The Data Analyst role has changed a lot in recent years. What used to be focused mainly on SQL queries, dashboards, and reporting is now shifting toward more advanced responsibilities driven by AI, automation, and self-service analytics tools.

With tools like AutoML, AI copilots, and real-time BI platforms, many traditional analyst tasks are becoming automated. At the same time, new expectations are emerging around:

• Data storytelling and business communication
• Understanding AI-generated insights
• Building analytical workflows instead of just reports
• Working closely with data engineering and product teams
• Supporting decision intelligence systems

This raises an important question about how the role itself is evolving and what skills will matter most going forward