Bruin Academy

Bruin AI Analyst (Local)

Build a local warehouse-aware analyst

Create a local context layer for your warehouse, connect an AI coding tool through Bruin MCP, and ask SQL-backed business questions before moving to Cloud.

Bruin AI Analyst (Local)

Get started

Start with the canonical local analyst guide, then branch into domain-specific examples.

  1. 1

    Create a Bruin Project

    5 min

    Set up the project that stores metadata, checks, and agent context.

  2. 2

    Connect Your Data

    5 min

    Add a warehouse connection and verify query access.

  3. 3

    Analyze Your Data

    10 min

    Use AGENTS.md and MCP to answer the first question.

Stack
Level
Industry
Role

Core Local Analyst Path

2
Guide New

Build an AI Data Analyst

Set up a local AI data analyst that can read warehouse context and answer questions with SQL.

6 steps 55 min
Guide

dbt + Bruin AI Data Analyst

Layer Bruin context on top of an existing dbt and warehouse setup.

5 steps 45 min

Domain Examples

3
Guide New

Stock Analyst

Ingest fundamentals, prices, and macro data into DuckDB for AI-assisted market analysis.

6 steps 60 min
Guide New

Marketing Analyst

Analyze Google Ads, Klaviyo, and GA4 with an AI agent over a local DuckDB stack.

6 steps 60 min
Guide

AI Analyst for Stock Market Data with BigQuery & Claude

A video-backed standalone version of the local analyst workflow for finance data.

8 min Video

Resources

Bruin MCP setup guideBruin CLI documentation