Portfolio Projects/Ecommerce Sales Analysis with SQL
100% Free ProjectJunior Data Analyst · Core Skillbeginner · ~6 Hours

Ecommerce Sales Analysis with SQL

Your first real data analytics project. You'll be handed credentials to a live ecommerce database and three open-ended business questions. Your deliverable is a public GitHub repository: SQL files, written findings, and a portfolio-ready README. Single toolchain: VS Code + SQLTools + Git. No prescribed JOIN paths, no answer keys — just real analytical work with feedback at each checkpoint.

DatabasePostgreSQL
ToolchainVS Code (SQLTools)
Milestones5 Guided Stages
Recruiter OutputVerified GitHub Repo
View 5 Milestones
Project Deliverables

What You Will Ship to GitHub

Hiring managers don't want to see another cookie-cutter Titanic or Iris tutorial. You will build a professional repository with modular scripts and executive business memos that demonstrate commercial analytical maturity.

github.com/your-username/ecommerce-sales-analysis-sqlPortfolio Structure
├── sql/
01_exploratory_profiling.sql // Schema audits, table volume, date ranges
02_revenue_trends.sql // Monthly GMV, order volume & AOV evolution
03_customer_concentration.sql // Pareto 80/20 distribution, repeat buyer cohorts
├── findings/
00_executive_summary.md // 3 core business takeaways for executive stakeholders
01_business_health.md // Detailed breakdown of margins, cancellations, and seasonality
03_customer_segments.md // Customer lifetime spend & cohort concentration
├── README.md // Professional project front-door with data schema diagram
Outcomes

What You Will Master

Approach an unfamiliar database the way a working analyst does
Translate vague business questions into concrete, performant SQL
Communicate analytical findings to non-technical stakeholders in Markdown
Leverage AI responsibly to sharpen executive narratives while authoring 100% of your SQL
Ship a polished GitHub repo as your first portfolio piece
Get used to receiving and acting on review feedback
Curriculum

5 Guided Project Milestones

M1

Set up your project repo

Before any analytical work: create a public GitHub repository, push the standard skeleton, and paste the URL into your workspace.

~30 mins
M2

Get the lay of the land

You've just joined an ecommerce company as their first data analyst. Your CTO wants to know what's actually in the database.

~90 mins
M3

How healthy is this business?

Core Milestone

The CTO read your one-pager. Now they need a board-ready story on revenue, AOV, and growth.

~90 mins
M4

Who are our customers and how do they shop?

Marketing wants segments. You define them, with evidence.

~90 mins
M5

Pull it together for your portfolio

Curate three milestones into one coherent story a recruiter can read in five minutes.

~60 mins
Career Value

ATS Keywords & Resume Ready Bullets

Tools
PostgreSQLSQLVS CodeSQLToolsGitGitHub
Methods
CTEsJOINsGROUP BYWindow functionsAggregationsTime-bucketed analysis
Business Concepts
Revenue analysisAOV (Average Order Value)Customer concentrationRepeat-purchase behaviorBusiness KPIs
Pre-Written Resume Bullet (Copy & Paste)

"Authored a multi-question SQL analysis on a 10K-customer / 40K-order ecommerce PostgreSQL database — covering revenue trends, AOV evolution, customer concentration, and category performance — with findings published as a portfolio-grade GitHub repo."

Roles You Can Credibly Target

Junior Data Analyst (entry-level)

Writing analytical SQL against a real database is the first competency hiring managers test for in entry-level analyst roles.

Note: This is a free first project — pair with one paid project (RFM, dashboard, or churn) to demonstrate breadth.

Operations / Business Analyst

Operations roles need someone who can pull a number from a database and explain it to a non-technical reader.

Note: Add a spreadsheet-heavy project (campaign performance) to round out the toolkit ops teams use daily.

Reporting Analyst

Revenue, AOV, customer concentration — the bread-and-butter metrics this project covers — are the same ones reporting analysts publish weekly.

Note: A BI-tool project (executive dashboard) makes you competitive for reporting roles at any company > 50 people.
Interview Questions You'll Be Ready to Defend
01Walk me through how you'd analyze monthly revenue trends in a database you've never seen before.
02What's AOV, and what changes when you compute it monthly vs all-time?
03How do you decide whether to include cancelled or refunded orders in a revenue calculation?
04If 20% of customers drove 80% of revenue, what would you recommend the business do differently?
05Walk me through a query that finds the top 10 customers by lifetime spend.
Preparation

Reading & References

Connect VS Code & SQLTools to PostgreSQL
article
How to read an unfamiliar database
article
Aggregations and time-bucketed reporting in Postgres
article
Ecommerce KPIs every analyst should know
article
Window functions for customer-level analysis
article
Anatomy of a great portfolio README
article

Ready to build and ship Ecommerce Sales Analysis with SQL?

Instant access to cloud database credentials, milestones, and starter queries.

Project Overview

Free Ecommerce Sales Analysis with SQL portfolio project — with AI review

Build a real ecommerce sales analysis with sql project for your data analyst portfolio in your own public GitHub repo — free brief, starter template, and milestone guides. When your code is ready, the Free pass gets every milestone reviewed against a fixed rubric (ecommerce sales analysis sql walkthrough included) and issues a verifiable certificate on completion.

Is the Ecommerce Sales Analysis with SQL project free?

The full project brief, milestone guides, starter template, and AI-powered review pass are completely free.

Can I add the Ecommerce Sales Analysis with SQL project to my resume and GitHub?

Yes — that is the point. You build in your own public GitHub repo, every milestone is reviewed against a fixed rubric, and the certificate links to the repo employers can inspect. Only list what is visible in your repo.

How long does the Ecommerce Sales Analysis with SQL project take?

Most students finish the 5 milestones in 2–4 weekends. Milestones unlock in order, and you can re-submit any milestone that needs work.

Rubric-reviewed · Plagiarism-checked · Verifiable certificate

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