Data Analytics

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I could then categorize customers into groups such as Active, At Risk, and Inactive and summarize them using a PivotTable." 4️⃣ How would you identify products with high sales but low profit? Sample Answer: "I would calculate both revenue and profit for each product. Then I would compare products using a PivotTable or scatter chart. For example, a product could have high revenue but a low profit margin because of high discounts or costs. I would investigate the underlying factors rather than judging product performance based only on revenue." 5️⃣ You find that 10% of transactions have missing customer IDs. What would you do? Sample Answer: "First, I would determine why the customer IDs are missing. I would check whether the information exists in another source or whether the records can be matched using another reliable identifier. If they cannot be recovered, I would assess how those transactions affect the analysis. I would not simply delete the records because doing so could change the total sales or other KPIs." 6️⃣ A stakeholder asks for a dashboard with 20 different KPIs. What would you do? Sample Answer: "I would first understand what decisions the stakeholder needs to make using the dashboard. Then I would prioritize the KPIs based on business importance and frequency of use. I would avoid putting every available metric on one screen because excessive information can make a dashboard difficult to use. I would separate critical KPIs from supporting metrics and use filters or drill-downs where appropriate." 7️⃣ Two departments provide different versions of the same Excel report. How would you determine which one is correct? Sample Answer: "I would compare the underlying data sources, business definitions, calculation logic, filters, date ranges, and refresh times. I would identify the exact point where the two reports start producing different results. Then I would reconcile the numbers against the authoritative source or agreed business definition. The goal would be to establish one consistent definition rather than simply choosing the report with the expected number." 8️⃣ How would you detect unusual transactions in Excel? Sample Answer: "I would first define what constitutes an unusual transaction based on the business context. Possible approaches include identifying values outside expected thresholds, unusually large transactions, unusual dates, abnormal frequencies, or significant deviations from historical patterns. I could use conditional formatting, statistical measures, PivotTables, or formulas to flag potential anomalies. I would then investigate the flagged records rather than automatically treating them as errors." 9️⃣ Your Excel dashboard works correctly today but breaks whenever new data is added. How would you fix it? Sample Answer: "I would investigate whether the issue is caused by fixed ranges, formulas, PivotTable sources, or inconsistent incoming data. I would convert the source data into an Excel Table or use Power Query so that the data range expands automatically. I would also make the transformation and calculation logic refreshable and test the dashboard with new records before considering it stable." 🔟 What makes a good Excel dashboard? Sample Answer: "A good dashboard should be clear, relevant, accurate, and easy to use. I would focus on: • Important KPIs • Clear visual hierarchy • Appropriate charts • Consistent formatting • Useful filters and slicers • Minimal unnecessary information • Clear labels and units • Fast refresh and reliable calculations Most importantly, the dashboard should help the user answer a business question or make a decision rather than simply display data." 📌 Double Tap ❤️ For More ----- 1.34 ₽ · /balance_help

📊 Data Analyst Interview Series — Part 10 Guys, let's continue our Data Analyst Interview Series. Today, let's focus on real-world Excel case-study questions. These are important because interviewers often want to know how you approach a business problem, not just whether you know a formula. 1️⃣ You receive a sales dataset with 1 million rows. How would you analyze it in Excel? Sample Answer: "First, I would understand the structure and business objective. Since the dataset is large, I would avoid relying heavily on worksheet formulas. I would use Power Query to import and transform the data and, if appropriate, load it into the Data Model. Then I would create measures or PivotTables for KPIs such as total sales, profit, order count, average order value, and sales growth. Finally, I would validate the results against the source data before presenting the analysis." 2️⃣ Sales have decreased by 20% this month. How would you investigate the reason? Sample Answer: "I would not assume that the overall decline has a single cause. I would break the analysis down by: • Region • Product • Customer segment • Sales channel • Date • Salesperson Then I would compare each segment with the previous period to identify where the decline is concentrated. I would also check for data-quality issues, missing transactions, changes in business rules, and incomplete data before drawing a conclusion." 3️⃣ How would you identify customers at risk of becoming inactive? Sample Answer: "First, I would define what 'inactive' means for the business, such as no purchase in the last 90 days. Then I would calculate each customer's most recent transaction date and calculate the number of days since that transaction. For example:

