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Fintech data analysts must validate the accuracy, consistency, and clarity of their data at the onset of a project in order to mitigate incorrectly drawn conclusions later on. The interviewer is testing your knowledge around data verification, including how it's performed and why one needs to do it in the first place. Talk them through how you typically validate your data and why you do it.
"I always validate my data because I know that imperfect, unvalidated data will likely lead to flawed business decisions down the line. And not only do I make sure to verify the data inputs and values themselves, but I also validate the data model so I don't run into issues later on using my data files in various applications and programs. I typically use validation rules that check for consistency around data type, range, uniqueness, consistent expressions, and null values, in addition to formatting rules that validate the structure of my data. "
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Written by Marcie Wilmot
30 Questions & Answers • Fintech Data Analyst
By Marcie
By Marcie