Interview questions for an entry-level data analyst role in #Power_BI:    1. Data Import Scenario: Given a set of data in different formats (e.g., Excel, CSV, SQL Server), how would you import this data into Power BI?  2. Data Cleaning Exercise: You have a dataset with missing values and inconsistent formats. What steps would you take in Power BI to clean this data?  3. Handling Large Datasets: If you're working with a very large dataset that is slowing down Power BI, what strategies would you use to improve performance?  4. Complex DAX Challenge: Describe how you would use DAX to calculate year-over-year growth in a dataset. 5. Data Modeling Case: You have sales data and customer data in separate tables. How would you model this data in Power BI to analyze customer purchase behavior?  6. Visualizations Task: Describe how you would visualize sales data to show trends over time, comparing multiple product categories.  7. Report Optimization: A Power BI report is running slowly. What steps would you take to diagnose and fix the problem?  8. Scheduling Data Refreshes: How would you set up and manage automatic data refreshes for a weekly sales report in Power BI?  9. Row-level Security Implementation: How would you implement row-level security in Power BI for a report that needs to be accessed by multiple users with different data access privileges? 10. Integrating Power BI with Other Tools: Describe a scenario where you integrated Power BI with another tool or service, such as Excel or a web service.  11. User Interaction: How would you create a report in Power BI that allows users to interact with the data, such as using slicers or drill-downs? ➡️𝐣𝐨𝐛&𝐃𝐚𝐭𝐚 𝐫𝐞𝐟𝐟𝐞𝐫𝐚𝐥𝐬 : https://lnkd.in/gcw-ziZm ➡️𝐉𝐨𝐛&𝐃𝐚𝐭𝐚 𝐫𝐞𝐟𝐞𝐫𝐫𝐚𝐥 : https://lnkd.in/eH9q8cBQ MADHU THANGELLA connect with me for more updates ! #powerbi #dataanalyst #businessanalyst #interview

Interview questions for an entry-level data analyst role in #Power_BI: 1. Data Import Scenario: Given a set of data in different formats (e.g., Excel, CSV, SQL Server), how would you import this data into Power BI? 2. Data Cleaning Exercise: You have a dataset with missing values and inconsistent formats. What steps would you take in Power BI to clean this data? 3. Handling Large Datasets: If you're working with a very large dataset that is slowing down Power BI, what strategies would you use to improve performance? 4. Complex DAX Challenge: Describe how you would use DAX to calculate year-over-year growth in a dataset. 5. Data Modeling Case: You have sales data and customer data in separate tables. How would you model this data in Power BI to analyze customer purchase behavior? 6. Visualizations Task: Describe how you would visualize sales data to show trends over time, comparing multiple product categories. 7. Report Optimization: A Power BI report is running slowly. What steps would you take to diagnose and fix the problem? 8. Scheduling Data Refreshes: How would you set up and manage automatic data refreshes for a weekly sales report in Power BI? 9. Row-level Security Implementation: How would you implement row-level security in Power BI for a report that needs to be accessed by multiple users with different data access privileges? 10. Integrating Power BI with Other Tools: Describe a scenario where you integrated Power BI with another tool or service, such as Excel or a web service. 11. User Interaction: How would you create a report in Power BI that allows users to interact with the data, such as using slicers or drill-downs? ➡️𝐣𝐨𝐛&𝐃𝐚𝐭𝐚 𝐫𝐞𝐟𝐟𝐞𝐫𝐚𝐥𝐬 : https://lnkd.in/gcw-ziZm MADHU THANGELLA connect with me for more updates ! #powerbi #dataanalyst #businessanalyst #interview

