Success in this process requires a balance of rigorous technical preparation and a clear, consultative communication style. You must be able to bridge the gap between raw data and high-level product strategy.

Analytical Rigor – You will be expected to demonstrate a deep understanding of statistical methods and data tools. Ensure you can explain the "why" behind your choice of methodology, not just the "how."

Product Intuition – Beyond the numbers, you must show you understand the business of business travel. Be ready to discuss how product changes affect user adoption, corporate compliance, and bottom-line efficiency.

Communication & Influence – You will frequently present findings to senior leaders. Your ability to distill complex findings into a clear, compelling story is just as important as the accuracy of your analysis.

The interview process at American Express Global Business Travel is designed to be comprehensive and multi-layered. You can expect a standard progression that begins with an HR screening to verify your background and interest, followed by a series of technical and behavioral assessments with hiring managers and senior stakeholders.

The process often includes a technical assessment—such as an Excel test or a case study—which serves as a practical demonstration of your analytical skills. Throughout the process, interviewers look for a candidate who is not only technically capable but also resilient and capable of working within a large, established organization that balances innovation with legacy infrastructure.

This timeline illustrates the progression from initial screening to final case studies and leadership interviews. Candidates should use this as a roadmap to pace their study, ensuring they are prepared for both the technical rigors of the case study and the behavioral scrutiny of the senior leadership rounds.

Data Manipulation and Technical Proficiency

You will be evaluated on your ability to handle data sets with precision. Expect to be challenged on your technical toolset and your methodology for ensuring data integrity.

Be ready to go over:

• SQL and Excel proficiency – These are the bread and butter of the role; expect advanced queries and complex data modeling.
• Data Visualization – How you translate findings into dashboards that drive decision-making.
• Advanced concepts – Familiarity with A/B testing frameworks and cohort analysis.

Example scenarios:

• "How would you handle a discrepancy between two data sources that are both critical to your analysis?"
• "Walk me through an instance where you discovered an anomaly in your data—how did you verify it?"

Case Study and Problem Solving

The case study is a critical component where you are given a business problem and asked to propose an analytical solution. This is not just about the math; it is about your framework for thinking.

Be ready to go over:

• Structuring ambiguous problems – Breaking down a large, vague request into solvable analytical components.
• Hypothesis-driven analysis – Developing a clear thesis and testing it against the data.
• Business impact – Connecting your analytical output to tangible business metrics like user retention or cost savings.

Example scenarios:

• "Design an analysis to determine why a specific feature has seen a drop in usage over the last quarter."
• "How would you prioritize three competing product requests using data?"

As a Research Analyst, you are the "voice of the data" for your product team. Your day-to-day involves deep dives into user behavior, where you will pull data to understand how corporate clients are utilizing American Express Global Business Travel tools. You will be expected to translate these findings into clear, actionable recommendations for product managers who are building the next generation of travel management software.

You will also act as a bridge between the technical data teams and the business-focused product teams. This means you will spend significant time cleaning and preparing data from various internal systems, running ad-hoc queries, and building automated dashboards that allow stakeholders to self-serve their own insights.

A successful candidate for this role possesses a blend of analytical grit and product-focused empathy. You need to be comfortable working with large, complex data sets while maintaining a focus on the end-user experience.

• Must-have skills: Advanced SQL, expert-level Excel, experience with data visualization tools (such as Tableau or Power BI), and a strong foundation in statistical analysis.
• Nice-to-have skills: Experience with cloud data warehouses, proficiency in Python or R for data modeling, and prior experience in the travel or fintech sectors.
• Soft skills: Ability to communicate complex insights to non-technical stakeholders, strong project management skills, and a proactive mindset toward identifying business opportunities.

Q: How much time should I dedicate to preparation? A: Dedicate at least 15–20 hours to reviewing your past projects and practicing technical case studies. Focus on articulating your "why" behind every technical choice.

Q: What differentiates successful candidates? A: Successful candidates are those who can link their analytical findings directly to business outcomes. Don't just show the data; show how the data solves a specific product problem.

Q: Is the technical test difficult? A: It is designed to test practical, day-to-day skills. If you are comfortable with complex Excel formulas and structured SQL queries, you will be well-prepared.

Q: What is the culture like for an analyst? A: It is a fast-paced environment where data is highly valued. You will have a lot of autonomy, but you must be comfortable navigating a large organization with established processes.

• Prepare for the "Why": For every project you discuss, be ready to explain why you chose a specific tool or method over an alternative.
• Own Your Narrative: When discussing past experiences, use the STAR method (Situation, Task, Action, Result) to keep your answers structured and impactful.
• Research the Product: Understand what American Express Global Business Travel does beyond the basics; look into their recent product launches or market shifts.
• Be Ready for Ambiguity: In your interviews, if you are asked a vague question, take a moment to clarify the requirements before diving into the solution.

The Research Analyst position at American Express Global Business Travel is a high-impact role that offers the chance to influence the future of global business travel. By mastering your technical fundamentals and sharpening your ability to communicate complex data as a strategic narrative, you position yourself as a vital asset to the product organization.

Preparation is your greatest advantage. Focus on your ability to structure analytical problems, articulate your methodology, and connect your work to broader business goals. You have the potential to excel in this role—continue your preparation with confidence, keep your focus on the business impact of your work, and utilize all available resources to ensure you are ready to perform at your best.