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Data Analyst

25 Interview Questions & Answers

Have an upcoming Data Analyst interview? Browse questions below or request one-on-one coaching with an interview expert.
1.
1.
What tools/software do you have experience using in each phase of a data analysis project - from cleaning/preparing data to data exploration to final presentation?
2.
2.
Considering all the phases of data analysis, what tools/software do you feel work the best for you or you feel the most comfortable using and why?
3.
3.
What scripting language have you used in your past projects as a Data Analyst? Which are you most confident using?
4.
4.
Which, if any, certifications have you earned related to your career as a Data Analyst?
5.
5.
Describe your experience creating dashboards. If you have experience, what tools have you used to create them?
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6.
6.
Thinking about the different industries you may have worked in, from a data perspective, which company and industry is most similar to the one in which our company competes?
7.
7.
Tell me about the different types of audiences to whom you've presented. Were these presentations done in person or remotely?
8.
8.
Describe a project where you used both quantitative and qualitative data to conduct your analysis.
9.
9.
In your opinion, what soft skills do you believe to be most important in your role as a Data Analyst and why?
10.
10.
How would you rate your writing skills, and in what ways do you use this form of communication as a Data Analyst?
11.
11.
As a Data Analyst, what skills do you believe are important for working on a team with people with different backgrounds and varying roles and responsibilities?
12.
12.
What experience, if any, do you have with web analytics? If you have experience, what tools have you used?
13.
13.
Why do you think creativity is a good skill for a Data Analyst to have and how have you used it in your career?
14.
14.
There are many analytical tools Data Analysts can include in their toolbox. Excel continues to be a common tool for many. Which Excel functions do you have experience using? Describe in detail how you used Excel for one of your analytical projects.
15.
15.
How many years of SQL programming do you have? In your most recent position as a Data Analyst, for what percentage of your analytical projects did you utilize your SQL skills?
16.
16.
Think of a project where you were working with a relatively large data set. Describe to me the process you had to take to gather and prepare the data for analysis.
17.
17.
Talk about your knowledge of statistics and how you have used this knowledge in your analytical projects.
18.
18.
Working as a Data Analyst gives you a unique perspective on the data and the tools used while working with that data. Is there a time when you recommended a change to any of the data processes or tools used? Did anything result from your recommendation?
19.
19.
Describe a project where the stakeholders' question couldn't be answered due to data limitations. What advice, if any, did you give to the stakeholders?
20.
20.
Querying, cleaning/preparing, analyzing, and presenting/communicating findings - these are some of the main steps in a data analysis project. Of those I just listed, which ONE step do you enjoy completing the most?
21.
21.
Most large companies house their data in multiple data warehouses. Thinking of one of your more complex analytical projects, how many data warehouses did you have to query in order to gather all the data required?
22.
22.
Do you have any experience working with statistical models? If so, please describe in as much detail as possible, the statistical model you worked on and your role in creating it or using it to answer a business question.
23.
23.
Describe to me an analysis project you have worked on where the results were the most surprising to you and/or those involved in the project.
24.
24.
It is likely you will work with stakeholders who may have a limited understanding of data and databases. Describe a time where you found yourself working in a situation such as this - what specific challenges did you face and how did you deal with them?
25.
25.
Can you describe to me the largest data set you have had to work with from a past project? Tell me how many rows/entries and columns/variables the data set included and details on what kind of data was included - financial, marketing, operational, etc.?
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