1. What is a Data Analyst?
2. What tools and software do Data Analysts commonly use?
3. Can you explain the difference between structured and unstructured data?
4. What is SQL and why is it important for Data Analysts?
5. How do you handle missing data?
6. What is data normalization?
7. Can you explain what A/B testing is?
8. What is the importance of data visualization?
9. How do you ensure data quality?
10. What is a pivot table and how is it used?
11. What is the difference between a primary key and a foreign key?
12. Can you explain the concept of correlation?
13. What is a data warehouse?
14. What are some common data cleaning techniques?
15. How do you prioritize tasks when handling multiple projects?
16. What is the role of statistical analysis in data analytics?
17. Can you explain the term 'Big Data'?
18. What is the significance of data storytelling?
19. What experience do you have with machine learning?
20. How do you keep up with industry trends and advancements?
21. Can you describe a challenging data project you worked on?
22. What is the importance of documentation in data analysis?
23. How do you approach exploratory data analysis (EDA)?
24. What is your experience with forecasting?
25. Why do you want to work as a Data Analyst?
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