Role context | Behavioral interview questions | Sample answer | Technical interview questions | Sample answer
If you’re looking to break into the data analytics field, you’re in luck—data analysts are in high demand and paid well. The job interview can be intimidating, especially with the high competition for these roles. But we’re here to help!
In this deep dive we’ll go over how you can prepare for a data analyst job interview and common questions to expect.
It’s important to understand your role and responsibilities before going into the interview. A data analyst collects, cleans, and interprets datasets to answer a question. As technology becomes core to any business, data analyst roles are opening in any industry—from public sectors to business to criminal justice. The most popular industries include business intelligence, finance, and healthcare.
There are tons of openings for new grad and entry level data analyst roles. We’ve compiled a few:
There’s no one path to a data analyst career. We can break preparation down into three main parts:
These questions show up earlier in an interview and ask about you and your data analyst background.
Below, is an answer to one of the behavioral interview questions that we highlighted above.
“Growing up, I’ve always liked working with numbers and finding patterns in the world around me. I realized I also like to tell stories with data, to fit together puzzle pieces and answer a question. In my undergrad, I worked with the local government to examine census data and see the impact of different socioeconomic factors on voting outcomes. By identifying which factors had the biggest impact on how people voted, my work shaped future policies and impacted the community for the better. Seeing the live impact of my data analysis inspired me to continue down this career path, in order to answer key questions and extract meaning that can help others. As a data analyst I hope to expand my technical skills in Python and R, and practice applying the interpretations of my results.”
These questions test for skills you may use on the job and evaluate your technical competency. They could also test your understanding of statistics or programming skills listed on your resume.
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Below, is an answer to one of the technical interview questions that we highlighted above.
“Through classes and side projects, I’ve worked with different programming languages. I’ve used Python and R to analyze datasets and graph visualizations. And I’ve used SQL before when working with databases.
For example, when I was working with population data with my local government, I used Python and libraries like Pandas and Numpy to clean my datasets. I used matplotlib to visualize relationships between different inputs and outputs. And finally, I used packages like scikit learn to perform linear and logistic regressions on my data and predict outcomes based on different socioeconomic factors.”
Now that you have an idea what an interview will look like, it’s time to start practicing. To check out more interview questions, brush up on core concepts, and practice your SQL skills with real datasets, check out RocketBlocks' Analytics Interview Prep.
Real interview questions. For product analyst, data analyst and data science roles at top tech companies. Practice cases using real data sets.