Must Study: Key Questions for Data Analysts 4.0

Advanced SQL
1. How do you handle hierarchical data and perform recursive queries in SQL?
2. What are common techniques for SQL performance tuning beyond indexing?
3. How do you implement SQL transactions and ensure atomicity in complex queries?

Excel Advanced
1. How do you use Power Pivot to manage and analyze large datasets in Excel?
2. What are the best practices for creating and using Excel macros for automation?
3. How do you leverage Excel’s advanced charting tools for dynamic data visualization?

Power BI
1. How do you use Power Query to merge and transform data from multiple sources?
2. What are the key differences between calculated columns and measures in Power BI?
3. How do you design effective Power BI dashboards for executive reporting?

Python
1. How do you use Python’s pandas library for advanced data manipulation and analysis?
2. What are the best practices for deploying machine learning models using Python?
3. How do you perform time series analysis and forecasting with Python?

Data Visualization
1. How do you ensure your visualizations are accessible to people with visual impairments?
2. What are effective methods for visualizing multivariate data?
3. How do you use storytelling techniques to make your data visualizations more engaging?

Soft Skills
1. How do you handle conflicts and disagreements within a data team or with stakeholders?
2. What strategies do you use to effectively present complex data insights to a broad audience?
3. How do you stay updated with the latest trends and tools in data analytics?

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Hope this helps you 😊