Practical interview questions for an entry-level data analyst role in #Power_BI: How would you set up and manage automatic data refreshes for a weekly sales report in Power BI ? ➡️ Prepare Data Source: Ensure your data source is accessible and configured for scheduled refresh (e.g., SQL database, Excel file on OneDrive). ➡️ Upload to Power BI Service: Publish your Power BI report to the Power BI Service. ➡️ Navigate to Dataset Settings: In the Power BI Service, go to the workspace where your report is published, find the dataset, and click on the ellipsis (…) next to it. Select "Settings". ➡️ Configure Data Source Credentials: Under the "Data source credentials" section, provide the necessary credentials for your data source to ensure connectivity. ➡️ Schedule Refresh: Go to the "Scheduled refresh" section in the dataset settings. Toggle the "Keep your data up to date" switch to "On". Set the frequency to "Weekly". Specify the days and time for the refresh (e.g., every Monday at 8 AM). ➡️ Set Notification Options: Enable email notifications for refresh failures to be alerted in case of any issues. ➡️ Apply Changes: Click "Apply" to save the scheduled refresh settings. ➡️ Verify Refresh: Monitor the first scheduled refresh to ensure it completes successfully and the data is updated correctly. Have you set up scheduled refreshes in Power BI before? Share your tips and experiences in the comments below! 👉𝐉𝐨𝐛&𝐃𝐚𝐭𝐚 𝐫𝐞𝐟𝐞𝐫𝐫𝐚𝐥 ✅:https://lnkd.in/gcw-ziZm MADHU THANGELLA connect with me for more updates ! #PowerBI #DataRefresh #DataAnalytics #BusinessIntelligence #DataVisualization #DataAnalysis

In many interviews, I've noticed a trend: candidates excel at answering Power BI questions but struggle with fundamental SQL queries. It’s crucial to recognize that in the real world, very few projects revolve solely around Power BI and Excel. If you're pursuing a Power BI Developer role, there's a 95% chance your project will involve SQL. Power BI and SQL are not just tools; they’re powerful allies. Understanding how to leverage both can set you apart from the competition. The synergy of these tools means that 1 + 1 > 2! Combining SQL with Power BI offers several advantages that enhance data analysis and visualization capabilities: 𝟭. 𝗗𝗮𝘁𝗮 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 𝗮𝗻𝗱 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: SQL is excellent for querying and managing large datasets. You can efficiently retrieve, filter, and aggregate data before it’s imported into Power BI, ensuring that the reports are based on precise and relevant information. 𝟮. 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗗𝗮𝘁𝗮 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴: With SQL, you can create complex data models and relationships. This allows for more sophisticated calculations and metrics in Power BI, enhancing your analytical capabilities. 𝟯. 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: By using SQL to pre-process and aggregate data, you can significantly reduce the amount of data Power BI needs to handle. This can improve performance and responsiveness in your reports. 𝟰. 𝗗𝗮𝘁𝗮 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: SQL can be used for data cleansing and transformation, ensuring that the data you load into Power BI is accurate and well-structured, which is crucial for effective analysis. 𝟱. 𝗖𝘂𝘀𝘁𝗼𝗺 𝗤𝘂𝗲𝗿𝗶𝗲𝘀: SQL allows for custom queries tailored to specific business needs, enabling more flexible reporting in Power BI. You can create views and stored procedures in SQL that Power BI can consume directly. 𝟲. 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗮𝗻𝗱 𝗣𝗲𝗿𝗺𝗶𝘀𝘀𝗶𝗼𝗻𝘀: SQL databases often have robust security features. By managing access and permissions at the SQL level, you can control who sees what data in Power BI. 𝟳. 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆: As data volume grows, SQL databases can handle larger datasets effectively. Power BI can then connect to these databases, maintaining performance and usability. 𝟴. 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Power BI easily integrates with SQL databases, allowing seamless data connections and real-time data updates, which can help in creating live dashboards. #DataAnalytics #DataScience #Data #Analysis #SQL #PowerBI #CareerGrowth #ProfessionalDevelopment #DataEngineering

Practical interview questions for an entry-level data analyst role in #Power_BI: 1. Data Import Scenario: Given a set of data in different formats (e.g., Excel, CSV, SQL Server), how would you import this data into Power BI? 2. Data Cleaning Exercise: You have a dataset with missing values and inconsistent formats. What steps would you take in Power BI to clean this data? 3. Handling Large Datasets: If you're working with a very large dataset that is slowing down Power BI, what strategies would you use to improve performance? 4. Complex DAX Challenge: Describe how you would use DAX to calculate year-over-year growth in a dataset. 5. Data Modeling Case: You have sales data and customer data in separate tables. How would you model this data in Power BI to analyze customer purchase behavior? 6. Visualizations Task: Describe how you would visualize sales data to show trends over time, comparing multiple product categories. 7. Report Optimization: A Power BI report is running slowly. What steps would you take to diagnose and fix the problem? 8. Scheduling Data Refreshes: How would you set up and manage automatic data refreshes for a weekly sales report in Power BI? 9. Row-level Security Implementation: How would you implement row-level security in Power BI for a report that needs to be accessed by multiple users with different data access privileges? 10. Troubleshooting a DAX Formula: You've written a DAX formula, but it's not giving the expected results. How would you troubleshoot this issue? 11. Integrating Power BI with Other Tools: Describe a scenario where you integrated Power BI with another tool or service, such as Excel or a web service. 12. User Interaction: How would you create a report in Power BI that allows users to interact with the data, such as using slicers or drill-downs? 13. Dealing with Data Source Changes: If the structure of a primary data source for your Power BI report changes (e.g., columns are added/removed), how would you handle updating your reports and dashboards? 14. Managing Power BI Service: How would you share a report with a team and set up appropriate access controls in Power BI Service? ➡️𝐑𝐞𝐟𝐞𝐫𝐫𝐚𝐥𝐬/𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞𝐬:: : https://lnkd.in/gcw-ziZm MADHU THANGELLA connect with me for more updates ! #dataanalyst #powerbi

