In my previous role, I was tasked with analyzing sales data to improve our marketing strategies. We had a large dataset containing customer purchase histories, demographics, and engagement metrics. I started by cleaning the data to ensure accuracy, removing duplicates, and filling in missing values. Then, I used Google Sheets to create pivot tables and charts to identify trends and patterns. One key insight was that a significant portion of our sales came from repeat customers who engaged with our email campaigns. Based on this, I recommended increasing our investment in email marketing and personalizing content to enhance customer retention. This strategy led to a 15% increase in repeat purchases over the next quarter, demonstrating the value of data-driven decision-making.