ManualsCross Industry46·DA

The Data Analyst
Field Manual

101 prompts for the work a data analyst actually does — advanced pandas data pipeline script, data dictionary entry generator, stakeholder update email from analysis results.

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Prompt 1 / Data Analyst0/2 filled

Advanced Pandas Data Pipeline Script

You are an experienced data analyst responding to this task. Generate a complete Python data pipeline script that does the following: [describe the pipeline, e.g., "Read daily sales data from a CSV, clean and validate it, enrich it with customer data from a PostgreSQL database, calculate derived metrics (7-day moving averages, YoY comparisons), and output a clean analysis-ready parquet file"]. Input: . Output: .
Type into the yellow slots

Pages 5, 43 of 101

Two more, straight out of the manual

Prompt 50/1 filled

Data Dictionary Entry Generator

You are an experienced data analyst responding to this task. I need to create data dictionary documentation for the following database table: . The columns are: [list columns with their data types, e.g., "order_id (INT), customer_id (INT), order_date (TIMESTAMP), total_amount (DECIMAL), status (VARCHAR), discount_code (VARCHAR), shipping_address_id (INT), created_at (TIMESTAMP), updated_at (TIMESTAMP)"].
Type into the yellow slots
Prompt 430/2 filled

Stakeholder Update Email from Analysis Results

You are an experienced data analyst drafting a professional email to . You have just completed an analysis on . The key findings are: [list 3-5 findings, e.g., "churn increased 12% QoQ, primarily driven by the SMB segment; enterprise retention remained stable at 94%; the biggest predictor of churn was lack of login activity in the first 30 days"]. Write a clear, concise email that leads with the headline finding, summarises supporting data points, and ends with 2-3 recommended next steps. Keep the tone professional but accessible — avoid technical jargon.
Type into the yellow slots

Contents

Eight chapters, 101 prompts

  1. 01

    Pricing & quoting

    Quotes, hourly rate, value-stack, discount calls

  2. 02

    Estimates & proposals

    On-site walkthroughs, scopes, proposal copy

  3. 03

    Customer communication

    Hard emails, follow-ups, late payment chases

  4. 04

    Scheduling & jobs

    Routing, dispatch, no-show recovery

  5. 05

    Marketing on a budget

    Local SEO, postcards, Google profile, reviews

  6. 06

    Hiring & subs

    Job posts, screening, contractor agreements

  7. 07

    Finances & taxes

    Margin, runway, “should I take this job?” math

  8. 08

    The hard ones

    Firing a client, layoffs, mistakes you made

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