=TODAY()-Last_Purchase_Date

📊 Data Analyst Interview Series — Part 9 Guys, let's continue our Data Analyst Interview Series. Let's cover 10 more important Excel interview questions, with a stronger focus on formulas, data analysis, and practical situations. 👇 1️⃣ What is the difference between SUMPRODUCT and SUMIFS? Sample Answer: "SUMIFS is useful when I need to sum values based on one or more criteria. SUMPRODUCT can perform more flexible calculations by multiplying corresponding arrays and then summing the results. For example, if I want total revenue: =SUMPRODUCT(Quantity,Price) This multiplies each quantity by its corresponding price and adds the results." 2️⃣ How would you find the percentage of total sales for each region? Sample Answer: "I would first calculate total sales for each region and then divide each region's sales by the overall sales." =Region_Sales/Total_Sales "If the total sales is stored in a fixed cell, I would use an absolute reference so that the denominator doesn't change when the formula is copied." 3️⃣ How would you identify the first purchase made by each customer? Sample Answer: "I would identify the minimum transaction date for each customer." For example, with modern Excel: =MINIFS(Transaction_Date,Customer_ID,A2) "This gives the earliest transaction date associated with the customer." 4️⃣ How would you calculate the number of working days between two dates? Sample Answer: "I can use NETWORKDAYS to calculate the number of working days between two dates." =NETWORKDAYS(Start_Date,End_Date) "If the company has specific holidays, I can provide a holiday range as an additional argument." =NETWORKDAYS(Start_Date,End_Date,Holidays) 5️⃣ How would you extract the month name from a date? Sample Answer: "I can use the TEXT function to convert a date into a month name." =TEXT(A2,"mmmm") "This returns the full month name, such as January. If I need the abbreviated month name, I can use: =TEXT(A2,"mmm")" 6️⃣ How would you calculate year-over-year sales growth? Sample Answer: "I would compare the current year's sales with the previous year's sales." =(Current_Year_Sales-Previous_Year_Sales)/Previous_Year_Sales "For example, if sales increased from ₹80 lakh to ₹100 lakh: Growth = (100 - 80) / 80 = 25% I would also check that the comparison periods are equivalent." 7️⃣ What is a slicer in Excel? Sample Answer: "A slicer is an interactive filtering control commonly used with PivotTables and PivotCharts. Instead of opening filter menus, users can click buttons to filter the data. For example, a sales dashboard could have slicers for Region, Product Category, and Year." 8️⃣ How would you identify the month with the highest sales? Sample Answer: "I would first aggregate sales by month using a PivotTable or another appropriate method. Then I would identify the maximum monthly sales value and retrieve the corresponding month. For example, I could use MAX to find the highest value and XLOOKUP to return the associated month." =MAX(B2:B13) =XLOOKUP(MAX(B2:B13),B2:B13,A2:A13) 9️⃣ How would you compare two Excel datasets and identify missing records? Sample Answer: "I would identify a common unique key, such as Customer_ID or Transaction_ID, and compare the two datasets using XLOOKUP, COUNTIF, Power Query, or another suitable method. For example: =IF(COUNTIF(Sheet2!A:A,A2)=0,"Missing","Found") This allows me to identify records present in the first dataset but missing from the second." 🔟 Your manager asks you to reduce a manual Excel report that takes 4 hours every week. What would you do? Sample Answer: "First, I would understand the current reporting process and identify which steps are repetitive. I would then look for opportunities to automate data extraction, cleaning, calculations, and reporting. For example, I could use Power Query for data preparation, PivotTables or the Data Model for analysis, and formulas or VBA only where appropriate. DOUBLE TAP ❤️ FOR MORE

