How AI Is Changing the Data Analyst Role

• Understand what has changed in the Data Analyst role with the rise of AI

• Learn how analysts approach tasks, problems, and decision-making in the AI era

• Understand how AI is changing the way analysts work with data, SQL, BI, Python, and other tools

• Learn where AI can accelerate analytical work and where human judgment is still essential

• Understand why problem definition, asking the right questions, and business context are becoming more important

• Learn how to validate AI-generated analysis and outputs instead of blindly trusting them

AI is changing the Data Analyst role faster than simply adding another tool to your skill set. The way analysts receive tasks, solve problems, work with data, and communicate insights is evolving, and employers increasingly expect analysts to combine technical skills with business judgment and AI fluency.

This session helps you understand what has actually changed, what still matters, and how to prepare for the analyst roles that are emerging now. Instead of focusing only on learning more tools, you'll understand where human thinking, problem definition, validation, and decision-making continue to create value.