Interview Question Categories
Master SQL with 500+ practice questions covering JOINs (INNER, LEFT, RIGHT, FULL OUTER), subqueries, window functions (ROW_NUMBER, RANK, DENSE_RANK, LAG, LEAD), Common Table Expressions (CTEs), GROUP BY with HAVING, CASE statements, query optimization, and indexing. Questions range from junior to senior data analyst level.
Practice Python data analysis interview questions: Pandas DataFrames, NumPy arrays, data manipulation (merge, concat, groupby, pivot), string methods, list comprehensions, lambda functions, and data visualization with matplotlib and seaborn.
Prepare for Power BI interviews with questions on DAX formulas (CALCULATE, FILTER, ALL, RELATED), data modeling, star schema, relationships, Power Query (M language), calculated columns vs measures, row-level security, and report optimization.
Master Excel for data analyst interviews: VLOOKUP, XLOOKUP, INDEX/MATCH, Pivot Tables, Power Pivot, advanced formulas (SUMIFS, COUNTIFS), conditional formatting, data validation, array formulas, and macros basics.
Practice Tableau interview questions on LOD expressions (FIXED, INCLUDE, EXCLUDE), dashboard design best practices, calculated fields, table calculations, parameters, sets, groups, data blending, and performance optimization.
Study core data analytics concepts: statistics fundamentals, probability, hypothesis testing, A/B testing, data modeling (star schema, snowflake), ETL processes, data warehousing, data governance, and business intelligence concepts.