Data Interviews | Thread Categories

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

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(Read More)

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?

0 2 57 2 weeks ago

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Sourabh Suri

March 15, 2026

Best way to convert API JSON response to Excel in Python?

I’m working with an API that returns data in JSON format, and I need to convert this response into an Excel file using Python. Some of the fields in the JSON are nested (lists and dictionaries). What is the most efficient way to handle this transformation so the data can be flattened and exported properly(Read More)

I’m working with an API that returns data in JSON format, and I need to convert this response into an Excel file using Python. Some of the fields in the JSON are nested (lists and dictionaries).

What is the most efficient way to handle this transformation so the data can be flattened and exported properly to Excel?

Are there recommended libraries or approaches (for example using pandas) that work best for this type of task?

0 2 93 3 weeks ago

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Arindam

March 4, 2026

In data interviews, what do interviewers actually value more: the final answer or the way

I’ve been thinking about this based on my own interview experiences. Sometimes I focus a lot on getting to the “correct” answer, especially under time pressure. But I keep wondering if interviewers care more about how I break down the problem, ask questions, and explain my reasoning, even if the final solution isn’t perfect. For(Read More)

I’ve been thinking about this based on my own interview experiences. Sometimes I focus a lot on getting to the “correct” answer, especially under time pressure. But I keep wondering if interviewers care more about how I break down the problem, ask questions, and explain my reasoning, even if the final solution isn’t perfect.

For those who interview candidates, or have been through multiple data interviews, what has mattered more in your experience? Is it accuracy, structure, communication, or how you handle uncertainty?

Looking to learn from others who’ve been on both sides of the table.

0 2 148 2 months ago

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Shahir

January 21, 2026

In data interviews, what do interviewers actually value more: the final answer or the way

I’ve been thinking about this based on my own interview experiences. Sometimes I focus a lot on getting to the “correct” answer, especially under time pressure. But I keep wondering if interviewers care more about how I break down the problem, ask questions, and explain my reasoning, even if the final solution isn’t perfect. For(Read More)

I’ve been thinking about this based on my own interview experiences. Sometimes I focus a lot on getting to the “correct” answer, especially under time pressure. But I keep wondering if interviewers care more about how I break down the problem, ask questions, and explain my reasoning, even if the final solution isn’t perfect.

For those who interview candidates, or have been through multiple data interviews, what has mattered more in your experience? Is it accuracy, structure, communication, or how you handle uncertainty?

Looking to learn from others who’ve been on both sides of the table.