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ecommerce-data-warehouse

Build e-commerce data warehouses with star-schema, ETL, and dbt.

44|7|Updated Mar 12, 2026
Search Tags:#analytics#dbt#etl#data warehouse#bigquery#snowflake#redshift
One-click install
npx skills add https://github.com/finsilabs/awesome-ecommerce-skills --skill ecommerce-data-warehouse
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ecommerce-data-warehouse
Source: https://github.com/finsilabs/awesome-ecommerce-skills/tree/main/skills/data-analytics/ecommerce-data-warehouse
Command: npx skills add https://github.com/finsilabs/awesome-ecommerce-skills --skill ecommerce-data-warehouse

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill solves the problem of fragmented and insufficient e-commerce data by guiding users through building a centralized data warehouse. This enables deeper analytics and reporting beyond the capabilities of individual platforms.

Core Features & Use Cases

  • Data Centralization: Integrates data from various e-commerce platforms (Shopify, WooCommerce, BigCommerce) and other sources into a single repository.
  • Schema Design: Provides guidance on building star-schema tables optimized for analytics.
  • ETL Pipelines: Details methods for extracting and loading data into cloud data warehouses like BigQuery, Snowflake, or Redshift.
  • Transformation with dbt: Guides users on using dbt for transforming raw data into analytics-ready models.
  • BI Tool Integration: Facilitates connecting visualization tools like Looker Studio, Metabase, or Tableau.
  • Use Case: A growing e-commerce business needs to understand customer lifetime value across multiple sales channels and marketing campaigns. This Skill helps them build a data warehouse to combine sales, marketing, and customer data for comprehensive analysis.

Quick Start

Use the ecommerce-data-warehouse skill to set up a BigQuery data warehouse for your Shopify store.

Frequently Asked Questions about ecommerce-data-warehouse

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a data warehouse for Shopify, WooCommerce, and BigCommerce data?▼

An e-commerce data warehouse integrates fragmented data from Shopify, WooCommerce, and BigCommerce into a single repository to enable deeper analytics and reporting beyond individual platform capabilities.

What is the best way to structure an e-commerce data warehouse for BI tools?▼

The best way to structure an e-commerce data warehouse is using star-schema principles to create optimized tables, which facilitates seamless connectivity with BI visualization tools like Looker Studio, Metabase, or Tableau.

Can I use dbt to transform raw e-commerce data in BigQuery or Snowflake?▼

Yes, you can use dbt to transform raw e-commerce data in BigQuery, Snowflake, and Redshift, guiding the creation of analytics-ready models that support cross-channel customer lifetime value analysis.

Does this data warehouse approach work for analyzing customer lifetime value across multiple sales channels?▼

Yes, building a data warehouse combines sales, marketing, and customer data from multiple sales channels into a single repository, enabling comprehensive analysis like understanding customer lifetime value across marketing campaigns.

Do I need to know star-schema design to set up an e-commerce data warehouse?▼

No prior star-schema expertise is required, as this Skill provides specific guidance on building star-schema tables optimized for analytics, ETL pipelines, and dbt transformations from the ground up.

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