Data Analyst Interview Resources
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📈 Analytical overview of Telegram channel Data Analyst Interview Resources
Channel Data Analyst Interview Resources (@dataanalystinterview) in the English language segment is an active participant. Currently, the community unites 52 129 subscribers, ranking 3 395 in the Education category and 6 615 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 52 129 subscribers.
According to the latest data from 14 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -349 over the last 30 days and by -16 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 2.42%. Within the first 24 hours after publication, content typically collects 0.72% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 260 views. Within the first day, a publication typically gains 374 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
- Thematic interests: Content is focused on key topics such as sql, row, |--, dataset, visualization.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“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”
Thanks to the high frequency of updates (latest data received on 15 November, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.
52 129
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| 10 | ✅ Power BI Interview Questions with Answers
1. What is DAX?
DAX (Data Analysis Expressions) is a formula language in Power BI used to create calculated columns, measures, and tables (e.g., SUM(), CALCULATE(), FILTER()) for business logic and KPIs.
2. What is the difference between Power Query and Power Pivot?
• Power Query: used for data loading, cleaning, and transforming (ETL) before loading into the model.
• Power Pivot: in‑memory data model and engine for DAX calculations and relationships (used during/after load).
3. What is the difference between measure vs calculated column?
• Measure: calculated at query time, used in visuals (e.g., summaries, ratios).
• Calculated column: computed at refresh time, stored in the model (uses more memory). Prefer measures for aggregations.
4. Explain CALCULATE() function.
CALCULATE() changes the context of a calculation by applying filters.
Example: Total Sales = CALCULATE(SUM(Sales[Amount]), Sales[Region] = "West") computes sum only for West region.
5. What are relationships (1:M, M:M)?
• 1:M (one‑to‑many): one row in the “1” table links to many rows in the “M” table (most common).
• M:M (many‑to‑many): handled via an intermediate bridge table with foreign keys on both sides.
6. How do you handle many‑to‑many?
Create a bridge table (junction table) that contains foreign keys to both related tables. Then set 1:M relationships from each original table to the bridge.
7. What is row‑level security (RLS)?
RLS restricts which rows a user can see in a report (e.g., by SalesRegion = “UserRegion”). Defined in the model with DAX filter expressions and applied by user roles.
8. How do you setup incremental refresh?
• Mark your tables as “incrementally refreshable” in the model.
• Define a date/time column and ranges (e.g., last 3 years full, last 60 days incremental).
• Set refresh schedule in the Power BI service with gateways if needed.
9. What is the difference between filters vs slicers?
• Filters: rules applied behind the scenes (e.g., in page/report level filters) that always apply.
• Slicers: interactive controls on the report canvas that users click to change what data is shown.
10. What is a data model?
A data model is the structure in Power BI that holds tables, relationships, calculated columns, measures, and hierarchies, forming the semantic layer for reporting.
11. How do you publish and share reports?
• Publish from Power BI Desktop to a workspace in Power BI Service.
• Share via apps, workspaces, or by granting access to specific users/groups; use RLS and sharing permissions to control who sees what.
12. What is Performance Analyzer tool?
Performance Analyzer in Power BI Desktop records how long each visual takes to render and which DAX queries run, helping identify slow visuals or large queries.
13. How do you create month‑on‑month growth DAX?
MoM Growth =
VAR CurrentSales = [Total Sales]
VAR PreviousSales = CALCULATE([Total Sales], DATEADD('Date'[Date], -1, MONTH))
RETURN
DIVIDE(CurrentSales - PreviousSales, PreviousSales)
14. How do you use custom visuals?
Download a custom visual from the marketplace, add it to the report in Power BI Desktop or Service, then configure like a native visual (fields, formatting, interactivity).
15. What is gateway for refresh?
An on‑premises gateway connects Power BI Service to data sources behind your firewall (e.g., SQL Server, file shares). It enables scheduled refresh for datasets that pull from those sources.
16. What is a .pbix file?
A .pbix file is the Power BI Desktop project file that contains the report layout, queries, data model, and DAX logic. It can be opened in Power BI Desktop or published to the service. | 723 |
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| 12 | Excel Basics for Data Analytics
Excel sits at the start of most analysis work.
What you use Excel for
• Cleaning raw data
• Exploring patterns
• Quick summaries for teams
Core concepts you must know
• Data setup
– Freeze header row. View → Freeze Top Row.
– Convert range to table. Ctrl + T.
– Use proper headers. No merged cells. One value per cell.
• Data cleaning
– Remove duplicates. Data → Remove Duplicates.
