I have extensive experience with data visualization tools such as Tableau and Power BI. I've used these tools to create interactive dashboards and reports that help stakeholders understand complex data sets. For example, I developed a dashboard for a retail client that tracked sales performance, inventory levels, and customer feedback, which significantly improved their decision-making process.

Ensuring data accuracy is paramount. I follow a rigorous process that includes data validation, cross-checking sources, and using statistical methods to identify anomalies. I also collaborate closely with data engineers to ensure data integrity from the source. This systematic approach helps me deliver reliable and accurate reports to stakeholders.

Handling large datasets requires efficient strategies. I leverage SQL for data extraction and manipulation, and use Python for data cleaning and preprocessing. I also employ cloud-based solutions like AWS and Google Cloud to manage and analyze data at scale. These tools enable me to handle large volumes of data efficiently and effectively.

I prioritize tasks based on their urgency and impact. I use project management tools like Asana and Trello to track deadlines and milestones. I also communicate regularly with project stakeholders to understand their priorities and adjust my focus accordingly. This approach ensures that critical tasks are addressed promptly while maintaining the quality of all projects.

I developed a complex report for a financial services client that analyzed customer churn patterns. The report integrated multiple data sources and used advanced analytics to identify key factors contributing to churn. The insights from this report led to a targeted retention strategy, which reduced churn by 15% and improved customer satisfaction scores.