Most common job interview questions for Data Analysts

When I was transitioning into the data analysis job the next step for me was to get into a good company where my work gets valued and I was growing too. But for each person what they are searching for in a job is different and it’s imperative to know that what companies are looking for can also be different from what we have perceived.

In this article, I am going to list down some of the most common questions and what I have answered (or answered differently). These questions are relevant for people starting or switching jobs in data analysis.

What are your roles and responsibilities?

I am listing a few of my responsibilities which I start with whenever this question gets asked :

1. Develop dashboards for measuring KPIs, and OKRs and helped in measuring product feature releases.
2. Work with Product (PMs)and Engineering teams for different hypotheses (experiments)
3. Work with the product strategy team for exploring new markets

Tell me a project which you are proud of or that was impactful?

In this section, I have always tried to explain the projects where I have worked end to end even if they were not that much impactful. Because this question often leads to other multiple questions.

I have been able to successfully explain projects where I used data science for prescriptive analysis or diagnostic analysis using SQL.

Usually explaining a project goes like this :

1. starting with the problem statement
2. convert it into a data problem
3. collection, cleaning and analysis
4. recommendation/analysis deck

Please try to restrain yourself from using jargon that you are not sure of and maintain a collaborative tone.

How will you go about creating a tracking plan for new product releases?

In the following article, I have explained what is data tracking plan for a new product release is and how to create an exhaustive tracking plan

How to Measure Adoption of new Product-feature release

Event-Tracking plan for measuring adoption of the feature release.

Can you explain the product analytics framework?

I have adapted this template for explaining the framework where our North-Star metric is supported by different levels of metrics.

This can be taken into consideration when creating roadmaps and defining OKRs.

How do you go about hypothesis testing and analysing the results?

Also on different accounts, I have been asked questions around stats like :

1. What is the p-value?
2. How do you define a hypothesis?

In the following article, I have explained all of these things in detail:

Understanding tests in statistics, everyone should know this

Understanding all these questions and framing your answers as per your work experience and capabilities will help you in preparing for the job interviews.

Thanks! :)