Arthur J. Gallagher & Research Analyst Interview Guide 2026

What is a Research Analyst at Arthur J. Gallagher &?

As a Research Analyst at Arthur J. Gallagher &, you are at the forefront of driving data-informed decisions for one of the world’s largest insurance brokerage and risk management firms. In this role, you are not just crunching numbers; you are translating complex market trends, risk exposures, and industry data into actionable insights. Your work directly empowers brokers, consultants, and leadership teams to deliver highly tailored, competitive solutions to a diverse global client base.

The impact of this position is deeply tied to the company's ability to navigate volatile markets and complex risk landscapes. By synthesizing quantitative data and qualitative market intelligence, you help shape the strategic direction of client portfolios. You will frequently collaborate with cross-functional teams, diving into problem spaces ranging from emerging cyber risks to global employee benefits trends.

Expect a role that demands both rigorous analytical capabilities and exceptional communication skills. The environment at Arthur J. Gallagher & is fast-paced and highly professional. You will be challenged to process large volumes of information quickly, structure ambiguous problems, and present your findings with absolute clarity to stakeholders who rely on your expertise to win and retain business.

Common Interview Questions

The questions you face will test your analytical mindset, your behavioral fit, and your ability to communicate effectively. While the exact questions will vary based on the specific team and region, the themes remain highly consistent. Use these examples to identify patterns and practice structuring your responses.

Behavioral and Professional Fit

These questions assess your work style, your resilience, and how you handle the demands of a corporate environment.

Walk me through your resume and explain why you are a fit for this specific role.
Tell me about a time you had to manage multiple competing research deadlines. How did you prioritize?
Describe a situation where you had to work with a difficult stakeholder. How did you handle it?
Why are you interested in joining Arthur J. Gallagher & specifically?
Tell me about a time you made a mistake in your analysis. How did you catch it and rectify it?

Research Methodology and Domain Knowledge

These questions dive into your technical skills and how you approach the actual work of a Research Analyst.

What is your process for verifying the accuracy of a new data source?
How do you stay updated on macroeconomic trends and industry news?
Walk me through a complex research project you led from start to finish.
If you were asked to research a new, unfamiliar market, what are the first three steps you would take?
What metrics or indicators do you think are most important when assessing corporate risk?

Case Study and Communication

These questions evaluate your ability to think on your feet, synthesize information, and present it confidently.

(Case Scenario) You are given a dataset showing a sudden spike in claims for a specific industry. How do you investigate the root cause?
How do you adapt your presentation style when explaining technical data to a non-technical client?
(Writing Prompt) Summarize the key impacts of recent inflation trends on commercial property insurance in 500 words or less.
Tell me about a time you had to persuade someone using data.
How do you ensure your personal bias does not affect your research conclusions?

See every interview question for this role

Practice questions from our question bank

Curated questions for Arthur J. Gallagher & from real interviews. Click any question to practice and review the answer.

Easy

SQL & Data Manipulation

SQL in Data Analysis Workflows

Explain how SQL fits with Python, spreadsheets, and BI tools in a practical data analysis workflow.

Aggregations

Data Wrangling

Tools

Easy

Statistics & Probability

Confidence Interval for Fraud Loss Change

Estimate and interpret a 95% confidence interval for the change in fraud loss rate after a new fraud model launch.

Confidence Intervals

Statistical Significance

Expected Value

Easy

Statistics & Probability

Expected Value Pricing for Biased Coin

Use expected value and variance to price a 100-flip biased-coin game and determine the fair entry fee for a risk-neutral player.

Distributions

Conditional Probability

Expected Value

Easy

Strategy

Map the B2B SaaS Analytics Ecosystem

Analyze the B2B SaaS analytics ecosystem, identify the key player groups, and recommend where InsightLoop should compete and how it should position itself.

