Retail Sales SQL Portfolio

Built by Dayron • Warehouse flow: Bronze → Silver → Gold gold.fact_salesgold.dim_customersgold.dim_products

About & Contact

I build practical, business-focused analytics. This project shows how I stand up a SQL warehouse (bronze→silver→gold), validate the load, and answer real questions with concise queries and clear insights.

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Key Results (from my run)

Total Sales
$29,356,250
Unique Customers
18,484
Date Coverage
2010-12-29 → 2014-01-28
Top Category Share
Bikes 96.46%

Monthly Sales Trend

My take: clear holiday seasonality with peaks in Nov–Dec each year.

Cumulative Sales (Running Total)

My take: steady accumulation with a visible Q4 acceleration.

Category Share

My finding: highly concentrated — Bikes ≈ 96.46%, Accessories 2.39%, Clothing 1.16%.

Top Products by Revenue

Top Customers (Lifetime Value)

My finding: Top 10 customers ≈ $13k LTV each with ~5–6 orders; top 20 ≈ 0.83% of revenue (broad customer base).

Repository & Notes

github.com/dayronknows/sql-retail-analytics