How are data interviews evolving with the rise of AI tools?

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Sourabh Suri

Updated 5 days ago in

With tools like ChatGPT, Copilot, and automated coding assistants becoming common in the workplace, the traditional data interview process is starting to change. Some companies are shifting away from pure SQL or coding challenges toward problem-solving, system thinking, and real business case discussions. From your experience, how are data interviews evolving, and what skills are becoming more important for candidates today?

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With tools like ChatGPT, Copilot, and automated coding assistants becoming common in the workplace, the traditional data interview process is starting to change. Some companies are shifting away from pure SQL or coding challenges toward problem-solving, system thinking, and real business case discussions. From your experience, how are data interviews evolving, and what skills are becoming more important for candidates today?
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Tariq 3 days ago

Data interviews are shifting from tool-based testing to problem-solving and thinking ability.

With AI tools handling coding and syntax, companies are focusing more on how candidates frame problems, interpret data, and connect insights to business decisions. Real-world case studies, system thinking, and communication are becoming more important than just SQL or coding speed.

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Data interviews are shifting from tool-based testing to problem-solving and thinking ability. 
With AI tools handling coding and syntax, companies are focusing more on how candidates frame problems, interpret data, and connect insights to business decisions. Real-world case studies, system thinking, and communication are becoming more important than just SQL or coding speed.

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