Power BI Flipkart Sales Analysis Dashboard
Budget: ₹600 – ₹1,500 INR
I have a large, raw Flipkart sales export that needs to be turned into a polished, insight-rich Power BI dashboard. The core story I want told is product performance—specifically which items are driving the most revenue, which are lagging, and how return rates are affecting overall profitability.
Beyond that focal point, the model should still let me glance at revenue trends, customer-purchase patterns, seller distribution and the impact of discounts, but competitor benchmarking is not required this time.
Your work starts with data shaping in Power Query, progresses to a well-structured star schema, and ends with elegant, drill-through visuals built in Power BI Desktop. I rely heavily on DAX measures, so clear, well-named calculations are essential.
Deliverables
• Cleaned and documented data model (PBIX)
• Interactive report pages for: top-selling products, low-performing products and product return rates
• Supplementary views for revenue trend, customer behaviour, seller split and discount effect
• A brief walkthrough or README explaining transformations and key measures
If you have a portfolio piece that shows similar retail analysis, share it so I can see how you present complex insights with clarity.
Beyond that focal point, the model should still let me glance at revenue trends, customer-purchase patterns, seller distribution and the impact of discounts, but competitor benchmarking is not required this time.
Your work starts with data shaping in Power Query, progresses to a well-structured star schema, and ends with elegant, drill-through visuals built in Power BI Desktop. I rely heavily on DAX measures, so clear, well-named calculations are essential.
Deliverables
• Cleaned and documented data model (PBIX)
• Interactive report pages for: top-selling products, low-performing products and product return rates
• Supplementary views for revenue trend, customer behaviour, seller split and discount effect
• A brief walkthrough or README explaining transformations and key measures
If you have a portfolio piece that shows similar retail analysis, share it so I can see how you present complex insights with clarity.