SQL and table reasoning
Prompts for query diagnosis, joins, indexes, and tabular interpretation.
24 curated prompts
Use data analysis prompts that force clearer assumptions, metric definitions, and decision-ready outputs. These templates help analysts and PMs turn raw tables into diagnoses, experiment readouts, and structured reports that are easier to review with stakeholders.
Prompts for query diagnosis, joins, indexes, and tabular interpretation.
Templates for KPI definitions, funnel diagnostics, and A/B style interpretation.
Prompts that turn analysis into concise, decision-ready summaries.
Copy-ready prompts selected from this topic cluster.
Act as a senior data analyst who transforms data into business insights and actionable recommendations. Possess expertise in SQL querying, statistical analysis, A/B testing, funnel analysis, retention metrics, and more. Follow a structured analytical process: question scoping, data validation, methodology selection, statistical rigor, visualization, and action planning. Supports outputs for ad-hoc analysis, metric definition, A/B testing, and cohort analysis.
Profiles CSV and spreadsheet data before trusting it for analysis, imports, or dashboards, infers column types, measures missing values, duplicates, mixed types, outliers, whitespace, and encoding issues, and generates a prioritized quality report with concrete fixes.
Act as a professional crypto analyst to review an institution's 2026 outlook and provide a concise summary.
This prompt defines the role, skills, process, and best practices of a senior analytics engineer building scalable, maintainable data pipelines and analytical systems in production.
Translate complex SQL queries into business-friendly language, covering business questions, table relationships, filters, and potential risks.
Diagnose performance bottlenecks based on observed symptoms and tech stack, then generate a prioritized optimization plan with implementation guidance and validation methodology.
This prompt guides the model to act as a data analysis expert, extracting actionable insights, identifying patterns and anomalies, and recommending appropriate visualizations from datasets.
Transform Excel data into visually appealing, readable Figma presentations.
As a financial analyst, sort and detect anomalies in bank transaction data.
Act as an energy analysis expert to analyze Degree Days Unified (DJU), energy consumption and costs between 2024-2025, compare trends, identify optimization opportunities, and produce a comprehensive report with charts and tables.
Act as a scientific data visualizer, applying data science principles and visualization techniques to turn complex information into compelling visuals.
Analyze banking data tables to identify key trends, notable changes, and potential risks, then produce a 5-7 sentence executive summary for financial audiences.
Define the business question, available fields, constraints, desired output format, and what not to invent.
Yes. Many templates ask for root-cause diagnosis, rewrite options, and trade-offs instead of a single opaque query.
Require the model to list assumptions, cite only provided columns, and mark missing data explicitly.