Data Analyst Interview Resources
Join our telegram channel to learn how data analysis can reveal fascinating patterns, trends, and stories hidden within the numbers! 📊 For ads & suggestions: @love_data
Ko'proq ko'rsatish📈 Telegram kanali Data Analyst Interview Resources analitikasi
Data Analyst Interview Resources (@dataanalystinterview) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 52 629 obunachidan iborat bo'lib, Taʼlim toifasida 3 266-o'rinni va Hindiston mintaqasida 6 815-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 52 629 obunachiga ega bo‘ldi.
25 Avgust, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 80 ga, so‘nggi 24 soatda esa -1 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 1.96% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.83% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 1 032 marta ko‘riladi; birinchi sutkada odatda 439 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 2 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent sql, row, |--, dataset, visualization kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Join our telegram channel to learn how data analysis can reveal fascinating patterns, trends, and stories hidden within the numbers! 📊
For ads & suggestions: @love_data”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 26 Avgust, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
Ma'lumot yuklanmoqda...
| Sana | Obunachilarni jalb qilish | Esdaliklar | Kanallar | |
| 26 Avgust | +14 | |||
| 25 Avgust | +2 | |||
| 24 Avgust | 0 | |||
| 23 Avgust | 0 | |||
| 22 Avgust | 0 | |||
| 21 Avgust | +7 | |||
| 20 Avgust | +4 | |||
| 19 Avgust | +6 | |||
| 18 Avgust | +17 | |||
| 17 Avgust | +19 | |||
| 16 Avgust | +14 | |||
| 15 Avgust | +4 | |||
| 14 Avgust | +4 | |||
| 13 Avgust | +12 | |||
| 12 Avgust | +23 | |||
| 11 Avgust | +15 | |||
| 10 Avgust | +24 | |||
| 09 Avgust | +1 | |||
| 08 Avgust | +7 | |||
| 07 Avgust | +1 | |||
| 06 Avgust | +1 | |||
| 05 Avgust | +15 | |||
| 04 Avgust | +6 | |||
| 03 Avgust | +20 | |||
| 02 Avgust | +16 | |||
| 01 Avgust | 0 |
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| 3 | ✅ Excel Scenario-Based Questions for Interview & Practice 🧠📊
📌 Scenario 101
Question: You have a list of employees and their sales. You need to return the employee name who achieved the highest sales. How would you do it?
Answer: Use "XLOOKUP()" with "MAX()".
Example: "=XLOOKUP(MAX(B2:B100),B2:B100,A2:A100)"
This returns the employee associated with the highest sales.
📊 Scenario 102
Question: Your manager wants to calculate the total sales for the current month automatically. How would you do it?
Answer: Use "SUMIFS()" with date boundaries.
Example: "=SUMIFS(B:B,A:A,">="&EOMONTH(TODAY(),-1)+1,A:A,"<="&EOMONTH(TODAY(),0))"
This calculates sales from the first day through the last day of the current month.
📅 Scenario 103
Question: You need to determine the number of days between an order date and delivery date, but negative values should not appear. How would you handle it?
Answer: Use "MAX()".
Example: "=MAX(0,C2-B2)"
This returns the actual number of days when the delivery date is later, otherwise it returns "0".
📈 Scenario 104
Question: Your dataset contains sales values with occasional negative numbers representing refunds. Your manager wants total sales excluding refunds. How would you calculate it?
Answer: Use "SUMIF()" with a condition greater than zero.
Example: "=SUMIF(B2:B1000,">0",B2:B1000)"
This adds only positive sales values.
🔍 Scenario 105
Question: You have a column containing "First Name", "Last Name", and "Department", and you need to create a unique employee identifier such as "John_Smith_IT". How would you do it?
Answer: Combine the fields using "&" or "TEXTJOIN()".
Example: "=TEXTJOIN("_",TRUE,A2,B2,C2)"
This combines the values using an underscore separator.
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| 4 | 🔥 Most Asked SQL JOIN Patterns (Real Business Problems)
🔹 Find Customers Who Never Placed an Order → LEFT JOIN + NULL Check
🔹 Match Employees With Their Managers → SELF JOIN
🔹 Find Products Without Suppliers → LEFT JOIN
🔹 Generate Complete Sales Reports → INNER JOIN Across Multiple Tables
🔹 Compare Current & Previous Month Sales → SELF JOIN / CTE
🔹 Find Orders With Missing Customer Records → LEFT JOIN
🔹 Identify Common Customers Across Two Platforms → INNER JOIN
🔹 Find Products Purchased Together → SELF JOIN
🔹 Combine Sales From Multiple Sources → UNION ALL
🔹 Build Customer Purchase History → Multiple JOINs
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| 6 | ✅ Excel Scenario-Based Questions for Interview & Practice 🧠📊
📌 Scenario 96
Question: You have a dataset with thousands of rows and want to quickly identify the highest sales transaction for each region. How would you do it?
