1. What is a Business Analyst?
As a Business Analyst at American Express Global Business Travel (Amex GBT), you occupy a pivotal role at the intersection of data, technology, and corporate travel strategy. This position is not merely about reporting numbers; it is about interpreting vast amounts of travel data to drive efficiency, improve client experiences, and optimize internal operations. You will act as a bridge between technical teams and business stakeholders, translating complex data sets into actionable insights that power the world’s leading B2B travel platform.
The impact of this role is significant. Amex GBT manages millions of transactions and supports companies in navigating the complexities of global mobility. In this role, you will likely work on projects ranging from optimizing analytics pipelines to building dashboards that help clients visualize their travel spend and carbon footprint. You are expected to bring clarity to ambiguity, ensuring that data-driven decisions guide the company’s product evolution and service delivery.
Candidates who thrive here are those who view data as a storytelling tool. Whether you are refining a machine learning model to predict travel trends or structuring a SQL query to solve a client issue, your work directly influences how businesses connect globally. It is a role that demands technical rigor, but rewards you with the opportunity to shape the future of corporate travel on a massive scale.
2. Common Interview Questions
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Curated questions for American Express Global Business Travel from real interviews. Click any question to practice and review the answer.
Explain how SQL fits with data analysis and visualization tools, and when to use each in an analytics workflow.
Explain a practical SQL-first approach to analyzing a dataset, from profiling and validation to aggregation and communicating findings.
Explain how SQL fits with Python, spreadsheets, and BI tools in a practical data analysis workflow.
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Sign up freeAlready have an account? Sign in3. Getting Ready for Your Interviews
Preparation for Amex GBT requires a balanced focus on technical acumen and soft skills. The interviewers are looking for candidates who can not only perform the analysis but also communicate the "so what" behind the data.
Key Evaluation Criteria:
- Technical Proficiency – You must demonstrate a solid grasp of data manipulation and visualization tools. Interviewers will evaluate your ability to write complex SQL queries, understand data warehousing concepts, and apply basic machine learning algorithms where applicable.
- Analytical Problem Solving – Amex GBT places a heavy emphasis on case studies. You will be evaluated on your ability to break down open-ended business problems, structure a logical approach, and derive recommendations based on limited or ambiguous information.
- Communication & Presence – Because this role involves stakeholder management, your ability to articulate your thoughts clearly is critical. This includes verbal communication during case studies as well as written communication, which may be tested through email writing exercises or documentation reviews.
- Resume Deep Dive – Expect a rigorous examination of your past experiences. Interviewers will probe the specific methodologies you used in previous projects to verify the depth of your involvement and understanding.
4. Interview Process Overview
The interview process at American Express Global Business Travel is generally structured to assess consistency and depth. While the timeline can vary significantly—ranging from a streamlined one-day process to a multi-month engagement—the stages follow a logical progression. You should expect a process that is thorough, involving multiple rounds of interviews that alternate between technical assessments and behavioral discussions.
Typically, the process begins with an initial screening or briefing, which may include a written test covering aptitude, email writing, or technical concepts. Following this, you will move into 2–3 rounds of interviews. These rounds usually escalate in seniority, starting with a Manager or Peer, moving to a Senior Manager, and often concluding with a Director. The atmosphere is frequently described as cooperative and professional, though you should be prepared for interviewers who are "hard to read" or highly focused on technical specifics.
This timeline illustrates a standard progression from the initial application to the final offer. Use this to manage your expectations; while some candidates experience a rapid turnaround, others note gaps between rounds. It is important to stay patient and maintain professional follow-up if the process extends over several weeks.
5. Deep Dive into Evaluation Areas
To succeed, you must demonstrate competency across several specific domains. Based on candidate experiences, the evaluation is a mix of standard business analysis skills and specific technical requirements relevant to Amex GBT’s data infrastructure.
Data Manipulation & SQL
This is a cornerstone of the evaluation. You will be tested on your ability to retrieve and manipulate data efficiently. Be ready to go over:
- SQL Fundamentals – Joins (inner, outer, cross), aggregations, and filtering.
- Pipeline Setup – How you extract, transform, and load (ETL) data for analysis.
- Data Cleaning – Techniques for handling missing values or inconsistent data formats.
Business Intelligence & Visualization
You must show how you present data to stakeholders. Tableau is frequently mentioned in interview feedback. Be ready to go over:
- Dashboard Logic – How to choose the right chart for the data.
- Tool Specifics – Filters, calculated fields, and parameters in tools like Tableau.
- Storytelling – explaining insights to non-technical audiences.
Machine Learning Concepts
While this is a Business Analyst role, there is a distinct preference for candidates who understand data science principles. Be ready to go over:
- Algorithm Selection – When to use regression vs. classification.
- Model Basics – Understanding supervised vs. unsupervised learning.
- Application – Describing a situation where a specific ML technique solved a business problem.
Case Studies & Problem Solving
Almost every candidate reports encountering case studies. These are designed to test your thinking process rather than a specific right answer. Be ready to go over:
- Root Cause Analysis – Identifying why a specific metric has dropped or spiked.
- Market Sizing/Estimation – Quick math to estimate business opportunity.
- Scenario Planning – "What would you do if..." type scenarios related to travel data or client reporting.



