In 2025, data analytics interviews assess technical expertise, analytical thinking, and business decision-making. Candidates should be ready for common interview questions covering SQL (joins, aggregations, window functions), Excel (lookups, pivot tables), data visualization (Tableau or Power BI), and Python (pandas, NumPy). Interviewers also test statistics fundamentals such as data cleaning, descriptive measures, regression, and overfitting. Business-focused questions often explore KPI selection, root-cause analysis, and estimation problems. Behavioral questions evaluate communication and storytelling using the STAR method. Strong preparation includes practicing live SQL, reviewing portfolios, and aligning answers with company goals. Enrolling in a professional Data analytics training program can help you build real-world project experience and master tools like Excel, Power BI, Tableau, and Python, making you stand out to top employers looking for skilled data professionals.