Data Analyst Interviews

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.

49,390 data analyst interview questions shared by candidates

Aedit is the first company that I have rejected immediately following the first interview. There was no phone screen with an internal recruiter to confirm salary requirements or other basics. The executive who I met with became oddly defensive when I inquired about Aedit's relationship with Skafos -- an AI company. Normally, I am friendly and jovial during interviews, but I felt reticent with this person, which I attribute to being interrupted and corrected several times (yikes!). In addition, whereas the job posting states this role is a hybrid of data engineering, business analytics, and data science, it's fairly obvious that Aedit is, essentially, looking for a Reporting Analyst. In general, the conversation was incredibly awkward. In addition, it is difficult to find any state documentation on this company through online sources, which seems sketchy. Lastly, it seems like there is a high degree of turnover at this company.
avatar

BI Data Analyst

Interviewed at AEDIT

4
Jul 14, 2020

Aedit is the first company that I have rejected immediately following the first interview. There was no phone screen with an internal recruiter to confirm salary requirements or other basics. The executive who I met with became oddly defensive when I inquired about Aedit's relationship with Skafos -- an AI company. Normally, I am friendly and jovial during interviews, but I felt reticent with this person, which I attribute to being interrupted and corrected several times (yikes!). In addition, whereas the job posting states this role is a hybrid of data engineering, business analytics, and data science, it's fairly obvious that Aedit is, essentially, looking for a Reporting Analyst. In general, the conversation was incredibly awkward. In addition, it is difficult to find any state documentation on this company through online sources, which seems sketchy. Lastly, it seems like there is a high degree of turnover at this company.

Gave sample data set and asked open ended questions about how you would create new data points off of the provided data, writing the code in real time to combine the fields and such. Can use whatever language you're most comfortable with (python, SQL, etc.) Also asked questions about comfort with big data, APIs
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Senior Data Analyst

Interviewed at Strongarm

3.3
Jul 6, 2021

Gave sample data set and asked open ended questions about how you would create new data points off of the provided data, writing the code in real time to combine the fields and such. Can use whatever language you're most comfortable with (python, SQL, etc.) Also asked questions about comfort with big data, APIs

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