AI Prompts for Data Analysts
The most useful data analysis prompts on the internet, tested across major models and organized by job-to-be-done.
Every data analysis prompt here is reviewed by domain practitioners and tagged with the model it was tested on. No fluff, no recycled GitHub READMEs.
Pair these prompts with our Loop Library to build a personal data analysis workflow that runs in a single line.
Featured loops
The Data-Backed Credibility Builder
Turns anecdotal claims into authoritative, data-supported arguments.
The Schema Evolutionist
Plans database migrations to ensure zero downtime and data integrity.
The Signal-to-Noise Prospector
Filters raw intent data into highly personalized, non-generic outreach hooks.
The Legal & Privacy Gauntlet
Reviews product requirements against GDPR, CCPA, and general ethical data practices.
The Data-Fetch Shield
Iteratively wraps data fetching logic in comprehensive error boundaries, loading states, and retry logic.
The Funnel Friction Finder
Analyzes a conversion funnel to find the specific step with the highest drop-off and suggests fixes.
The Missing-Data Detective
Diagnoses why certain fields are returning nulls or empty strings in a dataset.
The SQL Shadow-Debugger
Stress-tests complex SQL queries by simulating extreme edge-case data points and null values.
The PICO Researcher
Refines clinical questions into the PICO format and identifies the best databases for answers.
The Narrative Stress-Tester
Ensures a data story doesn't succumb to confirmation bias or logical leaps.
The Traction Narrative Loop
Transmutes raw usage data into compelling narrative hooks for fundraising or PR.
The Comps Narrative Architect
Frames disparate CMA data into a cohesive story that justifies a specific listing price.
Frequently asked
Yes, free to browse with a one-click sign-in.
Each prompt lists the model it was tuned on - typically GPT-5, Claude Sonnet, and Gemini Pro.