Why do you think creativity is a good skill for a data analyst, and if so, how have you used it in your career?
When considering a data analyst's skills, creativity is not top of mind for many. Instead, plenty of people would consider technical and math or statistical skills to be at the top of the list. However, data analysts use their creativity in various ways, including developing analytical plans, finding solutions to data issues, and presenting data visually. Creativity is about 'thinking outside the box.' Be prepared to share in more detail how you used your creativity for a specific project.
"As a data analyst, there is no question that creativity is an important skill to have. Creativity is what has gotten me past the data roadblocks in past projects. It has also helped me find new and interesting ways to present analytical results to clients. More specifically, I find that creativity is important when validating data before analyzing it. There have been a few times when I began analyzing data only to find there were some 'abnormal' results. I stepped back and created new and 'non-routine' data checks in order to identify issues causing the atypical results."
You'll note that this is a two-part question. One of the most important skills you can use during an interview is active listening. Make sure you listen carefully to the interviewer's question and allow them to finish before you begin to formulate your answer. Interviewers are not only interested in your answers to the questions, but they want to make sure that you answer each part of the question. This demonstrates your attention to detail and ability to communicate effectively.
