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Arthur J. Gallagher &Company guide
Updated weekly · Reviewed by the Dataford team

Arthur J. Gallagher & interview process & guide 2026

Interview difficulty 4.6 / 10Based on 515 interview reports

Everything we know about interviewing at Arthur J. Gallagher &: the process stage by stage, what each round tests, compensation by level, and reports from candidates who interviewed.

Account ExecutiveFinancial AnalystBusiness AnalystSoftware EngineerData AnalystMarketing Analytics Specialist
Practice Arthur J. Gallagher & questionsSee the process

At a glance

4.6/ 10
Interview difficulty 4.6 / 10
Rated by candidates who reported interviewing here. Harder than 52% of companies we track.
17
Role guides
515
Interview reports
12
Topics tracked
$97k
Median total comp
5 rounds
  1. 1
    Initial screening
  2. 2
    Initial screening and/or technical assessment
  3. 3
    Behavioral interview and panel interviews
  4. 4
    Technical and behavioral interviews plus presentations
  5. 5
    Final interviews and final stakeholder discussions
01 · Overview

Interviewing at Arthur J. Gallagher &

You should expect a structured, multi-stage interview flow that blends sales or business fit, strong communication, and targeted technical assessment depending on the role. Across the process, communication skills are prominent, and candidates commonly report a conversational tone where interviewers focus on how you present your thinking rather than only trying to catch you.

The topics they test in the extracted question data are dominated by Power BI, Data Engineering, Marketing Analytics, QA Engineering (general), Financial Analysis, Software Engineering (role/competency), Catastrophe Analysis (Reinsurance), Research Analyst requirements, plus SQL and Python. They also test communication skills heavily, and problem solving is also present, so you need to be able to talk clearly about technical work, not just compute answers.

Based on reported candidate experiences, the loop can feel drawn out, with waiting periods and last-minute updates mentioned by candidates. The overall difficulty mix reported is mostly medium, with some easy and fewer hard or very hard, and offer rate is reported as 0.0% in the candidate data, so don’t expect quick or predictable outcomes even if early conversations go well.

Good to know

Power BI, Data Engineering, Marketing Analytics, QA Engineering, and finance or role-specific technical areas show up at the highest level in the topic data, while communication skills and SQL or Python are also consistently prominent. Prepare to explain your work clearly in addition to doing it correctly.

02 · Difficulty and outcomes

How hard is the Arthur J. Gallagher & interview?

Aggregated from 515 interview experiences
Difficulty mix
Easy29%
Medium59%
Hard12%
Most loops land in the middle: hard enough to prep for, rarely brutal.
Offer rate
54%about 1 in 2

About 1 in 2 candidates with a known outcome convert.

278 offers across 515 reports with a stated outcome.
Experience sentiment
66%positive
Positive 66%Neutral 13%Negative 22%
Reports by year
81
79
122
102
66
20222023202420252026
By interview date. The current year is partial.
03 · The loop

The interview process, end to end

5 rounds · based on 515 candidate reports
  1. 1
    Initial screening

    You can expect an initial HR recruiter call to review your background and fit for the role. Some candidates describe a recruiter-centered setup and a casual tone, with straightforward questions about you and your comfort discussing role-related topics.

    Phone call, approximate · Background fit · Role alignment · Communication
  2. 2
    Initial screening and/or technical assessment

    You may go from application or a preliminary qualification review into a structured, timed technical assessment. The assessment is described as evaluating technical accuracy and performance under pressure, and may include coding or aptitude-style questions, plus evaluation related to cybersecurity knowledge.

    Same week or soon after screening, approximate · SQL · Python · Technical accuracy
  3. 3
    Behavioral interview and panel interviews

    You should expect behavioral questions focused on interpersonal skills and cultural fit, often with a hiring manager and HR. Some candidates also report a culture fit conversation with a team member, and panel-style interviews with senior leaders and peers.

    Several interviews across sessions, approximate · Communication skills · Problem solving · Stakeholder fit
  4. 4
    Technical and behavioral interviews plus presentations

    You may encounter a multi-stage mix of situational or knowledge-based discussion followed by a data analytics presentation. Candidate reports frequently mention a “why me” presentation and, in some cases, a dashboard or findings walkthrough to senior stakeholders.

    Multiple rounds, approximate · Power BI / dashboard presentation · Analytical communication · Data skills
  5. 5
    Final interviews and final stakeholder discussions

    The end of the loop can include final interviews with multiple interviewers, potentially including branch leadership and peer account executives depending on the role. Some candidates describe a final, persuasion-heavy session where you effectively “sell” why they should hire you.

    Final day(s), approximate · Persuasion · Leadership communication · Role fit
04 · Topic breakdown

What Arthur J. Gallagher & actually tests for

How prominent each skill is across reported loops
88%
SQL
88%
Data Analytics
86%
Python
85%
Risk Management
80%
Behavioral Interviewing
80%
Communication Skills
76%
Stakeholder Communication
70%
Stakeholder Management
65%
Insurance Domain Knowledge
57%
Aptitude Testing
45%
Problem Solving
29%
Requirements Gathering
Tested less
Tested more
05 · Role guides

Find the guide for your role

This is your next step: open the guide for the role you are interviewing for. Each one carries the questions Arthur J. Gallagher & interviewers actually ask that position, the loop structure, and pay by level.

