I typically see data analyst interviews focus on SQL querying, data cleaning logic, and business interpretation; at H2K Infosys I’ve observed employers prioritize practical reasoning over theory. Common questions assess how I handle messy datasets, choose metrics, and explain insights clearly to stakeholders with context. Interviewers often ask about writing joins, window functions, and optimizing queries, then move to Python or Excel workflows, visualization choices, and statistics basics. Midway, discussions shift to project experience, tradeoffs, and validation approaches tied to Data analyst certification online preparation. Strong candidates demonstrate structured thinking, reproducibility, and communication, not just tool knowledge in real interviews.