📊 Data Analyst Interview Series — Part 9 Guys, let's continue our Data Analyst Interview Series. Let's cover 10 more important Excel interview questions, with a stronger focus on formulas, data analysis, and practical situations. 👇 1️⃣ What is the difference between SUMPRODUCT and SUMIFS? Sample Answer: "SUMIFS is useful when I need to sum values based on one or more criteria. SUMPRODUCT can perform more flexible calculations by multiplying corresponding arrays and then summing the results. For example, if I want total revenue: =SUMPRODUCT(Quantity,Price) This multiplies each quantity by its corresponding price and adds the results." 2️⃣ How would you find the percentage of total sales for each region? Sample Answer: "I would first calculate total sales for each region and then divide each region's sales by the overall sales." =Region_Sales/Total_Sales "If the total sales is stored in a fixed cell, I would use an absolute reference so that the denominator doesn't change when the formula is copied." 3️⃣ How would you identify the first purchase made by each customer? Sample Answer: "I would identify the minimum transaction date for each customer." For example, with modern Excel: =MINIFS(Transaction_Date,Customer_ID,A2) "This gives the earliest transaction date associated with the customer." 4️⃣ How would you calculate the number of working days between two dates? Sample Answer: "I can use NETWORKDAYS to calculate the number of working days between two dates." =NETWORKDAYS(Start_Date,End_Date) "If the company has specific holidays, I can provide a holiday range as an additional argument." =NETWORKDAYS(Start_Date,End_Date,Holidays) 5️⃣ How would you extract the month name from a date? Sample Answer: "I can use the TEXT function to convert a date into a month name." =TEXT(A2,"mmmm") "This returns the full month name, such as January. If I need the abbreviated month name, I can use: =TEXT(A2,"mmm")" 6️⃣ How would you calculate year-over-year sales growth? Sample Answer: "I would compare the current year's sales with the previous year's sales." =(Current_Year_Sales-Previous_Year_Sales)/Previous_Year_Sales "For example, if sales increased from ₹80 lakh to ₹100 lakh: Growth = (100 - 80) / 80 = 25% I would also check that the comparison periods are equivalent." 7️⃣ What is a slicer in Excel? Sample Answer: "A slicer is an interactive filtering control commonly used with PivotTables and PivotCharts. Instead of opening filter menus, users can click buttons to filter the data. For example, a sales dashboard could have slicers for Region, Product Category, and Year." 8️⃣ How would you identify the month with the highest sales? Sample Answer: "I would first aggregate sales by month using a PivotTable or another appropriate method. Then I would identify the maximum monthly sales value and retrieve the corresponding month. For example, I could use MAX to find the highest value and XLOOKUP to return the associated month." =MAX(B2:B13) =XLOOKUP(MAX(B2:B13),B2:B13,A2:A13) 9️⃣ How would you compare two Excel datasets and identify missing records? Sample Answer: "I would identify a common unique key, such as Customer_ID or Transaction_ID, and compare the two datasets using XLOOKUP, COUNTIF, Power Query, or another suitable method. For example: =IF(COUNTIF(Sheet2!A:A,A2)=0,"Missing","Found") This allows me to identify records present in the first dataset but missing from the second." 🔟 Your manager asks you to reduce a manual Excel report that takes 4 hours every week. What would you do? Sample Answer: "First, I would understand the current reporting process and identify which steps are repetitive. I would then look for opportunities to automate data extraction, cleaning, calculations, and reporting. For example, I could use Power Query for data preparation, PivotTables or the Data Model for analysis, and formulas or VBA only where appropriate. DOUBLE TAP ❤️ FOR MORE

