In my previous role, I was tasked with analyzing sales data from multiple regions to identify trends and recommend a new marketing strategy. I used pivot tables and data visualization tools to identify that one region had significantly lower sales despite similar marketing efforts. Based on this analysis, I recommended a targeted campaign focusing on customer engagement in that region, which led to a 15% increase in sales.

I prioritize tasks by assessing the urgency and impact of each project. I use a combination of the Eisenhower Matrix and daily to-do lists to categorize tasks into urgent/important, important/not urgent, urgent/not important, and neither. This helps me focus on high-impact tasks first while ensuring that less urgent but important tasks are not overlooked.

I am proficient in Excel for data manipulation and visualization, SQL for database querying, and Python for more complex data analysis tasks. Additionally, I have experience with Tableau for creating interactive dashboards and R for statistical analysis. These tools allow me to efficiently handle and interpret data for actionable insights.

I ensure accuracy by following a rigorous process of data validation and cross-checking. This includes double-checking formulas, verifying data sources, and conducting sensitivity analyses to understand the impact of potential errors. I also collaborate with colleagues to review and validate findings, ensuring that my analysis is robust and reliable.

I have experience presenting complex data in a clear and concise manner to non-technical stakeholders. I use storytelling techniques to frame the data within a business context, making it relatable and actionable. Visual aids such as charts and infographics are key to simplifying the message, and I always ensure to address any questions or concerns comprehensively to build trust and understanding.