𝗪𝗮𝗻𝘁 𝘁𝗼 𝗸𝗻𝗼𝘄 𝘄𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝘀 𝗶𝗻 𝗮 𝗿𝗲𝗮𝗹 𝗱𝗮𝘁𝗮 𝗮𝗻𝗮𝗹𝘆𝘀𝘁 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄?
𝗕𝗮𝘀𝗶𝗰 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻
-Brief introduction about yourself.
-Explanation of how you developed an interest in learning Power BI despite having a chemical background.
𝗧𝗼𝗼𝗹𝘀 𝗣𝗿𝗼𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆
-Discussion about the tools you are proficient in.
-Detailed explanation of a project that demonstrated your proficiency in these tools.
𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗘𝘅𝗽𝗹𝗮𝗻𝗮𝘁𝗶𝗼𝗻
Explain about any Data Analytics Project you did, below are some follow-up questions for sales related data analysis project
Follow-up Question:
Was there any improvement in sales after building the report?
Provide a clear before and after scenario in sales post-report creation.
What areas did you identify where the company was losing sales, and what were your recommendations?
- How do you check the quality of data when it's given to you?
Explain your methods for ensuring data quality.
- How do you handle null values? Describe your approach to managing null values in datasets.
𝗦𝗤𝗟 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀
-Explain the order in which SQL clauses are executed.
-Write a query to find the percentage of the 18-year-old population.
Details: You are given two tables:
Table 1: Contains states and their respective populations.
Table 2: Contains three columns (state, gender, and population of 18-year-olds).
-Explain window functions and how to rank values in SQL.
- Difference between JOIN and UNION.
-How to return unique values in SQL.
𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝗿𝗮𝗹 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀
-Solve a puzzle involving 3 gallons of water in one jar and 2 gallons in another to get exactly 4 gallons.
Step-by-step solution for the water puzzle.
- What skills have you learned on your own? Discuss the skills you self-taught and their impact on your career.
-Describe cases when you showcased team spirit.
-⭐ 𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮 𝗔𝗽𝗽 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻
Scenario: Choose any social media app (I choose Discord).
Question: What function/feature would you add to the Discord app, and how would you track its success?
- Rate yourself on Excel, SQL, and Python out of 10.
- What are your strengths in data analytics?
I have curated best 80+ top-notch Data Analytics Resources 👇👇
https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02
Like if it helps :)
𝗕𝗮𝘀𝗶𝗰 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻
-Brief introduction about yourself.
-Explanation of how you developed an interest in learning Power BI despite having a chemical background.
𝗧𝗼𝗼𝗹𝘀 𝗣𝗿𝗼𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆
-Discussion about the tools you are proficient in.
-Detailed explanation of a project that demonstrated your proficiency in these tools.
𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗘𝘅𝗽𝗹𝗮𝗻𝗮𝘁𝗶𝗼𝗻
Explain about any Data Analytics Project you did, below are some follow-up questions for sales related data analysis project
Follow-up Question:
Was there any improvement in sales after building the report?
Provide a clear before and after scenario in sales post-report creation.
What areas did you identify where the company was losing sales, and what were your recommendations?
- How do you check the quality of data when it's given to you?
Explain your methods for ensuring data quality.
- How do you handle null values? Describe your approach to managing null values in datasets.
𝗦𝗤𝗟 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀
-Explain the order in which SQL clauses are executed.
-Write a query to find the percentage of the 18-year-old population.
Details: You are given two tables:
Table 1: Contains states and their respective populations.
Table 2: Contains three columns (state, gender, and population of 18-year-olds).
-Explain window functions and how to rank values in SQL.
- Difference between JOIN and UNION.
-How to return unique values in SQL.
𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝗿𝗮𝗹 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀
-Solve a puzzle involving 3 gallons of water in one jar and 2 gallons in another to get exactly 4 gallons.
Step-by-step solution for the water puzzle.
- What skills have you learned on your own? Discuss the skills you self-taught and their impact on your career.
-Describe cases when you showcased team spirit.
-⭐ 𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮 𝗔𝗽𝗽 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻
Scenario: Choose any social media app (I choose Discord).
Question: What function/feature would you add to the Discord app, and how would you track its success?
- Rate yourself on Excel, SQL, and Python out of 10.
- What are your strengths in data analytics?
I have curated best 80+ top-notch Data Analytics Resources 👇👇
https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02
Like if it helps :)
❤4
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?
I have curated best top-notch Data Analytics Resources 👇👇
https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02
Hope this helps you 😊
👉 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
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.
I have curated the best interview resources to crack Power BI Interviews 👇👇
https://t.me/DataSimplifier
Hope you'll like it
Like this post if you need more content like this 👍❤️
Share with credits: https://t.me/sqlspecialist
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.me/DataSimplifier
Hope you'll like it
Like this post if you need more content like this 👍❤️
Share with credits: https://t.me/sqlspecialist
Hope it helps :)
❤3