Quest Global Data Analyst interview questions & guide 2026

The following questions are representative of the patterns observed in recent interview cycles. While individual experiences may vary based on the specific project team, you should prepare for a process that heavily emphasizes technical proficiency in data manipulation and visualization.

Technical Proficiency: SQL and Power BI

These questions test your ability to query databases and your mastery of the primary visualization tool used at Quest Global.

• Can you explain the difference between a calculated column and a measure in Power BI?
• How would you optimize a slow-running SQL query?

Preparation for Quest Global should be grounded in a balance of deep technical practice and the ability to articulate your problem-solving process. Do not just focus on the "how"—be prepared to explain the "why" behind your technical choices.

Role-Related Knowledge – You must demonstrate mastery of SQL, Power BI (including DAX), and Excel. Interviewers will look for your ability to move beyond basic reporting to create customized, interactive, and high-performance dashboards that support real-world engineering needs.

Problem-Solving Ability – You will be evaluated on your ability to structure ambiguous challenges. When presented with a data problem, demonstrate a logical framework: assess the data quality, define the objective, choose the right tool, and validate your results.

Communication & Stakeholder Management – Because you will support both internal and external focals, your ability to explain technical findings clearly is paramount. Practice summarizing complex analysis into "so-what" statements that drive decision-making.

The interview process at Quest Global is structured to be seamless and direct, typically spanning three rounds. You will generally face a combination of technical screens and face-to-face (or virtual) interviews that focus on your functional expertise and cultural alignment with the company’s engineering-first mindset. The pace is designed to be efficient, moving from initial technical vetting to deeper discussions on how your skills fit the specific needs of the aerospace or engineering teams you will support.

This timeline illustrates the progression from technical vetting to a final HR assessment. Use this structure to pace your preparation: dedicate the first phase to high-intensity technical drills, and reserve the final stages for refining your behavioral stories and understanding the specific business goals of the hiring team.

Data Visualization & DAX

Your ability to build impactful, accurate visuals is the most critical technical component of this role.

• Be ready to go over:
• DAX Measures vs. Calculated Columns – Understand the performance implications of both.
• Visual Best Practices – How to design for clarity and user engagement.

As a Data Analyst, your primary output is the creation and maintenance of tools that drive operational transparency. You will be expected to update and edit the A320 Neo EBU Coverage Tracker, ensuring that part allocations are accurate prior to MSN delivery. This involves constant monitoring of data sources to ensure that the information flowing into your Power BI dashboards is error-free and reliable.

Beyond building reports, you will act as a bridge between data and engineering. You will collaborate with internal and external focals, attending status meetings to present your findings and adjusting your analysis based on business needs. Continuous improvement is a core requirement; you are expected to develop standard work instructions and find ways to automate manual tasks, effectively "engineering" the way the team interacts with data.

Successful candidates for the Data Analyst position will demonstrate a blend of technical competence and a proactive, "startup-spirit" mindset.

• Must-have skills:
• Bachelor’s degree in a relevant discipline (or 5+ years of equivalent experience).
• 3+ years of professional experience in data analysis.
• Advanced MS Excel skills (formulas, data tables).
• Proficiency in Power BI (publishing, dashboards, DAX, Power Query).
• Strong SQL logic for data transformation.
• Nice-to-have skills:
• Experience with Python for data automation.
• Familiarity with aerospace or manufacturing data environments.
• Experience training or mentoring junior team members.

Q: How difficult are the technical rounds? A: Candidates generally report the technical rounds as manageable if you are well-prepared. The focus is on practical, real-world application of SQL and Power BI rather than obscure theoretical knowledge.

Q: Is there a heavy focus on coding? A: While Python may be asked in some rounds, the core of the role is SQL and Power BI. You should be comfortable with basic string manipulation and data transformation logic in Python, but your primary strength should be in data modeling and visualization.

Q: What is the culture like at Quest Global? A: The culture is defined by a "humble genius" approach. They value collaboration, intellectual curiosity, and a willingness to learn from failure. You should demonstrate that you are a team player who is comfortable working in a fast-paced engineering environment.

• Structure your answers: Use the STAR method (Situation, Task, Action, Result) for behavioral questions to keep your responses concise and impactful.
• Know your tools: Be prepared to discuss specific challenges you have faced with Power BI—the interviewers want to know that you have actually built and maintained production-level reports.
• Connect to the industry: Even if you haven't worked in aerospace, research the basics of supply chain or project tracking. Showing that you understand the "why" behind the A320 Neo EBU tracking will set you apart.
• Be ready to demonstrate passion: The job description emphasizes "high level of intellectual curiosity." Don't be afraid to talk about side projects or times you taught yourself a new data technique.

The Data Analyst role at Quest Global is a high-impact position that requires a blend of technical precision and clear, professional communication. By mastering your SQL and Power BI fundamentals and preparing to discuss your experience through the lens of continuous improvement, you will be well-positioned to succeed in the interview process.

The salary range provided reflects the specialized nature of this role within the aerospace sector. Candidates should interpret this range as a reflection of the required technical proficiency and the professional experience expected to manage high-stakes engineering data.

We encourage you to use the insights provided here to focus your preparation. You have the potential to contribute significantly to Quest Global’s mission of engineering a brighter future. Continue exploring your strengths, refine your case studies, and approach your interviews with the confidence that comes from thorough preparation.