Top Data Analyst Interview Questions with Example Answers [2020]

Prepare for your Data Analyst interview by going through these most asked Data Analyst interview questions. Additionally, get access to sample answers and interviewer's expectations.

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  • Question: What are your strengths?
  • Question Overview: This is a classic question that lets you assess how well candidates communicate. It also gives you insight into their self-awareness.

    Sample Answer: I'm a good communicator. I can explain complex topics in a way that people can understand. I'm also very organized and detail-oriented. I'm good at spotting patterns and trends.

      What the interviewer is looking for:
    • - Ability to speak about strengths
    • - Ability to speak about weaknesses
    • - Mention of soft skills

  • Question: What do you think you need to improve?
  • Question Overview: This is a question that is often asked at the end of an interview. It gives you a chance to see how well candidates think on their feet and how they handle criticism.

    Sample Answer: I'm not as good at communicating with people as I'd like to be. I'm more comfortable with numbers and analysis. I know that's an important part of this job, so I'm working on it.

      What the interviewer is looking for:
    • - Ability to take criticism
    • - Ability to self-evaluate
    • - Ability to think on feet

  • Question: What is your opinion on current economic policy?
  • Question Overview: This question is designed to see how candidates react to a controversial topic. It can also be used to see how well they understand the economy.

    Sample Answer: I think the current economic policy is good because it has helped the economy grow and has created jobs. I think it could be improved by lowering taxes on small businesses and individuals.

      What the interviewer is looking for:
    • - Candidates' opinions
    • - Candidates' ability to defend opinions
    • - Candidates' ability to explain why they have those opinions

  • Question: Where do you see yourself in 5 years from now?
  • Question Overview: This question is a classic and is asked of every candidate. It is a way to see if candidates are realistic about their career goals and if they have a plan to get there.

    Sample Answer: I see myself as a data analyst in a growing company. I'd like to be able to work on more complex projects and have more opportunities for advancement.

      What the interviewer is looking for:
    • - Career goals
    • - Plans to achieve those goals
    • - How the job fits into those plans

  • Question: Why do you think you are suitable for this job?
  • Question Overview: This question is a classic. It lets you see how well candidates sell themselves and how well they know the job.

    Sample Answer: I have a lot of experience in data analysis and I'm very familiar with the software you use. I've worked on projects similar to this one, and I know how to work with people. I'm also very good at finding patterns in data and communicating my results.

      What the interviewer is looking for:
    • - Ability to sell self
    • - Knowledge of job
    • - Ability to speak with confidence

  • Question: Can you tell me about yourself?
  • Question Overview: This is a classic interview question that gives you insight into how candidates present themselves. You want to hire someone who can sell themselves and who can be a good representative of your company.

    Sample Answer: I'm a data analyst with a background in mathematics and computer science. I'm a quick learner and have a knack for spotting patterns. I'm also very organized and detail-oriented.

      What the interviewer is looking for:
    • - Ability to speak about strengths
    • - Ability to speak about weaknesses
    • - Ability to speak about accomplishments

  • Question: How will you define an array?
  • Question Overview: This question tests how well candidates understand basic data structures. It also gives you insight into how they think.

    Sample Answer: An array is a collection of data elements that have the same data type and are stored contiguously in memory.

      What the interviewer is looking for:
    • - Correct definition
    • - Ability to explain why it is correct
    • - Ability to explain why other definitions are incorrect

  • Question: If a online shop is deciding to purchase or not purchase the BloomReach site search service, how would you help them to decide?
  • Question Overview: This question is similar to the previous one, but it is more specific. It also tests your ability to think on your feet.

    Sample Answer: I would look at the data on how many people use the site search and what they are searching for. I'd also look at the data on how many people use BloomReach and how much they are paying for it. I'd also look at the data on how many people use other site search services and how much they are paying for them.

      What the interviewer is looking for:
    • - Ability to identify variables/data segments
    • - Ability to communicate thought process
    • - Creativit

  • Question: Why do you want to work for us?
  • Question Overview: This question is a classic. It's a good way to see if candidates are familiar with the company and if they have done any research on the company.

    Sample Answer: I've been impressed with your company's commitment to the environment and sustainability. I think it's important for companies to be socially responsible. I'm also impressed with your commitment to employee training and development. I want to work for a company that values its employees.

      What the interviewer is looking for:
    • - Knowledge of company
    • - Ability to communicate why they want to work for you
    • - Knowledge of company's products/services

  • Question: What do you know about SQL?
  • Question Overview: This question is a good way to gauge a candidate's technical skills.

    Sample Answer: I know how to create tables and how to use them in queries. I also know how to create indexes and how to use them in queries.

      What the interviewer is looking for:
    • - Basic knowledge of SQL
    • - Knowledge of how to use SQL
    • - Knowledge of how to use SQL to solve problems