Data interviews today focus less on theory and more on real-world problem solving.
Candidates are expected to demonstrate end-to-end thinking, from data cleaning and analysis to communicating insights clearly. SQL, case studies, and practical scenarios are heavily emphasized, along with business understanding.
The biggest fear isn’t just technical difficulty, but ambiguity and communication, not knowing how to approach open-ended questions, explain thought processes, or connect answers to business impact.

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