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Category: Data Analytics

Data Analyst KPI Design: How to Choose Metrics That Actually Drive Decisions

A practical framework for turning vague business goals into measurable KPIs, guardrails, definitions, owners, and decision rules.

October 1, 2026
Why Your Data Analysis Is Wrong Even When Your SQL Is Correct

Correct SQL does not guarantee correct analysis. Learn how grain, joins, definitions, missing data, and business context can quietly distort a result.

October 1, 2026
How to Use AI to Debug SQL Without Losing the Logic

A practical workflow for using AI to debug SQL, test join and aggregation problems, validate fixes, and keep ownership of the analytical logic.

October 1, 2026
Data Cleaning Checklist Before You Start a Data Analysis

A practical data cleaning checklist for analysts covering grain, missing values, duplicates, joins, dates, validation, reconciliation, and repeatable quality checks.

September 30, 2026
The Complete AI-Assisted Analyst System: Think, Work, Verify, Systematize

The current AI-Assisted Analyst series is a two-book system: one book for analytical workflows and one for interview practice.

September 20, 2026
From Analyst to Analytics OS: Stop Prompting Randomly

Stop collecting prompts and build repeatable AI workflows with clear inputs, outputs, verification checks and analyst ownership.

September 20, 2026
Don’t Trust the Answer: When AI Analysis Looks Right and Is Wrong

A query can run, a dashboard can look clean and an AI explanation can sound convincing while the underlying analysis is wrong.

September 20, 2026
The AI Analyst Workflow: From Question to Shippable Analysis

AI becomes much more useful when it sits inside a repeatable workflow. Here is a practical way to use it across SQL, exploration, charts and reporting.

September 20, 2026
Think Like an AI-Assisted Analyst: AI Is a Copilot, Not an Oracle

A practical AI-assisted analyst mindset: use AI as a copilot for drafts and alternatives while keeping problem framing, validation and decisions human-owned.

September 20, 2026
SQL Interview Questions for Data Analysts: 50+ Questions

Practice 50+ SQL interview questions for Data Analysts covering JOINs, CTEs, window functions, aggregations and real-world business problems.

September 20, 2026

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