MockQuestions

Data Analyst Mock Interview

To help you prepare for your Data Analyst interview, here are 40 interview questions and answer examples.

Data Analyst was updated by on June 13th, 2022. Learn more here.

Question 1 of 40

Can you recall a time your manager was unavailable when a situation arose that demanded an immediate resolution? How did you react?

"Recently, my manager was away on vacation and I was asked to fill in for them. A conflict arose between our team and another department that demanded an immediate resolution. The manager from the other department insisted we do what they wanted since our manager was not available. Knowing this was not the best solution, I presented an alternative and recommended that we discuss this with the senior leadership team to get their input. The other manager agreed. Working with senior leaders, we developed a compromise that resolved the conflict. When my manager returned from vacation, I briefed them on the incident, and they agreed I had acted appropriately."

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40 Data Analyst Interview Questions & Answers

Below is a list of our Data Analyst interview questions. Click on any interview question to view our answer advice and answer examples. You may view 10 answer examples before our paywall loads. Afterwards, you'll be asked to upgrade to view the rest of our answers.

  • Behavioral

    1. Can you recall a time your manager was unavailable when a situation arose that demanded an immediate resolution? How did you react?

  • Behavioral

    2. It is likely you will work with stakeholders who may have a limited understanding of data and databases. Describe a time when you found yourself working in a situation such as this—what specific challenges did you face and how did you deal with them?

  • Behavioral

    3. Describe an analysis project you have worked on where the results were the most surprising to you and those involved in the project.

  • Behavioral

    4. Tell me about a difficult decision you had to make in one of your previous roles.

  • Behavioral

    5. Can you give me an example of a time you led by example and describe what you did and how your team reacted?

  • Behavioral

    6. Describe a situation where you needed to persuade someone about an idea or process.

  • Behavioral

    7. Describe a project where the stakeholders' questions couldn't be answered due to data limitations. What advice, if any, did you give to the stakeholders?

  • Behavioral

    8. 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?

  • Behavioral

    9. Please tell me about a time when something major didn't go according to plan at work.

  • Behavioral

    10. Can you give me an example of when you had to work with someone difficult to get along with? How did you handle the situation?

  • Behavioral

    11. Can you recall a time you were assigned a task that wasn't a part of your job description? How did you handle this, and what was the outcome?

  • Discovery

    12. In your opinion, what soft skills do you believe to be most important in your role as a data analyst and why?

  • Discovery

    13. 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.?

  • Discovery

    14. Which, if any, certifications have you earned related to your career as a data analyst?

  • Discovery

    15. Tell me about an aspect of your profession that makes you the most satisfied, energized, and productive at work.

  • Discovery

    16. When was the last occasion you asked for direct feedback from your manager?

  • Discovery

    17. Why did you choose to interview with our organization rather than with others in our industry?

  • Discovery

    18. Querying, cleaning/preparing, analyzing, presenting, and communicating findings 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?

  • Operational

    19. Can you briefly explain your primary responsibilities as a data analyst?

  • Operational

    20. 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.

  • Operational

    21. What tools/software do you have experience using in each phase of a data analysis project—from cleaning/preparing data to data exploration to the final presentation?

  • Operational

    22. Considering all the phases of data analysis, what tools/software do you feel work the best for you or do you feel the most comfortable using and why?

  • Operational

    23. 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.

  • Operational

    24. 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 to gather all the required data?

  • Operational

    25. Talk about your knowledge of statistics and how you have used this knowledge in your analytical projects.

  • Operational

    26. What scripting language have you used in your past projects as a data analyst? Which are you most confident using?

  • Operational

    27. 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?

  • Operational

    28. 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.

  • Operational

    29. What are the common steps you take when beginning a new data analysis project?

  • Operational

    30. 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?

  • Operational

    31. How would you remove the data in a single cell without affecting the formatting when working with an Excel spreadsheet?

  • Operational

    32. And how do you deal with inconsistencies in your data?

  • Operational

    33. Why do you think creativity is a good skill for a data analyst, and if so, how have you used it in your career?

  • Operational

    34. Describe your experience creating dashboards. If you have experience, what tools have you used to create them?

  • Operational

    35. Thinking about the different industries you may have worked in, from a data perspective, which industry is most similar to the one in which our company competes?

  • Operational

    36. Tell me about the different types of audiences to whom you've presented. Were these presentations done in person or remotely?

  • Operational

    37. Describe a project in which quantitative and qualitative data were used to conduct your analysis.

  • Operational

    38. What experience, if any, do you have with web analytics? If you have experience, what tools have you used?

  • Operational

    39. How would you rate your writing skills, and in what ways do you use this form of communication as a data analyst?

  • Technical

    40. Can you explain the difference between data mining and data profiling?