Analysis Group Research Analyst interview questions & guide 2026

The following questions reflect patterns observed in recent Analysis Group interview cycles. While the specific inquiries change based on the team's current caseload, the focus remains on your ability to apply economic intuition to real-world data problems.

Technical and Econometric Depth

These questions test your mastery of the tools and theories you listed on your CV. You should be prepared to defend your methodology.

• Can you walk me through the statistical methods used in your most recent project?
• How would you interpret the results of a regression model if you found significant heteroskedasticity?

Preparation for Analysis Group requires more than just knowing definitions; it requires "storytelling" with data. You must be able to articulate not just what you did, but why you chose a specific model and how it impacted the project's outcome.

Technical Rigor – You must be intimately familiar with every project listed on your resume. Be ready to discuss the motivation for the study, the data cleaning process, the specific model choice, and the validity of the results.

Economic Intuition – Beyond the math, you need to show you understand the business context. Interviewers want to see that you can "sanity check" your results and understand the implications of your findings for a client’s position.

Communication Clarity – You will be evaluated on your ability to simplify complex concepts. If you cannot explain your research to a non-technical interviewer, you will struggle to succeed in the client-facing nature of this role.

Team Dynamics – Analysis Group operates as a highly integrated team. You must demonstrate that you are a reliable collaborator who can handle feedback, manage conflict professionally, and contribute to the "collective brain" of your project team.

The interview process at Analysis Group is designed to evaluate both your technical technical capabilities and your cultural fit within a collaborative, fast-paced environment. You should expect a multi-stage process that begins with a screening call and typically culminates in a "Super Day"—a series of back-to-back interviews where you meet with several team members, ranging from junior analysts to partners.

The process is notably consistent but can be intense due to the volume of interviewers. You may find yourself answering similar behavioral questions across multiple sessions; consistency and energy management are key. The firm places a high premium on intellectual curiosity and the ability to maintain composure when challenged on your methodology.

The timeline above highlights the transition from initial behavioral screening to intensive, multi-round technical evaluations. You should interpret the "Super Day" as a test of endurance and consistency, where your ability to remain professional and sharp across 4–6 consecutive sessions is as important as your technical answers.

Project Methodology

Interviewers will spend significant time drilling into your past research. Strong performance means you can explain the "why" behind every methodological choice.

Be ready to go over:

• Motivation – Why was this research necessary?
• Data Challenges – How did you handle missing values or outliers?

As a Research Analyst, your day-to-day is defined by the needs of your project teams. You will spend a significant portion of your time preparing datasets for analysis, which includes merging large, messy files and performing quality control checks. You are the "first line of defense" for data accuracy.

Beyond data prep, you will construct econometric models and perform statistical analyses. You will often work with STATA, R, or SAS to run regressions, perform simulations, and generate outputs. These outputs are then incorporated into reports, expert testimony, or presentations.

Collaboration is constant. You will be expected to update your project managers on progress, flag potential issues early, and participate in team brainstorming sessions to troubleshoot model anomalies. You are expected to be proactive, asking for clarification when instructions are ambiguous and offering solutions rather than just reporting problems.

A competitive candidate for Analysis Group possesses a strong foundation in economics or a quantitative field, combined with the soft skills necessary for professional consulting.

• Must-have skills:
  • Proficiency in STATA, R, or SAS.
  • Strong understanding of econometrics and statistics.
  • Demonstrated experience with data cleaning and manipulation.
  • Ability to synthesize research into clear, written arguments.
• Nice-to-have skills:
  • Experience with claims data or large-scale healthcare datasets.
  • Familiarity with cost-effectiveness analysis (CEA).
  • Experience with data visualization tools like Tableau or Power BI.

Q: How difficult are the technical portions of the interview? A: The difficulty is average to high, but it is focused on depth rather than breadth. You will not be asked to solve abstract brain teasers; you will be asked to explain the specific math behind the projects you have already completed.

Q: Is there a case study? A: Yes, particularly during the Super Day. These cases are usually specific to economic consulting, involving a scenario where you must analyze data or provide an intuitive economic framework for a business problem.

Q: How should I handle the repetitive nature of the Super Day? A: Treat every interviewer as a fresh start. Even if you are asked the same question for the fourth time, provide a clear, concise answer with the same enthusiasm as the first time.

Q: What is the biggest mistake candidates make? A: Being unable to explain the details of their own resume or failing to demonstrate "economic intuition" regarding the limitations of their data.

• Own your resume: Every line on your document is fair game. If you mention a project, know the coefficients, the p-values, and the structural limitations of the model.
• Structure your answers: Use the STAR method (Situation, Task, Action, Result) for behavioral questions to keep your responses focused and impactful.
• Be ready for the "So What?": Always connect your technical work back to the broader goal of the project. Why did the client care about this analysis?
• Show curiosity: Ask thoughtful questions about the team’s current work or the firm's culture. It demonstrates that you are genuinely interested in the specific work at Analysis Group.

The Research Analyst role at Analysis Group is a premier opportunity to apply rigorous economic and statistical training to high-stakes business challenges. Success in the interview process depends on your ability to demonstrate both technical mastery of your past work and the professional maturity to succeed in a collaborative, client-facing environment.

Focus your preparation on internalizing the details of your past projects and practicing how to communicate complex findings with clarity. Remember that the interviewers are not just testing your knowledge; they are evaluating whether you are someone they want to have on their team during a long, complex project. Stay focused, be intellectually honest, and demonstrate your capacity for analytical rigor.

The compensation data provided reflects industry standards for this role. Candidates should interpret these figures as a baseline and understand that total compensation packages at Analysis Group may vary based on location, specific academic background, and years of relevant experience.