Data Analyst AI Stack
Ship analysis 5x faster with a solo analyst + LLM tooling.
/ quick answer
From data question to dashboard without hand-writing every SQL. Ship analysis 5x faster with a solo analyst + LLM tooling.
- dbt (transformations)
- DuckDB or BigQuery (warehouse)
- Hex or Deepnote (AI notebooks)
- Lovable AI Gateway (SQL + explanations)
- Metabase or Evidence.dev (dashboards)
What is the Data Analyst AI Stack stack for?
From data question to dashboard without hand-writing every SQL.
Which tools are in this stack?
dbt (transformations), DuckDB or BigQuery (warehouse), Hex or Deepnote (AI notebooks), Lovable AI Gateway (SQL + explanations), Metabase or Evidence.dev (dashboards).
/ continue exploring
Related concepts
The vocabulary this page depends on.
- →Synthetic Data
AI-generated data used to train, test or evaluate models when real data is scarce or sensitive.
- →Structured Data
Schema.org JSON-LD that describes page content to machines.
Related workflows
Turn this into a repeatable process.
- →AI Reporting Dashboard Workflow
Generate weekly business reports from operational data with AI commentary.
- →Build an MCP Server for Your Internal Data
Expose one internal data source to every AI client via the Model Context Protocol.
Related tool stacks
The tools that run it in production.
- →Indie SaaS Launch Stack
Everything a solo founder needs to ship and monetize a SaaS in weeks.
- →AI Marketing Ops Stack
The control center for an AI-augmented marketing team of one to five.
- →Agent Architecture Stack
The minimum tooling to design, run and observe a production agent.
- →Multi-Agent Orchestration Stack
Tooling for coordinating several specialised agents with reliable handoffs.
Related prompts
Reusable prompts for this job.
- →Structured Data Analysis from CSV
Get a defensible analysis + chart suggestions from a raw CSV with no human pre-processing.
- →Strategic Analyst Prompt
Turn a business situation into a McKinsey-style strategic memo.
Comparisons & alternatives
Pick between the options.
- →On-chain Data vs Exchange Data
On-chain data shows verifiable wallet-level behaviour; exchange data shows aggregate price discovery. Serious research needs both.
- →Airtable vs Notion vs Baserow
Relational data with different personalities.