Can you describe a situation where you used data analysis techniques to solve a complex problem?

This question is trying to understand your practical experience and skills in data analysis. It's asking you to provide a real instance from your work history that demonstrates your ability to use data analysis techniques to solve a complex problem. Key elements to include in the answer are: the context of the problem, the specific data analysis techniques you used, how you applied them to solve the problem and the results or outcome of your actions.

In my previous role as a financial analyst at ZYX Corporation, we were faced with a significant decline in sales over six months. It wasn't clear why, and we were tasked to figure it out. I initiated a comprehensive data analysis utilizing time-series analysis and outlier detection to identify patterns and anomalies in our sales data. By investigating the outliers, I found out that the substantial sales drop was closely linked to the price hike of our top-selling product, which coincided with the start of the decline period. I presented my findings, backed by the data and analysis, to the management team. As a result, they adjusted the pricing strategy, leading to a recovery in sales figures by 15% in the following quarter.

During my tenure as a Data Scientist at ABC Company, we were struggling with high customer churn in our subscription-based services. I initiated a project to identify the main drivers for customer dropout using predictive modeling. First, I gathered the customer data, which included demographics, usage patterns, feedback, and churn status. Using a logistic regression model, I identified several key factors - such as low usage and specific demographic profiles - as significant predictors of churn. Armed with this insight, we developed targeted retention strategies, focusing on at-risk customer segments identified by the model. This led to a 20% reduction in customer churn over the next six months.