Competitive Analysis

SWOT

Moats

Easy

SQL & Data Manipulation

Discuss Data Analysis Tooling Choices

Explain how SQL fits with data analysis and visualization tools, and when to use each in an analytics workflow.

Joins

Aggregations

Data Wrangling

Easy

SQL & Data Manipulation

Validating Data Before Reporting

Explain how to validate SQL data before reporting, including null checks, duplicates, outliers, and aggregation reconciliation.

Joins

Data Wrangling

Quality

Easy

SQL & Data Manipulation

SQL Insights for Dashboard Reporting

Explain how SQL prepares clean, aggregated data for dashboards and how to describe business impact from visualization work.

Joins

Aggregations

Data Wrangling

Easy

SQL & Data Manipulation

Discuss SQL for Basic Analysis

Explain how SQL supports basic data analysis through filtering, aggregation, and summarizing business data.

Joins

Aggregations

Data Wrangling

Easy

SQL & Data Manipulation

Analyzing Large Behavioral Datasets

Explain how to analyze a complex dataset in SQL, including cleaning, aggregation, trend analysis, and communicating results.

Joins

Aggregations

Data Wrangling

Easy

Statistics & Probability

Correlation vs Causation in Growth Campaigns

Use a two-proportion z-test and segment adjustment to show why a strong retention correlation from push notifications does not prove causation.

Hypothesis Testing

Correlation

Causal Inference

Easy

SQL & Data Manipulation

Analyzing Large Datasets with SQL

Explain practical SQL methods for analyzing large datasets, including filtering, aggregation, sampling, and performance-aware query design.

Joins

Aggregations

Data Wrangling

Easy

SQL & Data Manipulation

Approaching SQL Dataset Analysis

Explain a practical framework for analyzing a dataset in SQL, from profiling and data quality checks to aggregation and interpretation.

Joins

Aggregations

Data Wrangling

Medium

Metrics

Analyze User Engagement Drop After Feature Release

Assess the 15% drop in user engagement after a new app feature release and propose metric decomposition strategies.

Easy

SQL & Data Manipulation

Analyze Large Dataset Trends in SQL

Explain how SQL replaces Excel for trend analysis on 100,000+ rows using aggregation, date grouping, and filtering.

Aggregations

Pivot

Data Wrangling

Easy

Behavioral & Leadership

Communicating Across Technical Audiences

Tests communication across technical and non-technical stakeholders, focusing on translation, alignment, and influence with different audiences.

Influence Without Authority

Communication

Stakeholder Management

Easy

Behavioral & Leadership

Influencing Without Formal Authority

Tests influence without authority: aligning stakeholders through data, empathy, and ownership to drive a decision and measurable outcome.

Influence Without Authority

Communication

Stakeholder Management

Easy

Metrics

Guide Product Decisions With Metrics

Define the right KPI and diagnose whether stronger conversion and engagement offset weaker retention after a product launch.

KPIs

Leading Indicators

Diagnosis

Easy

SQL & Data Manipulation

Approaching SQL Dataset Analysis

Explain a practical SQL-first approach to analyzing a dataset, from profiling and validation to aggregation and communicating findings.

Joins

Aggregations

Data Wrangling

Medium

Metrics

Define Product Development Success Metrics

Identify key success metrics for a new product launch and evaluate their impact on user engagement and retention.

Medium

Metrics

Evaluate A/B Test Results for New Feature

Assess the impact of a new feature on conversion rates through A/B testing analysis and statistical significance evaluation.

A/B Testing

Experimentation

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Getting Ready for Your Interviews

Thorough preparation requires understanding exactly what the hiring team is looking for. You should approach your preparation by aligning your past experiences with the core competencies that drive success in this specific role.

