How I Use Claude Code as a Data Analyst (10 Real Use Cases)

💼 Business owner or operator with a team? We build AI automation systems that cut costs and scale ops — done for you: https://ryanandmattdatascience.com/ai-consultant/ 🚀 Want to make money with AI skills? Join our free community — real projects, real client strategies, and the exact stack we use: https://www.skool.com/data-and-ai All the assets from the video will be in our free skool group The data analyst role is changing fast — and the analysts pulling ahead aren't spending more time learning SQL or Python. They're using AI to do in 5 minutes what used to take 5 hours. In this video, I walk you through 10 real Claude Code workflows every data analyst should know: from cleaning messy CSVs and debugging broken SQL, to building Streamlit apps and deploying interactive dashboards — no web dev experience needed. Whether you're brand new to AI tools or already using ChatGPT for data work, Claude Code takes things to a completely different level. This is the skill gap opening up right now in the data space. TIMESTAMPS 0:00 - Intro: Why Claude Code is changing the data analyst role 0:32 - #1: Data Cleanup (fixing messy CSVs automatically) 7:03 - #2: Spreadsheet Analysis with Python Pandas 15:15 - #3: Automated Data QA / Audit Before Meetings 21:16 - #4: Merging Data from Multiple Sources (CRM, billing, contracts) 24:49 - #5: Contact Data Standardization & Regex Cleanup 29:42 - #6: SQL Query Debugging (finding & fixing broken queries) 34:11 - #7: SQL Optimization & Rewriting 36:53 - #8: Converting Hardcoded Queries into SQL Views 40:39 - #9: Code Documentation & Refactoring 45:48 - #10: Building Dashboards & Streamlit Apps 57:57 - Outro OTHER SOCIALS: 🌐 Website & Blog: https://ryanandmattdatascience.com/ Ryan’s LinkedIn: https://www.linkedin.com/in/ryan-p-nolan/ Matt’s LinkedIn: https://www.linkedin.com/in/matt-payne-ceo/ Twitter/X: https://x.com/RyanMattDS *This is an affiliate program. We receive a small portion of the final sale at no extra cost to you.