National Bureau of Economic Research Research Analyst interview questions & guide 2026

The following questions reflect patterns observed in previous Research Analyst interviews. While specific inquiries will vary based on the professor or research team you are meeting, these categories capture the core competencies NBER seeks to evaluate.

Research Experience and Methodology

These questions focus on your history with empirical work and your ability to articulate the findings and challenges of your past projects.

• Tell me about a research project you completed and the specific methodology you used.
• How do you handle missing data or outliers in a large dataset?

Preparation for the NBER should be grounded in your own portfolio. Because this role is highly specialized, your interviewers will spend a significant portion of the time probing the specific details of your resume.

Domain Expertise

• You must be prepared to discuss the "why" and "how" behind every bullet point on your CV.
• Demonstrate a deep understanding of the economic theories relevant to the team's ongoing research.
• Be ready to defend your choice of statistical models and data processing techniques.

Technical Rigor

• Expect to be tested on your fluency in standard economic research tools.
• Your ability to articulate your workflow—from data ingestion to final visualization—is a key indicator of your potential success.
• Focus on demonstrating a high level of attention to detail and a systematic approach to problem-solving.

The interview process at the NBER is typically direct and efficient. It often begins with an application review, followed by a conversation with the lead researcher or a member of the research team. The process is designed to be conversational, focusing on your past experiences and your technical fit for the specific research agenda currently in progress.

Because the NBER functions as a network of researchers, the pace can be rapid once a candidate is identified. You should be prepared to discuss your background in detail during your first conversation, as the team often looks to make quick decisions based on your demonstrated ability to hit the ground running.

The timeline above illustrates the typical progression from application to offer. Candidates should interpret this as a fast-moving process where preparation on your past research work is the primary driver of success. Because the interviewers are often busy academics, being concise and well-prepared for the first interaction is vital.

Technical Competency

The NBER requires a high degree of comfort with data. You will be evaluated on your ability to manipulate datasets accurately and efficiently.

Be ready to go over:

• Statistical Software: Proficiency in Stata, R, Python, or SAS.
• Data Cleaning: Your strategy for handling messy or incomplete real-world data.

As a Research Analyst, your day-to-day will revolve around supporting the research lifecycle. You will spend significant time cleaning data, writing and maintaining code for econometric analysis, and conducting literature reviews to support new papers. You will often collaborate closely with a lead investigator, acting as their primary technical resource for data management.

Beyond the technical work, you will likely participate in team meetings to discuss ongoing research directions. You may be tasked with creating tables and charts for publication, which requires a high level of precision. The role is highly project-based, and you will be expected to manage your time effectively to meet the deadlines of various research papers and grant-funded initiatives.

A strong candidate for this position combines academic excellence with practical, hands-on experience in data analysis.

• Must-have skills: Strong foundation in economics and statistics, proficiency in at least one major statistical software package, and excellent written communication skills.
• Nice-to-have skills: Experience with large-scale data sets, familiarity with LaTeX for document preparation, and previous experience as a research assistant.
• Experience level: Typically, candidates hold an undergraduate or master's degree in economics, statistics, or a related quantitative field.

Q: How difficult are the interviews? A: Most candidates describe the interviews as "easy" or "laid back." They are less about trick questions and more about ensuring you have the technical foundation to support the researchers' work.

Q: How much time should I spend preparing? A: Prioritize reviewing your own past projects. You should be able to speak to your methodology and results for every research experience listed on your resume.

Q: What differentiates successful candidates? A: Successful candidates are those who show genuine intellectual curiosity about the specific topics the team is studying and demonstrate a systematic, careful approach to data analysis.

Q: Is the interview process formal? A: Generally, no. While the work is serious, the environment is often relaxed and emphasizes a direct, collaborative relationship between the researcher and the analyst.

• Own your resume: Be prepared to dive deep into any project you have listed. If you mention a specific statistical technique, know the assumptions behind it.
• Be ready for the "Tell me about yourself": Use this to highlight your journey into research and your specific interest in the NBER's work.
• Ask thoughtful questions: Use the time at the end of the interview to ask about the team's current research focus or the challenges they are currently facing.

The Research Analyst position at the National Bureau of Economic Research is a premier opportunity to contribute to high-impact economic research. By focusing your preparation on your technical research history and demonstrating a clear, logical approach to problem-solving, you will be well-positioned to succeed.

Remember that the interviewers are looking for a teammate who can handle the rigors of empirical research with precision and curiosity. Take the time to revisit your past projects, ensure your technical explanations are clear, and approach your conversations with the confidence of a researcher who is ready to contribute. You are prepared to make a meaningful impact.