Most reported roles
Account Executive
$81k-$183k total comp
Real questions · Loop structure · Pay bands
Open the guide
Financial Analyst
$70k-$80k total comp
Real questions · Loop structure · Pay bands
Open the guide
Business Analyst
$57k-$110k total comp
Real questions · Loop structure · Pay bands
Open the guide
Showing 12 of 17 role guides
Consultant
$63k-$205k
Open guide
Data Analyst
$31k-$884k
Open guide
Data Engineer
$66k-$129k
Open guide
Data Scientist
Questions and loop structure
Open guide
Data Visualisation Specialist
Questions and loop structure
Open guide
Marketing Analytics Specialist
Questions and loop structure
Open guide
Operations Manager
Questions and loop structure
Open guide
Project Manager
$42k-$52k
Open guide
QA Engineer
Questions and loop structure
Open guide

Real interview experiences

What candidates said about the loop, difficulty, and outcomes, straight from recent reports for these roles.

Account Executive
06 · Compensation

What Arthur J. Gallagher & pays, by level

Estimated total compensation: base salary plus stock and annual cash bonus.

Median $97k
Level$0kTotal comp range$900kTotal
All levels
Base $31k-$746k
$31k-$884k
Ranges blend verified compensation data points. Base + stock + annual bonus shown. Estimates only.
07 · Insider tips

What separates offers from rejections

Patterns from candidates who got offers, and the mistakes that most often sink a loop.

Do this

  • Prepare SQL and Python examples you can explain end to end, including how you would approach data tasks and validate correctness. The topic data shows both SQL (very prominent) and Python (very prominent).
  • Build at least one Power BI or dashboard-style walkthrough where you connect analysis to business impact. Power BI is at the top of the topic list, and candidate reports repeatedly mention presentation or “why me” style communication tests.
  • Practice behavioral storytelling that ties past projects to stakeholder management and collaboration. Behavioral interviewing and communication skills are prominent in the topic data, and multiple candidate reports highlight fit and persuasion toward the end.
  • If the role is analytics or engineering adjacent, rehearse structured problem solving under time pressure. The process includes a technical assessment described as timed and performance under pressure.

Avoid this

  • Don’t treat communication as secondary to technical work. Communication Skills and Power BI are both very prominent in the topic data, and several reports emphasize presentations and “why you” framing.
  • Don’t rely only on easy fundamentals if you are going for a technical role. The topic list includes advanced role-specific areas like Catastrophe Analysis (Reinsurance) and Data Engineering, and the technical assessment is described as structured and timed.
  • Don’t assume the process will be fast or tightly coordinated. Candidate reports mention drawn-out timelines, waiting periods, and last-day decisions, even when earlier steps went well.
  • Don’t ignore that persuasion may matter late in the process. Some candidates describe a final stretch focused on selling why they should be hired.
08 · FAQ

Arthur J. Gallagher & interview FAQ

Answered from real candidate and workplace data
Is this mostly a technical interview or more about fit?

It’s both. The extracted topic data shows very prominent communication skills plus multiple technical areas like Power BI, Data Engineering, SQL, and QA engineering, depending on the role. Candidate reports also emphasize “why me” presentation, culture fit conversations, and a final persuasive conversation in some cases.

How hard is the interview difficulty level?

In the candidate reports you provided, 28.4% is easy, 59.5% is medium, 9.3% is hard, and 2.8% is very hard. Those are the only difficulty figures available, so focus on being consistently strong for medium-level scenarios while still covering harder technical topics listed in the data.

What parts should I prioritize studying?

Prioritize Power BI and Data Engineering because they are at the top of the topic list, and include SQL and Python since they are also very prominent. Also prepare for QA Engineering (general) and role-specific technical topics shown in the data, such as Financial Analysis and Catastrophe Analysis (Reinsurance), depending on the role you’re applying for.

What does the timed technical assessment look like?

The process includes a technical assessment described as highly structured and timed, evaluating raw recall, technical accuracy, and performance under pressure. It may include coding or aptitude-style challenges, and the description also mentions evaluation of cybersecurity knowledge.

How long does the loop take, and when will I hear back?

The data does not provide a single standard timeline, but candidate reports mention end-to-end durations around a month and a half and also mention processes stretching for several months. Several reports highlight waiting periods and last-day updates, so plan for uncertainty in timing.

Will I get an offer based on the data you have?

In the candidate report dataset you provided, the offer rate is reported as 0.0%. That figure is only for the aggregated dataset and does not explain individual outcomes, but it signals that you should not assume an offer is likely even if you do well early.

09 · In their words

What people say about Arthur J. Gallagher &

Verbatim snippets from employee and candidate reviews
“Salary could be improved to better reflect the demands of the role.”
Account Executive5.0
“The team environment is supportive and collaborative.”
Account Executive5.0
“The fast-paced work environment fosters significant learning opportunities.”
Account Executive5.0
“The fast-paced learning environment, coupled with dedicated mentors, significantly enhances sales growth.”
Account Executive5.0
“The internship offered excellent leadership and numerous opportunities for presentations and learning.”
Account Executive5.0
“The internship duration could be extended for a more comprehensive experience.”
Account Executive5.0
10 · Keep prepping

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