This article lists 30 important interview questions for Business Intelligence Engineering roles, focusing on skills relevant in the AI era. It aims to help both candidates and interviewers navigate the evolving landscape of data and analytics.

Since the inception of SQL in 1974, there has been a recurring dream to replace data analytics developers with tools that simplify the querying process. Each decade has seen innovations that aim to democratize data access, yet the complex intellectual work of understanding business needs and making informed decisions remains essential. Advances like AI can enhance efficiency but do not eliminate the crucial human expertise required in data analytics.