American Family Insurance Data Analyst interview questions

Question: How would you approach cleaning and preprocessing a dataset with missing values? Answer: I would start by assessing the extent of missing data, then employ techniques like imputation or removal based on the nature of the data and analysis goals. Rigorous validation and documentation would follow. Question: Explain the concept of outlier detection. How would you handle outliers in a dataset? Answer: Outlier detection involves identifying data points significantly different from others. Handling outliers depends on the context; it could involve transformation, removal, or applying robust statistical methods to minimize their impact on analysis. Question: Describe a scenario where you used data visualization to communicate complex findings. Which tools did you use, and why? Answer: In a marketing analysis, I utilized Tableau to create interactive dashboards visualizing customer behavior trends. This aided stakeholders in comprehending insights easily, facilitating informed decision-making.