In my previous role, I was tasked with analyzing quarterly sales data to identify trends in customer purchasing behavior. By using pivot tables and visualizations in Excel, I discovered a significant increase in sales of a particular product line during the summer months. This insight led to targeted marketing campaigns and inventory adjustments, resulting in a 15% increase in sales for that product line.

I prioritize tasks based on their impact on the business and their deadlines. For instance, if a project is critical for an upcoming board meeting, I would allocate more time and resources to ensure it is completed accurately and on time. I also use project management tools like Trello to track progress and ensure that no task is overlooked.

I am proficient in Excel for data manipulation and visualization, SQL for querying databases, and Tableau for creating interactive dashboards. Additionally, I have experience with CRM systems like Salesforce, which are essential for extracting and analyzing customer data.

Forecasting future sales involves analyzing historical sales data, identifying trends, and applying statistical methods like regression analysis. For example, if sales have been steadily increasing over the past few quarters, I would use this trend to project future sales. I would also consider external factors like market conditions and seasonal variations to refine the forecast.

I simplify complex data by focusing on key insights and using visual aids like charts and graphs. For example, instead of presenting raw data, I would highlight the top-selling products and their growth rates. I also use storytelling to make the data more relatable, explaining how the insights can drive business decisions and improve sales performance.