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8️⃣ You receive a dataset with inconsistent date formats. How would you clean it? Sample Answer: "I would first determine whether Excel recognizes the values as actual dates or text. If they are text, I would convert them into proper date values using Power Query, Text to Columns, DATEVALUE, or other appropriate methods depending on the format. After conversion, I would apply a consistent date format and validate a sample of records." 9️⃣ Your Excel file contains 500,000+ rows and is becoming slow. What would you do? Sample Answer: "I would first identify what is causing the performance issue. I would avoid unnecessary formulas across entire columns, reduce volatile formulas, remove unnecessary formatting, and check whether duplicate or unused data can be removed. For large datasets or repeatable transformations, I would consider Power Query or connecting Excel to a database instead of performing everything directly in worksheet formulas. I would choose the solution based on the size, frequency, and complexity of the analysis." 🔟 A manager says the dashboard shows ₹10 crore in sales, but the finance report shows ₹9.5 crore. How would you investigate? Sample Answer: "I would not immediately assume that either report is incorrect. First, I would compare the source datasets and definitions being used. I would check: • Date range • Sales definition • Filters • Currency conversion • Duplicate transactions • Cancelled or reversed transactions • Missing records • Data refresh timing • Inclusion or exclusion criteria Then I would reconcile the numbers step by step until I identify the exact reason for the ₹50 lakh difference. This is important because data analysts should validate the business logic behind a number, not just the number itself." 📌 Double Tap ❤️ For More ----- 1.23 ₽ · /balance_help

📊 Data Analyst Interview Series — Part 7 Guys, let's continue our Data Analyst Interview Series. Let's go deeper into Excel with scenario-based questions. These questions test whether you can actually use Excel to solve business problems, not just remember formulas. 1️⃣ How would you find the highest-selling product in each region? Sample Answer: "I would first summarize sales by Region and Product using a PivotTable. Then I would compare the sales within each region and identify the product with the highest value. For a dynamic solution, I could also use functions such as MAXIFS, FILTER, and XLOOKUP depending on the Excel version." 2️⃣ How would you calculate the percentage contribution of each product to total sales? Sample Answer: "I would calculate the total sales for each product and divide it by the overall sales."

=Product_Sales/Total_Sales

"If the total sales value is stored in a fixed cell, I would use an absolute reference."

=B2/$B$10

"I would then format the result as a percentage." 3️⃣ How would you identify customers whose sales have decreased compared with the previous month? Sample Answer: "I would first create a monthly sales summary by customer. Then I would compare the current month's sales with the previous month's sales. A negative difference would indicate a decrease."

=Current_Month_Sales-Previous_Month_Sales

"I could then use conditional formatting to highlight customers with negative changes." 4️⃣ How would you calculate a rolling 3-month average? Sample Answer: "A rolling average calculates the average over a moving window of time. For example, a 3-month rolling average can be calculated using the current month and the previous two months."

=AVERAGE(B2:B4)

"As I move down the dataset, the range moves forward by one month." 5️⃣ How would you calculate employee tenure in Excel? Sample Answer: "If I have an employee's joining date, I can calculate their tenure using DATEDIF or by calculating the difference between the joining date and today's date." For example:

=DATEDIF(A2,TODAY(),"Y")

"This returns the completed number of years." 6️⃣ How would you identify overdue payments? Sample Answer: "I would compare the due date with the current date and check whether the payment status is still pending." For example:

=IF(AND(B2<TODAY(),C2="Pending"),"Overdue","On Time")

"I could then use conditional formatting to highlight overdue transactions." 7️⃣ How would you identify the top 10% of customers by sales? Sample Answer: "I would first calculate total sales by customer. Then I could use a percentile-based approach or rank customers based on sales. For example, I could calculate the 90th percentile and identify customers whose sales are greater than or equal to that threshold."

=PERCENTILE.INC(B2:B100,0.9)

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“Here, the data is sorted by the second column in descending order and the first five rows are returned.” 🔟 How would you analyze sales performance month over month in Excel? Sample Answer: “I would first aggregate sales by month, usually using a PivotTable or Power Query. Then I would compare each month's sales with the previous month and calculate the percentage change.”