Answer: Use "MAXIFS()".
Example:
"=MAXIFS($B$2:$B$1000,$A$2:$A$1000,D2)"
Where "A" contains Region, "B" contains Sales, and "D2" contains the region you want to analyze.
📊 Scenario 97
Question: Your manager wants to calculate the number of unique products sold in each region. How would you do it in modern Excel?
Answer: Use "FILTER()", "UNIQUE()", and "COUNTA()".
Example:
"=COUNTA(UNIQUE(FILTER(B2:B1000,A2:A1000=D2)))"
This counts distinct products for the region specified in "D2".
📅 Scenario 98
Question: You have a monthly sales report and want users to select a month from a dropdown and automatically display the corresponding sales. How would you do it?
Answer: Create a dropdown using Data Validation and use "XLOOKUP()".
Example:
"=XLOOKUP(E2,A2:A13,B2:B13,"Not Found")"
Where "E2" contains the selected month.
📈 Scenario 99
Question: Your Excel report contains formulas that should not be visible to users, but users still need to enter data into specific cells. How would you protect the workbook?
Answer:
1. Select input cells → Format Cells → Protection → Unlock them.
2. Keep formula cells locked.
3. Go to Review → Protect Sheet.
4. Set a password if required.
This allows users to edit only the designated input cells.
🔍 Scenario 100
Question: Your manager gives you a large, messy dataset containing duplicates, missing values, inconsistent formats, and multiple files. You need to create a clean, refreshable report. What approach would you take?
Answer: Use a combination of Power Query, Excel Tables, Pivot Tables, and Data Validation.
A practical workflow would be:
➡️ Import and combine files using Power Query
➡️ Remove duplicates and handle missing values
➡️ Standardize data formats
➡️ Load the cleaned data into an Excel Table
➡️ Build Pivot Tables/Pivot Charts for analysis
➡️ Add Slicers for interactive filtering
➡️ Refresh the report whenever new data is received
💬 Double Tap ♥️ For More!
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| 8 | ✅ Excel Scenario-Based Questions for Interview & Practice 🧠📊
📌 Scenario 91
Question: You have sales data for multiple regions and want to automatically return the region with the highest sales. How would you do it?
Answer: Use "INDEX()" with "MATCH()" and "MAX()".
Example:
"=INDEX(A2:A10,MATCH(MAX(B2:B10),B2:B10,0))"
This returns the region corresponding to the highest sales value.
📊 Scenario 92
Question: You need to calculate the average sales for transactions greater than ₹50,000. How would you do it?
Answer: Use "AVERAGEIF()".
Example:
"=AVERAGEIF(B2:B100,">50000",B2:B100)"
This calculates the average of only those sales values greater than ₹50,000.
📅 Scenario 93
Question: You have a list of dates and want to group them into months for reporting. How would you do it?
Answer: Use a Pivot Table.
Add the Date field to Rows → Right-click any date → Group → Select Months (and Years if required).
📈 Scenario 94
Question: Your manager wants to see sales performance visually and interactively by region, product, and month. What would you use?
Answer: Create a Pivot Chart with Slicers.
Create a Pivot Table → Insert Pivot Chart → Add slicers for Region, Product, and other relevant fields. This allows users to filter the report interactively.
🔍 Scenario 95
Question: You need to identify the 3rd highest unique sales value, even when duplicate sales amounts exist. How would you do it?
Answer: In modern Excel, combine "UNIQUE()" and "LARGE()".
Example:
"=LARGE(UNIQUE(B2:B100),3)"
This returns the 3rd highest distinct sales value.
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| 10 | ✅ Excel Scenario-Based Questions for Interview & Practice 🧠📊
📌 Scenario 86
Question: You have a sales dataset with multiple transactions for the same customer. Your manager wants to calculate each customer's total sales without creating a Pivot Table. How would you do it?
Answer: Use SUMIF().
