Morningstar Data Analyst Mock Interview
Practice 40 Morningstar Data Analyst interview questions covering financial data, SQL proficiency, and investment research fundamentals.
Question 2 of 40
Can you describe the largest data set you had to work with from a past project? How many rows/entries and columns/variables did the data set include, and what kind of data was included—financial, marketing, operational, etc.?
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Helen Lee is a freelance data analyst and writer. She has over 15 years of marketing experience working for companies and clients in financial services, quick-service restaurants (QSR), consumer packaged goods (CPG), and education technology.
Many hiring managers look for data analysts who can deal with massive data sets with a large number of variables and rows. This requires skills such as organization and the ability to see both the big picture and the details of a project. Morningstar hiring managers will look for these skills in data analysts.
Helen Lee is a freelance data analyst and writer. She has over 15 years of marketing experience working for companies and clients in financial services, quick-service restaurants (QSR), consumer packaged goods (CPG), and education technology.
"The largest data set I worked with was built for a corporate strategy project that required the combined efforts of various departments. This data set had over a million records and 500-600 variables. Included in this data set were marketing and operational data that was eventually loaded into an analytical tool for exploratory analysis. Is this similar to the data sets I will be working with here at Morningstar?"
William Swansen has worked in the employment assistance realm since 2007. He is an author, job search strategist, and career advisor who helps individuals worldwide and in various professions to find their ideal careers.
This question is relatively straightforward, and you should not feel compelled to review details about the background of the project and any processes you might have gone through. The Morningstar interviewer is interested in the size and type of data when asking questions like this. Your answer gives them an idea of the scope of projects you have experience with and are comfortable working on.
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