The customer segments I created helped to better guide product and UX decisions, resulting in a 30% lift in conversion rate. Result - We found that our real customers weren’t very similar to the average metrics that were being used.But I felt that there was an overreliance on the average, and I decided to cluster customers and better segment them. Action - In the past, many of the marketing decisions had been made based on our average customer.Task - My goal was to understand our customers better to help the sales and marketing team develop more effective UX strategies and promotions to improve conversion rates.Situation - In a previous hospitality job, we noticed our conversion rate was decreasing.Tell me about a time when you used data to solve a problem. This is particularly helpful for outlining past projects and handling experiential questions. With this method, you would first describe the Situation, cover the Task you had to solve, describe the Action you took, and finally, highlight specific Results you achieved. The STAR method is a commonly used framework for behavioral questions. One helpful tip: Consider using a framework to structure your answers. Use specific examples, clearly outline steps you took to solve problems, and describe any lessons or new skills you learned in the past. Specificity is the key to answering data analyst interview questions.
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