DATA ANALYST Interview Questions (0-3 yr) (SQL, Power BI)
👉 Power BI:
Q1: Explain step-by-step how you will create a sales dashboard from scratch.
Q2: Explain how you can optimize a slow Power BI report.
Q3: Explain Any 5 Chart Types and Their Uses in Representing Different Aspects of Data.
👉SQL:
Q1: Explain the difference between RANK(), DENSE_RANK(), and ROW_NUMBER() functions using example.
Q2 – Q4 use Table: employee (EmpID, ManagerID, JoinDate, Dept, Salary)
Q2: Find the nth highest salary from the Employee table.
Q3: You have an employee table with employee ID and manager ID. Find all employees under a specific manager, including their subordinates at any level.
Q4: Write a query to find the cumulative salary of employees department-wise, who have joined the company in the last 30 days.
Q5: Find the top 2 customers with the highest order amount for each product category, handling ties appropriately. Table: Customer (CustomerID, ProductCategory, OrderAmount)
👉Behavioral:
Q1: Why do you want to become a data analyst and why did you apply to this company?
Q2: Describe a time when you had to manage a difficult task with tight deadlines. How did you handle it?
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👉 Power BI:
Q1: Explain step-by-step how you will create a sales dashboard from scratch.
Q2: Explain how you can optimize a slow Power BI report.
Q3: Explain Any 5 Chart Types and Their Uses in Representing Different Aspects of Data.
👉SQL:
Q1: Explain the difference between RANK(), DENSE_RANK(), and ROW_NUMBER() functions using example.
Q2 – Q4 use Table: employee (EmpID, ManagerID, JoinDate, Dept, Salary)
Q2: Find the nth highest salary from the Employee table.
Q3: You have an employee table with employee ID and manager ID. Find all employees under a specific manager, including their subordinates at any level.
Q4: Write a query to find the cumulative salary of employees department-wise, who have joined the company in the last 30 days.
Q5: Find the top 2 customers with the highest order amount for each product category, handling ties appropriately. Table: Customer (CustomerID, ProductCategory, OrderAmount)
👉Behavioral:
Q1: Why do you want to become a data analyst and why did you apply to this company?
Q2: Describe a time when you had to manage a difficult task with tight deadlines. How did you handle it?
I have curated best top-notch Data Analytics Resources 👇👇
https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02
Hope this helps you 😊
❤1
𝟓 𝐅𝐫𝐞𝐞 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞𝐬 𝐭𝐨 𝐁𝐮𝐢𝐥𝐝 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧𝐬 & 𝐀𝐠𝐞𝐧𝐭𝐬 𝐖𝐢𝐭𝐡𝐨𝐮𝐭 𝐂𝐨𝐝𝐢𝐧𝐠😍
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Want to Create AI Automations & Agents Without Writing a Single Line of Code?🧑💻
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𝐋𝐢𝐧𝐤👇:-
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Quick Recap of Power BI Concepts
1️⃣ Power Query: The data transformation engine that lets you clean, reshape, and combine data before loading it into Power BI.
2️⃣ Data Model: A structure of tables, relationships, and calculated fields that supports report creation.
3️⃣ Relationships: Connections between tables that allow you to create reports using data from multiple tables.
4️⃣ DAX (Data Analysis Expressions): A formula language used for creating calculated columns, measures, and custom tables.
5️⃣ Visualizations: Graphical representations of data, such as bar charts, line charts, maps, and tables.
6️⃣ Slicers: Interactive filters added to reports to help users refine data views.
7️⃣ Measures: Calculations created using DAX that perform dynamic aggregations based on the context in your report.
8️⃣ Calculated Columns: Static columns created using DAX expressions that perform row-by-row calculations.
9️⃣ Reports: A collection of visualizations, text, and slicers that tell a story using your data.
🔟 Power BI Service: The online platform where you publish, share, and collaborate on Power BI reports and dashboards.
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Hope it helps :)
1️⃣ Power Query: The data transformation engine that lets you clean, reshape, and combine data before loading it into Power BI.
2️⃣ Data Model: A structure of tables, relationships, and calculated fields that supports report creation.
3️⃣ Relationships: Connections between tables that allow you to create reports using data from multiple tables.
4️⃣ DAX (Data Analysis Expressions): A formula language used for creating calculated columns, measures, and custom tables.
5️⃣ Visualizations: Graphical representations of data, such as bar charts, line charts, maps, and tables.
6️⃣ Slicers: Interactive filters added to reports to help users refine data views.
7️⃣ Measures: Calculations created using DAX that perform dynamic aggregations based on the context in your report.
8️⃣ Calculated Columns: Static columns created using DAX expressions that perform row-by-row calculations.
9️⃣ Reports: A collection of visualizations, text, and slicers that tell a story using your data.
🔟 Power BI Service: The online platform where you publish, share, and collaborate on Power BI reports and dashboards.
I have curated the best interview resources to crack Power BI Interviews 👇👇
https://t.iss.one/DataSimplifier
Hope you'll like it
Like this post if you need more content like this 👍❤️
Share with credits: https://t.iss.one/sqlspecialist
Hope it helps :)
❤2