you used.

Example

“I worked on a project analyzing customer feedback data from various sources. I used SQL for data extraction and Excel for data manipulation and visualization. This analysis helped identify key trends that informed our product development strategy.”

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

Time management is crucial for a Data Analyst role.

How to Answer

Discuss your approach to prioritization, including tools or methods you use to stay organized.

Example

“I prioritize tasks based on deadlines and project impact. I use project management tools to track progress and ensure that I allocate time effectively, allowing me to meet deadlines while maintaining high-quality work.”