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AI for analysts, explained clearly.
Practical guides for data, BI and business analysts — written by an engineer who builds AI systems, not a content mill.
From Data Analyst to AI-Focused Role: A Realistic Plan
A grounded path for experienced data and BI analysts who want to move toward AI work — what to learn, what to build, and how to make it visible without quitting your job.
Read articlePython for SQL Analysts: The 20% You Actually Need (With AI Doing the Typing)
If you can write SQL, you already know most of pandas. Here are the few Python ideas that matter for analysts, side by side with the SQL you know.
Read articleBusiness Analysts and AI: What Changes First (and What Gets More Valuable)
Requirements, user stories, process maps and stakeholder notes are where AI lands first in business analysis. Here’s what changes, what doesn’t, and how BAs come out ahead.
Read articleHow to Use ChatGPT for SQL Without Shipping Wrong Numbers
A practical workflow for analysts: what to give the AI, what never to paste, and the three checks that catch confident-but-wrong queries before your stakeholders do.
Read articleWill AI Replace Data Analysts? What’s Actually Changing — and What to Learn Next
An honest look, from an engineer who builds AI systems, at which parts of the analyst job AI is taking over, which it can’t, and how experienced analysts stay ahead.
Read articleHow to Break Into AI Engineering as a Working Developer
A grounded roadmap for developers who want to move into AI engineering — what to learn, what to build, and what actually matters in production.
Read articleFind out what AI can take off your plate.
Book a free 30-minute AI Career Plan call. We’ll go through your week, find the tasks AI can take over now, and map your next 4 weeks — no sales pressure.
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