Some practical interview questions for an entry-level data analyst role in Power BI:
• Data Import Scenario: Describe how you would import data from various sources (Excel,SQL Server, CSV) into Power BI.
• Data Cleaning Exercise: In Power BI, how would you handle a dataset with missing values and inconsistent formats to prepare it for analysis?
• Handling Large Datasets: If you're working with a very large dataset in Power BI that is causing performance issues, what strategies would you use to optimize the data processing?
• Calculated Columns and Measures: Explain how you would use calculated columns and measures in Power BI to analyze year-over-year growth.
• Data Modeling Case: You have sales data in one table and customer data in another. How would you create a data model in Power BI to analyze customer purchase behavior?
• Visualizations Task: Describe your approach to visualizing sales data in Power BI to highlight trends over time across different product categories.
• Dashboard Optimization: A Power BI dashboard is loading slowly. What steps would you take to diagnose and improve its performance?
• Data Refresh Scheduling: How would you set up and manage automatic data refreshes for a weekly sales report in Power BI?
• Row-Level Security: How would you implement user-level security in Power BI for a report that needs different access levels for various users?
• Troubleshooting a DAX Calculation: If a DAX formula in Power BI is not returning the expected results, how would you go about troubleshooting it?
• Integration with Other Tools: Describe a scenario where you integrated Power BI with another tool or service (like Excel, Azure, or a web API).
• Interactive Reports Creation: How would you design a Power BI report that allows user interaction, such as using slicers or drill-down features?
• Adapting to Data Source Changes: If there are structural changes in a primary data source (like addition or removal of columns), how would you update your Power BI reports and dashboards?
• Sharing Reports: Explain how you would share a report with your team and set up access controls using Power BI Service.
• SQL Queries in Power BI: How do you use SQL queries in Power BI for advanced data transformation or analysis?
• Error Handling in Data Sources: How do you manage and resolve errors in data sources or calculations in Power BI?
• Custom Visuals Usage: Have you used custom visuals in Power BI? Describe the scenario and the benefit
• Collaboration in Power BI Projects: Discuss how you have worked with others on a Power BI project. What collaboration tools or features within Power BI did you utilize?
• Performance Tuning: What steps do you take to ensure your Power BI reports are performing optimally when dealing with large datasets or complex calculations?
• Data Import Scenario: Describe how you would import data from various sources (Excel,SQL Server, CSV) into Power BI.
• Data Cleaning Exercise: In Power BI, how would you handle a dataset with missing values and inconsistent formats to prepare it for analysis?
• Handling Large Datasets: If you're working with a very large dataset in Power BI that is causing performance issues, what strategies would you use to optimize the data processing?
• Calculated Columns and Measures: Explain how you would use calculated columns and measures in Power BI to analyze year-over-year growth.
• Data Modeling Case: You have sales data in one table and customer data in another. How would you create a data model in Power BI to analyze customer purchase behavior?
• Visualizations Task: Describe your approach to visualizing sales data in Power BI to highlight trends over time across different product categories.
• Dashboard Optimization: A Power BI dashboard is loading slowly. What steps would you take to diagnose and improve its performance?
• Data Refresh Scheduling: How would you set up and manage automatic data refreshes for a weekly sales report in Power BI?
• Row-Level Security: How would you implement user-level security in Power BI for a report that needs different access levels for various users?
• Troubleshooting a DAX Calculation: If a DAX formula in Power BI is not returning the expected results, how would you go about troubleshooting it?
• Integration with Other Tools: Describe a scenario where you integrated Power BI with another tool or service (like Excel, Azure, or a web API).
• Interactive Reports Creation: How would you design a Power BI report that allows user interaction, such as using slicers or drill-down features?
• Adapting to Data Source Changes: If there are structural changes in a primary data source (like addition or removal of columns), how would you update your Power BI reports and dashboards?
• Sharing Reports: Explain how you would share a report with your team and set up access controls using Power BI Service.
• SQL Queries in Power BI: How do you use SQL queries in Power BI for advanced data transformation or analysis?
• Error Handling in Data Sources: How do you manage and resolve errors in data sources or calculations in Power BI?
• Custom Visuals Usage: Have you used custom visuals in Power BI? Describe the scenario and the benefit
• Collaboration in Power BI Projects: Discuss how you have worked with others on a Power BI project. What collaboration tools or features within Power BI did you utilize?
• Performance Tuning: What steps do you take to ensure your Power BI reports are performing optimally when dealing with large datasets or complex calculations?
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Gartner is hiring Associate Data Scientist 🚀
Experience : 0-3 Years
Location : Gurugram
Apply link : https://gartner.wd5.myworkdayjobs.com/EXT/job/Gurgaon/Associate-Data-Scientist_101739-1/apply?source=JB-10120
Experience : 0-3 Years
Location : Gurugram
Apply link : https://gartner.wd5.myworkdayjobs.com/EXT/job/Gurgaon/Associate-Data-Scientist_101739-1/apply?source=JB-10120
Myworkdayjobs
Associate Data Scientist
About the role: This is a unique opportunity to join our fast-growing Data Science team. In the role of Associate Data Scientist in Client Retention Analytics team, you will execute large scale, high impact data modeling projects with responsibility for designing…
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American Express is hiring Analyst 🚀
Min. Experience : 1 Year
Location : Gurugram
Apply link : https://aexp.eightfold.ai/careers/job/30504056?hl=en&utm_source=linkedin&domain=aexp.com
Min. Experience : 1 Year
Location : Gurugram
Apply link : https://aexp.eightfold.ai/careers/job/30504056?hl=en&utm_source=linkedin&domain=aexp.com
aexp.eightfold.ai
Analyst-Data Analytics | Careers at American Express
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