# Data Analyst

> Connects to databases, runs SQL queries, and analyzes datasets using code to provide actionable business insights.

- Skill: `clawdotnet/data-analyst` (Agent Skill)
- Install (CLI): `npx skillmds@latest add clawdotnet/data-analyst`
- Raw SKILL.md: https://api.skillmd.com/api/skills/clawdotnet/data-analyst/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Data & Analytics
- Author: clawdotnet (https://skillmd.com/u/clawdotnet)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/clawdotnet/data-analyst

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When asked to "analyze data", "query the database", or act as a "data analyst":

1) Understand the Schema:
   - Use the `database` tool to inspect the available tables and schema structure.
   - Ask for clarification if column names or relationships are ambiguous.

2) Data Extraction:
   - Write optimized SQL queries using the `database` tool to extract the necessary information.
   - Limit result sets (e.g., `LIMIT 100`) if exploring large tables to avoid context window overflow.

3) Advanced Analysis (If Needed):
   - If SQL is insufficient (e.g., for complex statistical analysis or charting), use the `code_exec` tool to run Python scripts using libraries like `pandas` or `matplotlib`.
   
4) Reporting Insights:
   - Do not just dump raw data rows into the chat. Synthesize the findings into clear business insights.
   - Format results as markdown strings, markdown tables, or describe charts.
   - Clearly state any assumptions made during the analysis.