Important Interview Questions for Data Analyst:8.O Excel: 36. Can you explain the purpose of the Excel VBA (Visual Basic for Applications) Editor, and what can you do with it? 37. How do you use Excel's Data Model feature, and what are its advantages? 38. Explain the difference between Excel's Absolute and Relative cell references, and when would you use each? 39. How do you use the Excel Data Validation feature to create a drop-down list? 40. Can you explain the purpose of the Excel Data Analysis ToolPak, and how do you install it?   SQL: 36. What is the purpose of the SQL SELECT DISTINCT statement, and when would you use it? 37. How do you use the SQL ORDER BY clause, and what are some common use cases for it? 38. Explain the difference between the SQL JOIN and UNION operators. 39. How do you use the SQL GROUP BY clause, and what is its significance? 40. Can you explain the purpose of the SQL CASE statement, and provide an example of its usage?   Power BI: 36. How do you use Power BI's Q&A (Question and Answer) feature, and what are its benefits? 37. What is the purpose of Power BI template apps, and how do you create and share them? 38. How do you create and manage relationships between tables in Power BI Desktop? 39. How do you create custom visuals in Power BI, and what tools can you use for development? 40. Can you explain the concept of Power BI paginated reports, and how do they differ from standard Power BI reports in terms of layout and functionality?   Follow Priyanka SG for more….     #DataAnalytics #InterviewPreparation #ExcelTips #SQL #PowerBI #DataScience #Analytics #CareerAdvice #JobSearch #TechCareers #interviewquetions

🚀 Power BI Developer Interview Experience! I recently had the chance to interview for a Power BI Developer role, and here’s how it went! I’m happy to share that I answered 8 out of 10 questions correctly, which boosted my confidence and experience. Here’s a breakdown of the questions I faced: 1️⃣ Tell me about yourself – Talked about my background, skills, and passion for data analysis 📊. 2️⃣ Tell me about your previous company and current designation – Shared my experience as a Junior Tableau Developer at Zadley 🧑💻. 3️⃣ What is the difference between Tableau and Power BI? – Explained the strengths of both tools and their use cases 📊 vs 📈. 4️⃣ Which data warehouse do you use in your current company? – Mentioned that we use BigQuery as our data warehouse in the cloud ☁️. 5️⃣ Tell me about joins in SQL – Broke down different types of joins (INNER, LEFT, RIGHT, FULL) 🔗. 6️⃣ What is UNION in SQL? – Explained how UNION combines results from multiple tables 🔄. 7️⃣ Write a query for two tables: Employee (4 columns) and Department (2 columns) with no matching columns, and retrieve all data – Tackled this SQL challenge successfully 💻. 8️⃣ What is a procedure query? – Explained how stored procedures simplify tasks 🔁. 9️⃣ What is Power Query Editor? – Discussed how it helps clean and transform data before analysis in Power BI 🔧. 🔟 What is ETL? – Described the Extract, Transform, Load process and its role in data workflows 🛠️. Answering 8 out of 10 questions correctly was a proud moment for me, and it definitely added to my professional growth 🌱. Excited to keep learning and evolving in my journey as a Power BI professional! 💪 #PowerBI #DataAnalytics #SQL #BigQuery #PowerQuery #ETL #InterviewExperience #CareerGrowth

