Why is data validation important in your work and how do you make sure that you do it?
Data validation can quickly be summed up as 'garbage in equals garbage out.' In essence, any good data analyst needs to ensure that the data they use is functional and relevant to what is being measured so be sure to reiterate that to your interview. Then, explain the ways that you have gone about validating data in the project work that you've done throughout your career. The clients at GHD Group will need to rely on the fact that data is valid and important to the work that you will be doing with them.
"Thoroughness in data analysis is extremely important and an important piece in being as detailed as possible is data validation. My customers are reliant on the fact that data I provide is accurate and a true representation of what we are measuring. To ensure my data is valid, I have written scripts utilizing Python and I have also used the simple steps in Excel even to validate data. While sometimes time consuming, this is a necessary step in any data analysis and is not something that I take lightly."
