Tasks include:
Data Cleaning & Preparation: Remove duplicates, handle missing values, and structure the dataset.
Data Analysis: Use Excel, SQL, or Python to uncover insights such as top-selling products, seasonal trends, and customer behavior.
Reporting & Visualization: Create clear and interactive dashboards (Power BI or Excel) with key KPIs for easy decision-making.
Recommendations: Provide actionable insights to improve sales performance and optimize strategies.