How to Build an AI Data Analyst (No SQL Required)
An AI data analyst connects to your analytics, databases, and spreadsheets — then answers questions over email in plain English. No SQL, no dashboard hunting, no waiting on the data team.
The agent also posts scheduled summaries directly to Slack — so leadership gets the numbers without asking.
How it works
Create a data analyst at dashboard.carlyassistant.com/agents (or email carly@usecarly.com and describe what you need). Connect your analytics and data sources — Google Analytics, BigQuery, and Google Sheets cover most use cases. The agent starts answering questions immediately over email and Slack, and learns your preferred metrics, formatting, and reporting cadence over time. For a full walkthrough, see How to Create a Custom AI Email Agent.
What an AI data analyst connects to
| Category | Integrations |
|---|---|
| Analytics | Google Analytics, Amplitude, Mixpanel, PostHog, Plausible, Segment, Hex |
| Databases | Google BigQuery, Databricks, Neon, Turso |
| Spreadsheets | Google Sheets, Airtable, Microsoft Excel |
| Marketing | Google Ads, Meta Ads, Semrush, Ahrefs |
| Delivery | Slack, Microsoft Teams, Email, Google Drive |
How teams use an AI data analyst
- Marketing asks about campaign ROAS — agent pulls from Google Ads and Analytics, responds in 2 minutes.
- Product asks about onboarding drop-off — agent queries BigQuery, surfaces the exact step where users churn.
- Leadership wants a weekly snapshot — agent compiles traffic, signups, revenue, and churn every Monday at 9am.
Build yours in under 10 minutes: Create a data analyst.
Related: What Are AI Agents · How to Create a Custom AI Email Agent · How to Build AI Employees · Best AI Agents for Productivity · Your First 30 Days with an AI Agent
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