– Trim extra spaces. =TRIM(A2)
– Convert text to numbers. =VALUE(A2)
– Fix date format. Format Cells → Date.
– Handle blanks. Filter blanks, fill or delete.
– Find and replace. Ctrl + H.
• Essential formulas
– Math and counts
▪ SUM. =SUM(A2:A100)
▪ AVERAGE. =AVERAGE(A2:A100)
▪ MIN. =MIN(A2:A100)
▪ MAX. =MAX(A2:A100)
▪ COUNT. Counts numbers.
▪ COUNTA. Counts non blanks.
▪ COUNTBLANK. Counts blanks.
– Conditional formulas
▪ IF. =IF(A2>5000,"High","Low")
▪ IFS. Multiple conditions.
▪ AND. =AND(A2>5000,B2="West")
▪ OR. =OR(A2>5000,A2<1000)
– Lookup formulas
▪ XLOOKUP. =XLOOKUP(A2,Sheet2!A:A,Sheet2!B:B)
▪ VLOOKUP. Old but common.
▪ INDEX + MATCH. Powerful alternative.
– Text formulas
▪ LEFT. =LEFT(A2,4)
▪ RIGHT. =RIGHT(A2,2)
▪ MID. =MID(A2,2,3)
▪ LEN. =LEN(A2)
▪ CONCAT or TEXTJOIN.
▪ LOWER, UPPER, PROPER.
– Date formulas
▪ TODAY. Current date.
▪ NOW. Date and time.
▪ YEAR, MONTH, DAY.
▪ DATEDIF. Date difference.
▪ EOMONTH. Month end.
• Sorting and filtering
– Sort by multiple columns.
– Filter by value, color, condition.
– Top 10 filter for quick insights.
• Conditional formatting
– Highlight duplicates.
– Color scales for trends.
– Rules for thresholds. Example. Sales > 10000 in green.
• Pivot tables
– Insert → PivotTable.
– Rows. Category or Product.
– Values. Sum, Count, Average.
– Filters. Date, Region.
– Refresh after data update.
• Charts you must know
– Column. Comparison.
– Bar. Ranking.
– Line. Trends over time.
– Pie. Share or percentage.
– Combo. Actual vs target.
• Data validation
– Dropdown list. Data → Data Validation → List.
– Prevent wrong entries.
• Useful shortcuts
– Ctrl + Arrow. Jump data.
– Ctrl + Shift + Arrow. Select range.
– Ctrl + 1. Format cells.
– Ctrl + L. Apply filter.
– Alt + =. Auto sum.
– Ctrl + Z / Y. Undo redo.
• Common analyst mistakes to avoid
– Merged cells.
– Hard coded totals.
– Mixed data types in one column.
– No backup before cleaning.
• Daily practice task
– Download any sales CSV.
– Clean it.
– Build one pivot table.
– Create one chart.
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| 19 | ✅ Top 10 Excel Interview Questions & Answers 📊💼
1️⃣ What is Excel and why is it used?
Excel is a spreadsheet program used for organizing, analyzing, and storing data in tabular form. It's widely used for data analysis, reporting, and financial modeling.
2️⃣ Key Excel components?
- Ribbon: Main menu
- Worksheet: A single sheet
- Workbook: A collection of worksheets
- Cell: Intersection of a row and column
3️⃣ What are Excel Functions?
Predefined formulas that perform specific calculations (e.g., SUM, AVERAGE, IF, VLOOKUP).
4️⃣ VLOOKUP vs. INDEX/MATCH?
- VLOOKUP: Searches for a value in the first column and returns a corresponding value.
- INDEX/MATCH: More flexible and overcomes VLOOKUP limitations, better for larger datasets.
5️⃣ What are Pivot Tables?
Interactive tables that summarize and analyze large datasets, allowing you to easily rearrange and filter data.
6️⃣ Conditional Formatting?
Applies formatting (e.g., colors, icons) to cells based on specific criteria, making it easier to identify trends and outliers.
7️⃣ How to remove duplicates?
Use the "Remove Duplicates" feature in the Data tab to eliminate redundant rows based on selected columns.
8️⃣ What are Excel Charts?
Visual representations of data (e.g., bar charts, line charts, pie charts) that help communicate trends and insights.
9️⃣ How to protect a worksheet?
Use the "Protect Sheet" feature in the Review tab to prevent unauthorized changes to the worksheet structure and content.
🔟 What are Macros?
Automated sequences of commands that can be recorded and replayed to perform repetitive tasks efficiently.
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