The routine work got cheaper
For years, the analyst job was protected by tool friction. You needed someone who knew SQL, dashboards, spreadsheets, and the company’s messy data warehouse. AI has reduced that friction. A manager can now ask for a chart and get something that looks good enough to start a meeting.
That does not kill the analyst role. It kills the analyst who only moves numbers from one system to another.
The new analyst is closer to the decision
Good analysts will spend less time formatting dashboards and more time asking whether the metric means anything. Is conversion down because demand fell, traffic quality changed, or the signup form broke? AI can summarize. It cannot own the judgment.
The best path is toward analytics engineering, experimentation, product analytics, and business intelligence roles where the analyst is expected to shape the decision, not just decorate it.
What candidates should show
Show a portfolio with one messy business question, not five perfect charts. Explain the hypothesis, the data quality issues, the tradeoffs, and the recommendation.
Employers are not short of charts. They are short of people who can say, clearly, what the chart means and what to do next.