Example:
=SUMIF($A$2:$A$100,A2,$B$2:$B$100)
Where A contains Customer IDs and B contains Sales.
📊 Scenario 87
Question: You need to find the percentage of sales contributed by each region compared with total company sales. How would you calculate it?
Answer: Divide the region's sales by the total sales.
Example:
=B2/SUM($B$2:$B$10)
Format the result as a Percentage.
📅 Scenario 88
Question: Your manager wants to know whether each transaction occurred on a weekend. How would you identify it?
Answer: Use WEEKDAY() with IF().
Example:
=IF(WEEKDAY(A2,2)>5,"Weekend","Weekday")
With 2 as the second argument, Monday = 1 and Sunday = 7.
📈 Scenario 89
Question: You have a list of sales values and need to calculate the median sales amount instead of the average. Which function would you use?
Answer: Use MEDIAN().
Example:
=MEDIAN(B2:B100)
This returns the middle value when the sales values are arranged in order.
🔍 Scenario 90
Question: Your dataset contains product names with unwanted line breaks copied from another system. How would you remove them?
Answer: Use CLEAN().
Example:
=CLEAN(A2)
For extra spaces as well, you can combine it with TRIM():
=TRIM(CLEAN(A2))
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2.13 ₽ · /balance_help | 595 |
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| 13 | ✅ Excel Scenario-Based Questions for Interview & Practice 🧠📊
📌 Scenario 81
Question: You have a list of sales transactions and need to calculate a running total that updates as you move down the rows. How would you do it?
Answer: Use SUM() with an expanding range.
Example:
=SUM($B$2:B2)
Copy the formula down. Each row will show the cumulative sales up to that transaction.
📊 Scenario 82
Question: Your manager wants to compare this year's sales with last year's sales and calculate the growth percentage. How would you do it?
Answer: Use the percentage growth formula.
Example:
=(B2-C2)/C2
Where B2 is the current year's sales and C2 is the previous year's sales. Format the result as a Percentage.
📅 Scenario 83
Question: You have a list of employee joining dates and want to identify employees who joined within the last 30 days. How would you do it?
Answer: Use IF() with TODAY().
Example:
=IF(AND(A2>=TODAY()-30,A2<=TODAY()),"Joined Last 30 Days","Older")
📈 Scenario 84
Question: Your sales report contains values such as "₹1,000", "₹2,500", and "₹5,000" stored as text. How would you convert them into numbers?
Answer: Remove the currency symbol and convert the remaining text to a number.
Example:
=VALUE(SUBSTITUTE(A2,"₹",""))
This converts the text value into a numeric value that can be used in calculations.
🔍 Scenario 85
Question: You need to compare two lists of Employee IDs and identify which IDs are missing from the second list. How would you do it?
Answer: Use XLOOKUP() with ISNA().
Example:
=IF(ISNA(XLOOKUP(A2,List2!A:A,List2!A:A)),"Missing","Found")
This identifies whether each Employee ID from the first list exists in the second list.
💬 Double Tap ♥️ For More!
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2.17 ₽ · /balance_help | 672 |
| 14 | 🔥 SQL Interview Concept You MUST Know: COUNT()
COUNT() is one of the most commonly asked SQL functions in Data Analyst interviews.
It helps you count rows, records, or unique values, making it essential for reporting and data analysis.
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🔹 Counts rows in a table
🔹 Can count non-NULL values using a column
🔹 COUNT(*) includes all rows
🔹 COUNT(DISTINCT column) counts unique values
🔹 Frequently used with GROUP BY
💡 Common interview use cases:
✅ Counting total customers
✅ Finding the number of orders per customer
✅ Counting unique products sold
✅ Measuring website visits
✅ Creating summary reports and dashboards
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| 17 | 🔥 SQL Interview Concept You MUST Know: LEAD()
LEAD() is a powerful SQL window function that lets you access data from the next row without using a self join.
It's widely used in analytics to compare current values with future values in a dataset.
📌 Key points:
🔹 Retrieves values from the next row
🔹 Uses the OVER() clause
🔹 Eliminates the need for self joins
🔹 Ideal for sequential and time-series analysis
🔹 Common in advanced SQL interview questions
💡 Common interview use cases:
✅ Comparing current and next month's sales
✅ Calculating future growth trends
✅ Identifying changes between consecutive records
✅ Tracking customer activity over time
✅ Building analytical business reports
❤️ React if you want more SQL interview concepts explained in a simple way. | 911 |
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