So you’re looking for an entry-level data analyst job. Data analytics is now one of the most popular careers that also has a high demand for roles and high salaries, but that also means there will be plenty of competition for entry-level data analyst positions. In this guide, you’ll learn how to prepare for common entry-level data analyst interview questions.

Entry-Level Data Analyst Interview Questions

Why do you want to be a data analyst?

Although this question seems very broad, your answer should be specific to the job you’re applying to. A good way to answer is to describe some part of the company’s operations and explain why you want to be a part of that. This shows a high level of interest in that company. Check out the company’s website, social media, and press releases to find out the company’s latest news and activities.

Sample answer: I’ve been following the company’s developments in machine learning algorithms applied to embedded finance security solutions. Embedded banking and finance is an emerging trend, and I would love the opportunity to collaborate on these projects and to learn more about how data analytics helps companies build their strategies.

Which data analyst software are you trained in?

The interviewer is not just assessing the depth of your data analytics skillset here but is also assessing your learning patterns. When answering this question, in particular, show the interviewer your capacity to learn quickly and apply that learning.

Sample answer: I recently earned a SQL certification online in my spare time. Once certified, I led a project team in an analysis that led to unexpected insights and changed the company’s new product strategy.

Entry-Level Data Analyst Interview Questions

Walk me through your portfolio. Can you explain your most successful/most challenging data analysis project?

This question is a great opportunity to showcase why you are suited for the job. Describe a situation where you excelled. For example, perhaps you were asked to be a team leader by your peers. One method to use to structure your response to behavioral questions is to use the STAR method.

STAR stands for Situation (the context), Task (the problem), Action (what you did to solve the problem, and Result (the outcome). Your answer should include all of those components.

Sample answer: For the last two projects, I was nominated as team leader (Situation). The last project was complex, and the team wasn’t quite sure how to approach it. We had to take a legacy solution and break it down to determine what components were of most value to the user (Task). I asked the team to suggest ways to attack it (Action). I led brainstorming sessions and we changed our approach a couple of times to better understand the data. We are currently re-developing the product based on our analysis (Result).

Entry-Level Data Analyst Interview Questions

There is no way to know exactly what entry-level data analyst interview questions will come up in your interview. However, its recommended to research to help you to understand the company, its culture, the type of person they are looking for, and what skills are of most value. That way, you can plan what scenarios you will use and what to include in your answers.

Data analytics is a growing field, with attractive starting salaries for entry-level data analysts. If you’re reading this article in anticipation of transitioning to a career as a data analyst, learn more about our data analytics courses HERE!