Rapid Fire on Data Analytics

There is no right or wrong answer to this question necessarily, but it’s good to be prepared for the possibility of this question coming up. Being an analytical thinker and good problem solver is two examples of answers you could use for this type of question. As mentioned earlier, these data analyst interview questions are … Read more

If you already have experience as a data analyst, this can be easier to answer: explain why you love working as a data analyst and why you want to continue. As a new data analyst, this question can catch you off-guard, but be prepared with an honest answer as to why you want to work … Read more

Another must-know term for any data analyst, the outlier (whether multivariate or univariate), refers to a distant value that deviates from a sample’s pattern. In data analytics, an outlier refers to a data point or observation that significantly differs from other observations in a dataset. Outliers can occur due to various reasons such as measurement … Read more

Shown in a box plot, the interquartile range is the difference between the lower and upper quartile, and is a measure of the dispersion of data. If you’re interviewing for a data analyst job, it’s important to be prepared with a similar answer and to answer confidently. The interquartile range (IQR) is a measure of … Read more

You should easily be able to demonstrate to your interviewer that you know and understand these steps, so be prepared for this question if you are asked. Be sure to not only answer with the two different steps—data validation and data verification—but also how they are performed. During the data validation process in data analytics, … Read more