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E-commerce Operational Analytics — Case Study

Role: Data & Operations Analyst (Personal Project)

Tools: SQL, SQLite, Power BI, Excel

E-commerce Operational Analytics Dashboard

Business Question

The goal of this project was to understand how an e-commerce business is performing across revenue, repeat purchasing, and fulfillment efficiency. I wanted to answer questions such as: Which customers drive the most value? How often do customers return? Where are there bottlenecks in the order and shipping process?

Data & Modeling

I started with a raw e-commerce dataset containing orders, customers, products, and shipping details. I cleaned and standardized the data, then designed a relational schema and loaded everything into a SQLite database using SQL.

The core tables included:

Analysis & KPIs

Using SQL, I calculated and explored a series of metrics to understand performance, then brought the most important ones into Power BI as KPIs and visuals:

These metrics were then visualized in Power BI to make trends, seasonality, and bottlenecks easy to interpret.

Key Insights

Outcome

This project demonstrates my ability to design a database from raw data, write SQL to generate meaningful KPIs, and turn those into clear operational insights for an e-commerce business. It mirrors the type of performance reporting and process-improvement analysis I’d deliver in an operations or business analyst role.

View the full project on GitHub: Ecommerce-Operations-Analytics