In this video, I put Claude Cowork through 10 real data analyst tasks I’ve actually done on the job, to answer the question: does it replace data analysts, or does it just replace the grunt work? I tested everything from vague stakeholder ad hoc requests (like trial-to-paid conversion “by end of day”) to SQL query generation, messy CRM cleanup with a full change log, and even auto-building an HTML dashboard from a couple CSVs. I also ran open-ended “tell me what’s interesting” exploration, 30/60/90-day retention cohorts, anomaly detection on daily metrics, VP-of-finance report writing, and documentation/data dictionary generation. My takeaway is pretty consistent across the board: Claude Cowork gets you about 80–90% there fast, and that’s a big deal if you already know what “good” looks like. It can surface useful questions (like “when did onboarding launch?”), generate solid SQL patterns (including rolling averages), and it’s genuinely great at cleanup + logging. But I still wouldn’t blindly trust outputs—hallucinations and subtle bugs show up (like dashboard filters not actually working). So no, it doesn’t fully replace data analysts right now, but it absolutely changes the job: less time on repetitive work, more time on validation, context, and decision-making.