=(Current_Month-Previous_Month)/Previous_Month

“I would then visualize the trend using an appropriate chart and investigate significant increases or decreases to understand the underlying business reasons.” 📌 Important Excel areas for Data Analyst interviews: • Lookup functions • Conditional functions • Text functions • Date functions • PivotTables • Power Query • Data cleaning • Dynamic arrays • Charts and dashboards Double Tap ❤️ For More ----- 1.36 ₽ · /balance_help

📊 Data Analyst Interview Series — Part 6 Guys, let's continue our Data Analyst Interview Series. Here are 10 more important Excel interview questions you should know. 👇 1️⃣ What is the difference between INDEX-MATCH and VLOOKUP? Sample Answer: “VLOOKUP searches for a value in the first column of a range and returns a value from another column. INDEX-MATCH combines two functions. MATCH finds the position of a value, while INDEX returns the value from that position. INDEX-MATCH is more flexible than traditional VLOOKUP because the lookup column doesn't have to be the first column of the selected range.” 2️⃣ What is XLOOKUP and why is it preferred over VLOOKUP? Sample Answer: “XLOOKUP is a modern lookup function that provides more flexibility than VLOOKUP. It can look up values from left to right or right to left, allows a separate lookup and return range, and provides an argument for handling missing values. For example:”

=XLOOKUP(A2,Customer_ID,Customer_Name,"Not Found")

3️⃣ What is IFERROR and when would you use it? Sample Answer: “IFERROR allows me to return an alternative result when a formula produces an error. For example, if I'm calculating profit margin and revenue could be zero, I can prevent a #DIV/0! error.”

=IFERROR(Profit/Revenue,0)

“I use it carefully because hiding errors without understanding their cause can mask data-quality problems.” 4️⃣ What is the difference between CONCAT, CONCATENATE, and TEXTJOIN? Sample Answer: “These functions are used to combine text. CONCAT combines text from multiple cells or ranges. CONCATENATE is an older function that combines text values. TEXTJOIN is more flexible because it allows me to specify a delimiter and ignore empty cells.” Example:

=TEXTJOIN(", ",TRUE,A2:C2)

5️⃣ How would you extract the first, middle, or last part of a text value? Sample Answer: “I can use functions such as LEFT, RIGHT, and MID. For example:

=LEFT(A2,5)
=RIGHT(A2,4)
=MID(A2,3,5)

The appropriate function depends on the structure of the text and the business requirement.” 6️⃣ How do you find duplicate values using a formula? Sample Answer: “I can use COUNTIF to determine how many times a value appears. For example:”

=IF(COUNTIF(A:A,A2)>1,"Duplicate","Unique")

“This marks a value as Duplicate if it appears more than once in column A.” 7️⃣ What is Power Query in Excel? Sample Answer: “Power Query is a data preparation and transformation tool available in Excel. It can connect to different data sources and perform repeatable transformations such as removing duplicates, changing data types, filtering rows, splitting columns, merging datasets, and appending data. One major advantage is that once the transformation steps are created, they can be refreshed when new data arrives instead of manually repeating the entire process.” 8️⃣ What is the difference between Merge and Append in Power Query? Sample Answer: “Merge combines columns from two queries based on a matching key, similar to a JOIN in SQL. Append combines rows from two or more queries with similar structures, similar to UNION ALL in SQL. For example: Merge → combine Customer information with Customer Transactions. Append → combine January, February, and March sales datasets.” 9️⃣ How would you find the top 5 products by revenue in Excel? Sample Answer: “I would first calculate or summarize revenue by product, preferably using a PivotTable. Then I would sort the products in descending order and filter the top five. For a dynamic solution, I could also use modern Excel functions such as SORT and TAKE.” Example:

=TAKE(SORT(A2:B100,2,-1),5)

