Data Analyst Interview Questions

Hi I’m Jen. I’ve been through a lot of
data analyst interviews both as the interviewee and the interviewer. It can
be really intimidating preparing for data analyst interview questions when you’re
not sure what they’re going to be. You might not know what interview questions
to expect or exactly how to prepare to make sure that your interview is success
and you come out as a strong candidate. Today I’m going to help you prepare for
your data analyst interview by going through the most common data analysts
interview question types and how to prepare for them. Are you ready for an
analytics career? Get the comprehensive guide “how to become a data analyst”.
Topics include key skills and how to build them, career paths, gaining
experience, and launching your career. Check out the link in the description
for more. The first type of data analyst interview question is the technical
question. This has something to do with your programming skills or just your
technical computer skills. These are questions about your skills with SQL,
with SAS, with Python, with R, with whatever programming language that was
probably mentioned in the Job Description. The real purpose of the
employer asking you this particular data analyst interview question is, “Can you do
the programming work?” Here they’re not just looking for “yes, I’ve done that. I’ve
had this course or this training.” They’re looking for what can you do with it – what
skills do you have? It doesn’t matter if you have all the training in the world
if you can’t implement it and put it to use you’re not a very helpful candidate
for them. As you answer questions about these technical skills, about your
programming skills, your interview answers should reflect that you have the
skill set and how you’ve shown that you have that skill set.
Sometimes these technical questions are also fairly simple questions on how you
personally would solve a particular problem. An employer would ask these
questions about specifically how you’d solve a common data analyst problem
because they want some proof that you actually have the skills. For instance,
I might ask a candidate that I’m interviewing for a position where
they’re using SAS how would you join two tables. And all I’m looking for is a
pretty simple explanation. It’s not a trick question. I’m not asking for a
complicated answer. I just want to know that they know exactly how to do some
basics. These types of questions could be verbal, they could be a timed online test,
or they might be something where in the middle of the interview you’re given a
whiteboard and asked to write out how you would solve that particular problem
or program a solution to that particular request. You can prepare for this by
testing yourselves on some basics and really the best preparation is just
using that programming language and going through the exercise of doing work
in it if you know that that’s the language that they’re going to be asking
you about during the interview. The second type of data analyst interview
question is the math or statistics question.
These again are not going to generally be very complicated but they’re going to
test how articulate you are at explaining differences in different
terms – statistics terms or just testing can you use these skills? Which skills
would you apply? For instance you might be asked something like how would
you distinguish between a population and a sample and how would you use these
differently when you’re performing analysis. These are questions that you
can study a little bit for but again comes with a lot of practice. Be familiar
with general statistics terms. Those are going to be the most common things that
come up during this portion of the data analyst interview. The third type of
question will show up throughout your entire interview even within those math
and statistics questions and the programming questions. Those are
questions about your past application or experience with data analytics. In many
cases these questions take the form of tell me about a time when you … so
“tell me about a time you had to explain the results of your
analysis” “tell me about a time when your results didn’t turn out like you
expected” “tell me about the time when you weren’t able to solve the problem” “tell
me about a time when you performed the wrong analysis” These types of questions
are really looking for your actual experience doing this day to day work
and encountering problems that most people as the data analyst are going to
encounter. There is one great way to answer any of these data analysts
interview questions about experience and that’s using the STAR model which walks
through the situation, the task, the action and the result. It lays out in
a pretty concise way a good answer to those interview questions. I’ve done a
whole video on the STAR model and it’s a great way to talk about any experience
during a job interview. I’ll put a link to that so you can go check it out for
more details. The last most common type of data analyst interview question we’re
going to talk about today is the general interview question. Don’t get so caught
up preparing for specific analytics questions that you forget the basics
that are asked in almost every interview. Two questions in particular that you
have to prepare for if you’re doing any job interview are “tell me about yourself”
and “why should we hire you”. You should be answering “why should we hire you”
throughout your interview with all your other answers. “Tell me about yourself” is
a question that kicks off most interviews and the interviewer is really
looking for a bit about your background. They’re also looking for how do you
communicate. All of these interview questions are a combination of actually
answering the questions and showing your communication skills to the person
that’s interviewing you. With those two questions that I mentioned that you
should be prepared for, I have videos for those as well so I’ll link both of those
in case you want to go into more detail about preparing for those. Those are the
four most common types of data analyst interview questions and answers, how to
prepare and make sure that you really stand out as a strong candidate.
If you want more insights to landing a job which I’m guessing you too if you’re
watching this video I’ve put together a handy guide with all the critical steps
to landing your job. I’ll put a link in the description where you can sign up to
get your free copy. Thank you so much for watching. I can’t wait to see you back
next time to talk more about all things analytics.


  1. Data analyst interviews can be intimidating, but they don't have to be difficult. Learn how to become a data analyst with my new guide:

  2. Your delivery and structure of video is just marvelous… thank you for making this. It’s really helpful and great. Thank you. Thank you. Thank you.

  3. I done the int.. last week and I just get the job 😍 ….. thanks you for all vid about data ana.. and you support .

  4. I have a little (dumb) question here … How can someone call oneself a "data scientist/analyst" ? My case is I am a senior programmer and my company has invested some time ago in a training to learn business object and ETL for me and some co-workers. I've done some data manipulation with theses program, thus as I am not very good with math … I don't feel like being a data scientist. To be honest I mostly just "guess" the numbers and hopefuly the users (the end client) should see if the numbers fit their needs. (sounds bad ?! … I think so too)

  5. mam please make a video series on Interview question . exactly what que are asked in interview . for Ex. SQL question , python que ,stats que, visualisation que. your videos are very helpful for freshers like me. your way of delivering content is awesome. please make one series.

  6. You look so young for being in the industry as long as you have 🙂 Best wishes and thanks for sharing your insights.

  7. Very good info! Good delivery too. I think your background is taking away from the full effect. I suggest something more business-y and less like a home. But thanks for the great info.

  8. i just joined company as a data analyst but i don't use any python,R i just analyze data pattern is it good for future, i feel like "i am doing non technical job"

  9. Thank you for your all your videos. But how to be if I am just doing a first step toward this field. Maybe you have some advices for this kind of people. I will be very appreciated if you help me.

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