Interviewers at Arthur J. Gallagher & typically evaluate candidates against the following key criteria:

Domain Knowledge and Relevant Experience – This measures your understanding of market research methodologies, financial analysis, and ideally, the insurance or risk management industry. Interviewers will look for clear evidence that your background aligns directly with the role's requirements.
Problem-Solving and Analytical Rigor – This evaluates how you approach complex data, structure your analysis, and draw logical conclusions. You can demonstrate strength here by excelling in case studies and explaining your analytical frameworks step-by-step.
Communication and Confidence – This assesses your ability to articulate findings clearly, defend your research, and present yourself with authority. Strong candidates speak confidently, write concisely, and tailor their message to their audience.
Resilience and Professionalism – This looks at how you handle ambiguity, navigate multi-stage processes, and interact with panel members. You can show strength by maintaining a proactive, highly professional demeanor throughout every interaction.

Interview Process Overview

The interview process for a Research Analyst at Arthur J. Gallagher & is designed to test both your interpersonal skills and your practical research abilities. While the exact sequence can vary slightly depending on whether you are applying in the United States, India, or other global regions, the core structure remains consistent. You will typically begin with an initial HR screening call to verify your background, timeline, and basic qualifications.

If successful, you will advance to a technical or panel interview. This stage involves deep-dive conversations with two or more members of the team you are applying for. The focus here is on your past experience, your analytical mindset, and your ability to confidently articulate your professional journey. Following the panel, candidates are almost always given a practical assessment—this frequently takes the form of a take-home writing assessment or a live case study presentation.

Tip

The recruitment process can sometimes move at a deliberate pace, and communication timelines may vary. Maintain a highly professional tone and do not hesitate to send polite follow-up emails if you are waiting on feedback.

This visual timeline outlines the typical progression from your initial resume screen through the final practical assessments. You should use this to pace your preparation, focusing first on your behavioral and experiential narrative before shifting your energy toward intensive case study and writing practice. Note that the technical and practical stages carry the most weight in the final hiring decision.

Deep Dive into Evaluation Areas

To succeed, you need to understand exactly how Arthur J. Gallagher & assesses your capabilities during the technical and practical rounds.

Analytical and Problem-Solving Skills

Your ability to dissect a problem and build a logical framework is heavily scrutinized. Interviewers want to see that you can take a broad, ambiguous business question and break it down into measurable research components. Strong performance here means you do not just jump to a conclusion; you explain the "why" and "how" of your methodology.

Be ready to go over:

Data synthesis – How you gather, clean, and interpret large datasets from multiple sources.
Trend identification – Your process for spotting market anomalies or emerging risk trends.
Structuring ambiguous questions – How you build a research plan when given limited initial information.
Advanced concepts (less common) – Predictive modeling basics, statistical significance testing, and advanced data visualization techniques.

Example questions or scenarios:

"Walk us through a time you had to analyze a complex dataset to identify a market trend. What was your approach?"
"Here is a brief case study on a client's risk exposure. How would you structure your research to provide a recommendation?"
"Describe a situation where the data contradicted your initial hypothesis. How did you pivot?"

Written and Verbal Communication

Because your research will be consumed by brokers and clients, your ability to communicate is just as important as your ability to analyze. Arthur J. Gallagher & places a premium on confident, articulate delivery. You will likely face a writing assessment or a presentation round where your clarity, grammar, and persuasive abilities are tested.

Be ready to go over:

Executive summaries – Condensing complex, multi-page findings into a single, high-impact paragraph.
Confident verbal delivery – Speaking clearly and authoritatively during panel interviews.
Defending your work – Responding to pushback or probing questions from interviewers regarding your case study results.
Advanced concepts (less common) – Tailoring highly technical risk data for a non-technical audience.

Example questions or scenarios:

"You have 30 minutes to read this industry report and write a one-page brief summarizing the key takeaways for a senior broker."
"Explain a complex financial or risk concept to me as if I have no background in the industry."
"How do you ensure your written reports remain objective while still providing a clear strategic recommendation?"