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Alternatively, depending on the Excel version and requirement, I could use functions such as SORT, FILTER, or LARGE.” 9️⃣ What is the difference between relative and absolute cell references? Sample Answer: “A relative reference changes when a formula is copied to another cell. For example: =A2**B2 An absolute reference remains fixed when the formula is copied. For example: =A2**$B$1 Absolute references are particularly useful when applying a calculation using a fixed assumption, tax rate, exchange rate, or target value.” 🔟 How would you clean a large dataset in Excel? Sample Answer: “I would first understand the structure and identify data-quality issues. My process would typically include: • Removing or investigating duplicates • Handling missing values • Standardizing text and date formats • Correcting inconsistent values • Checking data types • Identifying invalid or unusual values • Using formulas or Power Query for repeatable transformations • Validating the cleaned dataset before analysis For a large or recurring dataset, I would prefer Power Query rather than manually cleaning the data every time.” Double Tap ❤️ For Part-6

📊 Data Analyst Interview Series — Part 5 Guys, let's continue our Data Analyst Interview Series. This time, let's move to one of the most important skills for a Data Analyst: Excel. Here are 10 Excel interview questions you should know. 👇 1️⃣ What is a PivotTable and why is it used? Sample Answer: “A PivotTable is an Excel feature used to quickly summarize and analyze large datasets. It allows me to group, filter, and aggregate data without writing complex formulas. For example, I can use a PivotTable to calculate total sales by region, product, or month and quickly identify business trends.” 2️⃣ What is the difference between VLOOKUP and XLOOKUP? Sample Answer: “VLOOKUP searches for a value in the first column of a selected range and returns a value from another column. It has limitations such as primarily working from left to right. XLOOKUP is more flexible. It can search in any direction, provides better handling of missing values, and allows separate lookup and return ranges. For new Excel work, I would generally prefer XLOOKUP when it is available.” 3️⃣ What is the difference between COUNT, COUNTA, COUNTIF, and COUNTIFS? Sample Answer: “COUNT counts cells containing numbers. COUNTA counts non-empty cells. COUNTIF counts cells that meet one condition. COUNTIFS counts cells that meet multiple conditions.” Example: =COUNT(A2:A100) =COUNTA(A2:A100) =COUNTIF(B2:B100,"Completed") =COUNTIFS(B2:B100,"Completed",C2:C100,">1000") 4️⃣ What is the difference between SUMIF and SUMIFS? Sample Answer: “SUMIF is used when I have one condition, while SUMIFS is used when I need to apply multiple conditions. For example, to calculate sales for the India region: =SUMIF(A:A,"India",B:B) To calculate sales for India where the product is Laptop: =SUMIFS(C:C,A:A,"India",B:B,"Laptop") 5️⃣ How do you remove duplicate records in Excel? Sample Answer: “I first determine which columns should uniquely identify a record. Then I can use Excel's Remove Duplicates feature to identify and remove duplicate rows. However, I would not immediately delete duplicates. I would first verify whether they are genuine duplicates or legitimate repeated transactions.” 6️⃣ How do you handle missing values in Excel? Sample Answer: “First, I identify how many values are missing and understand why they are missing. Depending on the situation, I may replace them with an appropriate value, use a formula such as IF or IFERROR, flag them as ‘Unknown’, or exclude them if the business requirement allows it. I would avoid blindly replacing missing values because that can affect the accuracy of the analysis.” 7️⃣ What is conditional formatting? Sample Answer: “Conditional formatting automatically changes the appearance of cells based on specified conditions. For example, I can use it to highlight sales below target, overdue transactions, duplicate values, negative profit, or unusually high values. It is useful for quickly identifying patterns and exceptions in a dataset.” 8️⃣ How would you identify the top 10 customers by sales in Excel? Sample Answer: “I could use a PivotTable to summarize total sales by customer, sort the values in descending order, and filter the result to the top 10 customers.

