Price: $50 Time estimate: 2 - 3 hours We are looking for help building a Power BI dashboard using our sales data exported from our point-of-sale system. We're a retail chain with stores in multiple U.S. regions, and we want to track sales performance across states, product categories, and time periods. This dashboard will serve as a template for future analysis. The data is currently in csv format, and we’d like to see visuals for monthly revenue by state, top-performing categories, and regional sales comparisons. Looking for someone who knows how to structure the data correctly, create a useful and dynamic dashboard in Power BI. Deliverables: 1- A PowerBI file (.pbix) that contains a one page dashboard The dashboard should contain at least 3 visuals to plot: - Revenue by State (top 5) - Monthly Category Trends (top 5) - Average Order Value by State 2- A PDF file with explanation on how the dashboard was created - Explain if data was cleaned, or transformed - Any particular observations, such as outliers, etc - Explanation if DAX formulas, or if measures, columns or filters were created Ideal Skills: - Proficiency in Power BI - Experience working with retail or sales data - Strong DAX knowledge for KPIs and calculations - Ability to simplify data into clear and engaging visuals Skills Required Data Visualization | Excel | Power BI | Retail Analytics | DAX | Data Cleaning | Financial Analysis | Reporting Downloadable dataset: https://github.com/taloc/sample_sales_data/blob/main/Sample_sales_data.csv To download the sales order file from GitHub: - You may see: “Sorry about that, but we can’t show files that are this big right now.” but don’t worry the data is there. - Click the download raw file button in the upper-right corner of the file preview. - Choose a save location on your device and click "Save."