Domain Expertise and Experience Alignment

The hiring team will rigorously check that your past experience genuinely aligns with the needs of the desk. They want to ensure you have the foundational knowledge required to ramp up quickly. Strong candidates clearly map their past projects to the specific requirements of the Research Analyst role.

Be ready to go over:

Industry knowledge – Familiarity with insurance, risk management, or broader financial services.
Tool proficiency – Your experience with Excel, SQL, or specific market research databases.
Project lifecycle – How you manage a research project from inception to final delivery.

Example questions or scenarios:

"Walk me through your resume and explicitly connect your past experience to the duties of this role."
"What tools do you typically use for market research, and how did you apply them in your last position?"
"What do you see as the biggest emerging risk in the corporate insurance market today?"

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Frequently Asked Questions

Q: How difficult is the interview process for a Research Analyst? The difficulty is generally considered average, but the grading on communication and confidence is rigorous. The technical questions are usually straightforward if you have the right background, but you must excel in the writing assessment or case study to secure an offer.

Q: What differentiates a successful candidate from an unsuccessful one? Confidence and clarity. Candidates who can speak authoritatively about their past experience and present their case study findings without hesitation are the ones who move forward. Strong candidates also explicitly tie their past experience to the duties of the role.

Q: How long does the process take, and what should I do if I don't hear back? The timeline can vary, and some candidates have experienced delays between rounds. If you do not hear back within the promised timeframe, send a polite, professional follow-up email to your HR contact. Persistence and professionalism are key.

Q: Is the practical assessment done onsite or at home? This depends on the specific office and whether the role is remote or hybrid. Many candidates report doing a take-home writing assessment, while others face an onsite case study presentation. Be prepared for either format.

Q: How important is prior insurance industry experience? While prior insurance experience is a strong "nice-to-have" and will make your ramp-up easier, a strong background in general market research, finance, or economic analysis is often sufficient, provided you demonstrate a willingness to learn the domain quickly.

Other General Tips

Project Confidence: This is explicitly cited as a deciding factor in panel rounds. Practice your delivery so you can speak clearly, maintain eye contact, and present your ideas without second-guessing yourself.
Bring Hard Copies: If you are interviewing onsite, bring multiple printed copies of your resume. Be prepared to walk through your experience line-by-line to prove its relevance to the role.
Nail the Writing Assessment: If assigned a take-home writing task, treat it as a final deliverable for a client. Proofread meticulously for grammar, tone, and conciseness. Executive summaries should be punchy and data-driven.
Structure Your Answers: Use the STAR method (Situation, Task, Action, Result) for behavioral questions, and use clear frameworks (e.g., "I would look at this in three phases...") for case study questions.
Manage Your Own Timeline: Because coordination can sometimes lag, take ownership of your candidacy. Ask for timelines at the end of each round and follow up professionally when those deadlines pass.

Summary & Next Steps

Securing a Research Analyst position at Arthur J. Gallagher & is a fantastic opportunity to build a career at the intersection of data, strategy, and risk management. You will be stepping into a role that demands intellectual curiosity, analytical precision, and the ability to influence key business decisions through exceptional research.

To succeed, focus your preparation on mastering your professional narrative, refining your writing and presentation skills, and practicing case studies that mimic real-world market analysis. Remember that your delivery is just as important as your data; approach every conversation and assessment with unwavering professionalism and confidence.

Interview Guides

Arthur J. Gallagher &

What is a Research Analyst at Arthur J. Gallagher &?

Common Interview Questions

Behavioral and Professional Fit

Research Methodology and Domain Knowledge

Case Study and Communication

See every interview question for this role

Practice questions from our question bank

Sign up to see all questions

Getting Ready for Your Interviews

Interview Process Overview

Tip

Deep Dive into Evaluation Areas

Analytical and Problem-Solving Skills

Written and Verbal Communication

Domain Expertise and Experience Alignment

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Key Responsibilities

Role Requirements & Qualifications

Note

Frequently Asked Questions

Other General Tips

Summary & Next Steps