Turn data into insights faster with AI-powered analysis prompts. From complex SQL queries to meaningful visualizations, these prompts help data professionals work more efficiently.
In short: The best data analysis prompts include your specific context, define the expected output format, and mention the tools or frameworks involved. Browse the curated collection below and customize any prompt to your workflow.
Write complex SQL queries faster
Get multiple analysis approaches suggested
Extract insights from data systematically
Create clear, actionable reports
Establish data governance
Design marketing attribution models
Define business metrics
Design effective data dashboards
Analyze product performance mix
Write SQL queries from natural language descriptions for any database system.
Structure marketing performance reports
Optimize SQL queries for performance
Analyze datasets and create comprehensive reports with insights and visualizations.
Design data pipeline architecture
Build real-time analytics
Build multi-touch attribution
Always describe your table schema and relationships
Specify the business question you're answering
Include sample data if the pattern is complex
Mention your database type (PostgreSQL, MySQL, etc.)
Never share PII, financial data, or confidential business information with public AI tools. Use synthetic or anonymized data for prompts. If you need to work with sensitive data, consider self-hosted AI solutions.
AI-generated SQL is usually 80-90% correct for common patterns but can have subtle bugs, especially with complex joins or edge cases. Always review and test on sample data before running on production.
Claude handles complex multi-table logic well. ChatGPT with Code Interpreter can actually run Python/SQL and show results. For purely SQL work, both are excellent—test with your specific use cases.
Browse our complete prompt library or contribute your own.