Practical interview questions for an entry-level data analyst role in #Power_BI: 1. Data Import Scenario: Given a set of data in different formats (e.g., Excel, CSV, SQL Server), how would you import this data into Power BI? 2. Data Cleaning Exercise: You have a dataset with missing values and inconsistent formats. What steps would you take in Power BI to clean this data? 3. Handling Large Datasets: If you're working with a very large dataset that is slowing down Power BI, what strategies would you use to improve performance? 4. Complex DAX Challenge: Describe how you would use DAX to calculate year-over-year growth in a dataset. 5. Data Modeling Case: You have sales data and customer data in separate tables. How would you model this data in Power BI to analyze customer purchase behavior? 6. Visualizations Task: Describe how you would visualize sales data to show trends over time, comparing multiple product categories. 7. Report Optimization: A Power BI report is running slowly. What steps would you take to diagnose and fix the problem? 8. Scheduling Data Refreshes: How would you set up and manage automatic data refreshes for a weekly sales report in Power BI? 9. Row-level Security Implementation: How would you implement row-level security in Power BI for a report that needs to be accessed by multiple users with different data access privileges? 10. Troubleshooting a DAX Formula: You've written a DAX formula, but it's not giving the expected results. How would you troubleshoot this issue? 11. Integrating Power BI with Other Tools: Describe a scenario where you integrated Power BI with another tool or service, such as Excel or a web service. 12. User Interaction: How would you create a report in Power BI that allows users to interact with the data, such as using slicers or drill-downs? 13. Dealing with Data Source Changes: If the structure of a primary data source for your Power BI report changes (e.g., columns are added/removed), how would you handle updating your reports and dashboards? ➡️𝐑𝐞𝐟𝐞𝐫𝐫𝐚𝐥𝐬/𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞𝐬:: : https://lnkd.in/gcw-ziZm MADHU THANGELLA connect with me for more updates ! NOTE:- Reposting for new-audience #dataanalyst #bussinessanalyst

Hi 👋 #Datafam, #Sharing my recent #technical #interview questions for the Data Analyst role, hope it will help! Technical questions that were asked : 1. Asked me to explain my (Power BI) project worked on. 2. What is Cardinality in Power BI. Cardinality types? 3. Components in Power BI 4. What is Bidirectional cross filtering in Power BI 5. What is Data Modelling ? 6. What is RDBMS ? 7. What are there window functions in SQL. Why do we use it ( explain all ) 8. What is difference between Where and Having ? 9. What is difference between Stored procedure and Views ? 10. Movie dataset given ( 3- Columns - title, length, rating create 4 column based on ranking ( Based on the ranking of the length of the movies in each rating category) 11. Question on JOIN ( Explain all types of JOINS ) table A table B 10 10 10 10 11 14 12 NULL NULL 12 12 NULL Find Inner join, Left , right, cross join values. 12. What is VLOOKUP, why do we use it , Syntax of VLOOKUP ( Asked 1 question on VLOOKUP.) 13. Asked question on SUMIF, SUMIFS Let's connect and exchange our experiences and #support each other on our #Data #journey 🙌 🚀Tagging Leon Jose Shakra Shamim Khushboo Rani khushboo srivastava Mandar Patil Kratika Jain for better reach 🚀 #technicalinterview #dataanalyst #sql #mysql #DBMS #searchingforjobopportunities #bettereach #powerbidashboard #dashboard #jobsearch #lookingforjobopportunities #python #advancedexcel #powerbi #scenariobasedquestions

🚀 Day 14 of My Data Analyst Journey: Advanced SQL Techniques and Power BI Enhancements 🚀 I'm excited to share my progress from Day 14 of my journey to become a data analyst. Today, I focused on mastering advanced SQL techniques and refining our Power BI dashboards. SQL I tackled advanced SQL problems, including subqueries, views, stored procedures, and common table expressions (CTEs). These techniques are essential for efficient data management and complex querying, and I'm excited to deepen my expertise in these areas. Power BI   In Power BI, I worked on the feedback provided by stakeholders, correcting and updating our dashboards. Implementing this feedback ensures our dashboards are accurate, effective, and user-friendly, making them valuable tools for decision-making. Progress  Each day brings new challenges and learning opportunities. I’m thrilled with the progress I’m making in both SQL and Power BI, and I look forward to continuing this journey and sharing more updates. If you're passionate about data analysis, SQL, or Power BI, feel free to connect with me for guidance or advice. Let’s learn and grow together in this field! #DataAnalysis #PowerBI #SQL #LearningJourney #CareerGrowth #DashboardDesign #DataVisualization #HackerRank #StakeholderFeedback