data analyst

Data Analyst Prompt Generator

AI prompts for data analysis and insights

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Brief · Adaptive · Enterprise

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Configuration

Description

Audience

Launch prompt

Fast instructions for ideation or quick testing.

Help me with data analysis: [describe your data analysis needs]

Tool/Platform: data analysis tool
Data Type: data

Please provide a clear approach and any necessary queries or formulas.

Adaptive prompt

Adds guardrails, tone, and formatting tokens.

# Data Analysis Request

## Analysis Objective
[describe your data analysis needs]

## Context
- **Tool/Platform**: data analysis tool
- **Data Type**: data

## Requirements
1. Data extraction/query approach
2. Analysis methodology
3. Key metrics to calculate
4. Visualization recommendations
5. Insights to uncover

## Deliverables
- Step-by-step analysis process
- Code/queries with comments
- Interpretation guidelines
- Actionable insights

Enterprise prompt

System + delivery instructions for production.

# Professional Data Analysis Project

## Project Scope
**Objective**: [describe your data analysis needs]
**Tool/Platform**: data analysis tool
**Data Type**: data

## Analysis Framework

### 1. Data Understanding
- Data sources and quality assessment
- Data schema and relationships
- Volume and time period
- Known limitations

### 2. Analysis Methodology
- Statistical methods to apply
- Tools and techniques
- Validation approach
- Assumptions and constraints

### 3. Technical Implementation
- Data extraction queries
- Data cleaning procedures
- Transformation logic
- Calculation formulas
- Performance optimization

## Comprehensive Deliverables

### 1. Executable Code/Queries
- Well-documented queries
- Reusable functions/procedures
- Error handling
- Performance considerations

### 2. Analysis Documentation
- Methodology explanation
- Step-by-step process
- Data dictionary
- Calculation logic

### 3. Insights & Recommendations
- Key findings with context
- Statistical significance
- Trend analysis
- Actionable recommendations
- Confidence levels

### 4. Visualization Strategy
- Chart types and rationale
- Dashboard layout
- Interactive elements
- Drill-down capabilities

## Quality Assurance
- Data validation checks
- Result verification methods
- Peer review considerations
- Documentation completeness

## Deliverable Formats
- Analysis report
- Presentation deck
- Interactive dashboard
- Raw data exports
- Technical documentation