Amazon Sales Analytics Dashboard | Power BI Just completed another Power BI project focused on Amazon Sales Performance & Revenue Analysis. I worked with sales data to understand overall business performance across different areas such as: • Payment Method • Order Status • Country • Product Category • Discount • Total Orders & Customers • Total Revenue & Quantity • Yearly & Monthly Revenue Trends The dashboard includes KPIs, interactive slicers, charts, and detailed visualizations to make sales data easier to understand and analyze. 🛠️ Tools Used: Power BI | Power Query | DAX | Data Cleaning | Data Visualization This project helped me improve my skills in sales analytics, dashboard development, data visualization, and business insights. More projects coming soon. 🚀 #PowerBI #DataAnalytics #DataAnalyst #SalesAnalytics #AmazonSales #PowerQuery #DAX #DataVisualization #BusinessIntelligence #Dashboard #DataAnalyticsProject

See exactly what’s driving revenue, where growth is leaking, and which products, channels, and customers deserve more investment.

I developed an e-commerce growth intelligence system around one question:

Where should the business invest next?

Most stores already have plenty of data. The harder problem is understanding what that data means for revenue, marketing spend, products, and customer growth.

So instead of building another dashboard full of charts, I’m structuring the system around decisions.

It brings together signals such as revenue, ROAS, CAC, conversion, product performance, repeat purchases, and retention to identify things like:

which channels deserve more budget, where acquisition is becoming inefficient, which products attract traffic but fail to convert, and where repeat customers are creating stronger value.

The goal isn’t just to answer:

“What happened?”

It’s to answer:

“What should we do next?”

Because the most useful analytics system isn’t the one with the most charts.

It’s the one that makes the next business decision clearer.

Tags: E-Commerce · Marketing Analytics · Data Analytics · Power BI · E-commerce Management

Exactly. Analytics becomes much more valuable when it helps businesses make smarter decisions, not just track numbers.