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🔟 What is the difference between UNION and JOIN? Sample Answer: "JOIN combines columns from different tables based on a related key. UNION combines rows from the results of two SELECT statements with compatible column structures. For example, if I want to combine customer information with order information, I would typically use a JOIN. If I want to append two similar datasets containing the same type of records, I might use UNION." 📌 Double Tap ❤️ For Part 5

📊 Data Analyst Interview Series — Part 4 Guys, let's continue our Data Analyst Interview Series. Today, let's cover 10 practical SQL questions that are commonly asked in Data Analyst interviews. 👇 1️⃣ How do you find the highest salary in each department? Sample Answer: "I would use a window function such as DENSE_RANK() and partition the data by department."

WITH RankedEmployees AS (
    SELECT Employee_ID,
           Department,
           Salary,
           DENSE_RANK() OVER (
               PARTITION BY Department
               ORDER BY Salary DESC
           ) AS Salary_Rank
    FROM Employees
)
SELECT Employee_ID, Department, Salary
FROM RankedEmployees
WHERE Salary_Rank = 1;

2️⃣ How do you find customers who have never placed an order? Sample Answer: "I would use a LEFT JOIN between the Customers and Orders tables and then filter for customers where no matching order exists."

SELECT c.Customer_ID,
       c.Customer_Name
FROM Customers c
LEFT JOIN Orders o
    ON c.Customer_ID = o.Customer_ID
WHERE o.Customer_ID IS NULL;

3️⃣ How do you find the total sales for each customer? Sample Answer: "I would group the sales data by Customer_ID and use SUM() to calculate the total sales."

SELECT Customer_ID,
       SUM(Sales) AS Total_Sales
FROM Orders
GROUP BY Customer_ID;

4️⃣ How do you find the top 5 customers by sales? Sample Answer: "I would aggregate sales by customer, sort the result in descending order, and then return the top five customers."

SELECT Customer_ID,
       SUM(Sales) AS Total_Sales
FROM Orders
GROUP BY Customer_ID
ORDER BY Total_Sales DESC
LIMIT 5;

"The exact syntax for limiting rows can vary depending on the database, such as TOP in SQL Server." 5️⃣ How do you calculate the average order value? Sample Answer: "Average Order Value can be calculated by dividing total sales by the number of orders. If each row represents one order, AVG() can also be used directly on the order amount."

SELECT AVG(Order_Amount) AS Average_Order_Value
FROM Orders;

6️⃣ How would you identify customers who placed more than 5 orders? Sample Answer: "I would group the orders by Customer_ID and use HAVING to filter customers whose order count is greater than five."

SELECT Customer_ID,
       COUNT(**) AS Order_Count
FROM Orders
GROUP BY Customer_ID
HAVING COUNT(**) > 5;

7️⃣ How do you find records from the last 30 days? Sample Answer: "I would compare the date column with the current date and subtract 30 days. The exact syntax depends on the database." For example:

SELECT **
FROM Orders
WHERE Order_Date >= CURRENT_DATE - INTERVAL '30' DAY;

8️⃣ How do you find the total sales by month? Sample Answer: "I would extract the month from the order date, group the data by month, and calculate the total sales."

SELECT
    DATE_TRUNC('month', Order_Date) AS Month,
    SUM(Sales) AS Total_Sales
FROM Orders
GROUP BY DATE_TRUNC('month', Order_Date)
ORDER BY Month;

9️⃣ How do you find employees whose salary is above their department's average salary? Sample Answer: "I would calculate the average salary for each department and compare each employee's salary with that department-level average. A CTE makes this easier to read."

WITH DepartmentAverage AS (
    SELECT Department,
           AVG(Salary) AS Avg_Salary
    FROM Employees
    GROUP BY Department
)
SELECT e.Employee_ID,
       e.Department,
       e.Salary
FROM Employees e
JOIN DepartmentAverage d
    ON e.Department = d.Department
WHERE e.Salary > d.Avg_Salary;

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