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Fintech data analysts work with and manipulate data in many different ways. The interviewer wants to make sure that you know the difference between data profiling - which involves assessing any flaws in your data - and data mining - which refers to looking for patterns and trends within cleansed data. If possible, give examples of times when you've profiled or mined data.
"To me, I associate data profiling with cleansing the data. It is the step that I take before I clean my data. In other words, first I search for any consistency or logic errors in my data (that is, profile the data), and then I remove those flaws (that is, cleanse my data). Data mining, on the other hand, is something that comes toward the end of the process, whereby I look at the data in search of anomalies, patterns, and correlations that allow me to draw useful conclusions I can then share with my manager."
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Written by Marcie Wilmot
30 Questions & Answers • Fintech Data Analyst
By Marcie
By Marcie