Post #2555

✅ Data Analyst Interview Questions with Answers 1. What is data analytics? Data analytics is the process of collecting, cleaning, analyzing, and interpreting data to support business decisions. The goal is to turn raw data into meaningful insights. 2. Difference between data analytics and data science? Data analytics focuses on analyzing historical data to answer what happened and why. Data science focuses on building predictive models to answer what will happen next using machine learning. 3. What problems does a data analyst solve? - Identifying trends and patterns - Explaining business performance - Finding reasons behind growth or decline - Supporting decision-making with data 4. What are the types of data analytics? - Descriptive – What happened - Diagnostic – Why it happened - Predictive – What may happen - Prescriptive – What action to take 5. What tools do data analysts use daily? - Excel for quick analysis - SQL for querying databases - Power BI or Tableau for dashboards - Python (sometimes) for automation - Statistics for interpretation 6. What is a KPI? A KPI (Key Performance Indicator) is a measurable value that shows how well a business or team is achieving its objectives. Example: Monthly revenue, churn rate. 7. Difference between a metric and a KPI? Metric: Any measurable value (page views, clicks). KPI: A critical metric directly linked to business goals (conversion rate, revenue growth). 8. What is descriptive analytics? Descriptive analytics summarizes historical data to understand past performance. Example: Total sales last month, average order value. 9. What is diagnostic analytics? Diagnostic analytics explains why something happened by comparing data and identifying root causes. Example: Sales dropped because website traffic decreased. 10. What does a typical day of a data analyst look like? - Pull data using SQL - Clean data in Excel or Power Query - Build or update dashboards - Analyze trends and metrics - Share insights with stakeholders Double Tap ♥️ For Part-2