Bad answer: "I have never really worked with data analysis and interpretation before, but I learn quickly and I'm willing to do whatever it takes to get the job done."
Why it's bad: This answer is not ideal because it highlights a lack of experience and knowledge for the job. It is important to be honest in an interview, but coming to an interview without the required skills for a job can be seen as disrespectful of the interviewer's time and may portray an overall lack of preparation and motivation.
Good answer: "I have worked for three years as a data analyst at XYZ corporation, where I was responsible for collecting and analyzing data, running statistical models and creating visual presentations to communicate the findings. I am well-versed in Excel, SQL, and Python, and have experience with data visualization tools such as Tableau and Power BI. In my most recent project, I was able to identify key trends in customer preferences that helped increase revenue by 20%."
Why it's good: This answer is great because it highlights the candidate's relevant experience, technical skills, and their proven ability to deliver results. The specific example of increasing revenue shows the candidate's impact on business outcomes, which is an important aspect of data analysis and interpretation.
Good answer: "In my previous role as a market researcher, I was responsible for analyzing data from consumer surveys and conducting focus groups to uncover insights about customer behavior. I would present these findings to stakeholders using tools such as PowerPoint and Google Slides. Although I may not have experience with technical languages like Python or SQL, I have developed a keen sense of finding patterns in data that can be useful for key business decisions."
Why it's good: This answer is good because it highlights how the candidate may not have the same technical skills as others, but they have a unique experience that can offer alternative perspectives. Sometimes, being able to read between the lines on data and visually communicate the nuances of the findings can be just as important as running complex statistical analyses.
Bad answer: "I can do data analysis. I'm good with numbers, and I can create charts and graphs in Excel."
Why it's bad: This answer is not great as it lacks specificity on the candidate's experience and skills. The interviewer may want to know how the candidate has used these technical skills and what value they bring to the job. It is important to provide concrete examples of how one uses these skills to analyze data.