With so many no-code and low-code analytics platforms hitting the market in 2025, I’m wondering if learning SQL is still worth the time. Can a Business Analyst survive and thrive using just drag-and-drop tools, or is database querying still a foundational requirement?
3 answers
Absolutely, SQL remains non-negotiable. While no-code tools are great for simple reporting, they often struggle with complex data joins, custom transformations, and performance tuning on massive datasets. If you can't write your own queries, you are at the mercy of how the tool "thinks" the data should be structured. Most high-paying BA roles specifically look for SQL proficiency because it allows you to validate the data accuracy before it ever reaches the visualization layer. It’s the difference between being a tool operator and being a true data professional.
Do you think the emergence of Natural Language to SQL (NL2SQL) features in AI will eventually make manual coding obsolete for the average analyst?
SQL is the "universal language" of data. No matter which BI tool your company switches to, SQL stays the same. It's the best long-term investment for your career.
I agree with Karen. I’ve switched companies three times, and while the visualization tools changed every time, my SQL skills were what got me through the first week every single time.
Daniel, while AI can write basic SELECT statements, it often fails at complex business logic or understanding specific database schemas. You still need to know SQL to audit what the AI produces. Relying blindly on AI-generated code is a recipe for reporting errors that could cost the company thousands.