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Data Analyst Interviews

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Data Analyst Interview Questions

In a data analyst interview, employers ask questions that help ascertain your level of technical skills, including familiarity with data analysis software, data analysis terminology, and statistical methods. Interviewers may also use guesstimate questions to learn about your problem-solving skills and creative thinking.

Top Data Analyst Interview Questions & How to Answer

Question 1

Question #1: What data analysis software have you worked with?

How to answer
How to answer: Data analysts use software to perform many of their job duties. Interviewers ask this question to determine your current skill level and how much training you may require. List and discuss any data analysis software you have used. Be sure to mention specific software training and give examples of how you used the software on the job.
Question 2

Question #2: Which statistical methods are most beneficial for data analysis?

How to answer
How to answer: With this question, interviewers are testing your understanding of the most commonly used statistical methods, such as the simplex algorithm, imputation, the Bayesian method, and the Markov process. List and discuss data analysis methods, including the specific benefits of each process. If possible, include examples of how you used specific statistical methods on the job.
Question 3

Question #3: Explain how you would estimate the pairs of rain boots sold in Seattle in May?

How to answer
How to answer: Guesstimate questions are often used in data analyst interviews to test your analytical thinking and problem-solving methods. Share how you would work through the problem, including the data sets you would need, how you would go about finding data, and the methods you would use to calculate an estimated answer.

49,270 data analyst interview questions shared by candidates

Suppose we have a binary classification problem. 99.8% of individuals in our sample = 0, 0.2% = 1. We downsample: we randomly sample say 1% of the individuals which =0, but keep all which =1. We fit our model to this new smaller sample, and now we have a model which produces probabilities that an individual = 1. How do we adjust our output probabilities to use this model on the population as a whole?
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Data Analyst

Interviewed at Upstart

3.8★
Dec 20, 2019

Suppose we have a binary classification problem. 99.8% of individuals in our sample = 0, 0.2% = 1. We downsample: we randomly sample say 1% of the individuals which =0, but keep all which =1. We fit our model to this new smaller sample, and now we have a model which produces probabilities that an individual = 1. How do we adjust our output probabilities to use this model on the population as a whole?

There were a couple of questions but these are the ones that I remember: 1. Tell me about yourself 2. Why apply for this position? 3. What are your strengths & weaknesses? 4. Present one of your projects 5. What do you expect from the company?
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People Data Analyst Intern

Interviewed at Fazz

3.6★
Sep 23, 2022

There were a couple of questions but these are the ones that I remember: 1. Tell me about yourself 2. Why apply for this position? 3. What are your strengths & weaknesses? 4. Present one of your projects 5. What do you expect from the company?

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Glassdoor has 49,270 interview questions and reports from Data analyst interviews. Prepare for your interview. Get hired. Love your job.