Data Analyst INTERVIEW QUESTIONS AND ANSWERS
👇👇

1.Can you name the wildcards in Excel?

Ans: There are 3 wildcards in Excel that can ve used in formulas.

Asterisk (*) – 0 or more characters. For example, Ex* could mean Excel, Extra, Expertise, etc.

Question mark (?) – Represents any 1 character. For example, R?ain may mean Rain or Ruin.

Tilde (~) – Used to identify a wildcard character (~, *, ?). For example, If you need to find the exact phrase India* in a list. If you use India* as the search string, you may get any word with India at the beginning followed by different characters (such as Indian, Indiana). If you have to look for India” exclusively, use ~.

Hence, the search string will be india~*. ~ is used to ensure that the spreadsheet reads the following character as is, and not as a wildcard.


2.What is cascading filter in tableau?

Ans: Cascading filters can also be understood as giving preference to a particular filter and then applying other filters on previously filtered data source. Right-click on the filter you want to use as a main filter and make sure it is set as all values in dashboard then select the subsequent filter and select only relevant values to cascade the filters. This will improve the performance of the dashboard as you have decreased the time wasted in running all the filters over complete data source.


3.What is the difference between .twb and .twbx extension?

Ans:
A .twb file contains information on all the sheets, dashboards and stories, but it won’t contain any information regarding data source. Whereas .twbx file contains all the sheets, dashboards, stories and also compressed data sources. For saving a .twbx extract needs to be performed on the data source. If we forward .twb file to someone else than they will be able to see the worksheets and dashboards but won’t be able to look into the dataset.


4.What are the various Power BI versions?

Power BI Premium capacity-based license, for example, allows users with a free license to act on content in workspaces with Premium capacity. A user with a free license can only use the Power BI service to connect to data and produce reports and dashboards in My Workspace outside of Premium capacity. They are unable to exchange material or publish it in other workspaces. To process material, a Power BI license with a free or Pro per-user license only uses a shared and restricted capacity. Users with a Power BI Pro license can only work with other Power BI Pro users if the material is stored in that shared capacity. They may consume user-generated information, post material to app workspaces, share dashboards, and subscribe to dashboards and reports. Pro users can share material with users who don’t have a Power BI Pro subscription while workspaces are at Premium capacity.

ENJOY LEARNING 👍👍

If you’re a Data Analyst, chances are you use 𝐒𝐐𝐋 every single day. And if you’re preparing for interviews, you’ve probably realized that it's not just about writing queries it's about writing smart, efficient, and scalable ones.

1. 𝐁𝐫𝐞𝐚𝐤 𝐈𝐭 𝐃𝐨𝐰𝐧 𝐰𝐢𝐭𝐡 𝐂𝐓𝐄𝐬 (𝐂𝐨𝐦𝐦𝐨𝐧 𝐓𝐚𝐛𝐥𝐞 𝐄𝐱𝐩𝐫𝐞𝐬𝐬𝐢𝐨𝐧𝐬)

Ever worked on a query that became an unreadable monster? CTEs let you break that down into logical steps. You can treat them like temporary views — great for simplifying logic and improving collaboration across your team.

2. 𝐔𝐬𝐞 𝐖𝐢𝐧𝐝𝐨𝐰 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬

Forget the mess of subqueries. With functions like ROW_NUMBER(), RANK(), LEAD() and LAG(), you can compare rows, rank items, or calculate running totals — all within the same query. Total

3. 𝐒𝐮𝐛𝐪𝐮𝐞𝐫𝐢𝐞𝐬 (𝐍𝐞𝐬𝐭𝐞𝐝 𝐐𝐮𝐞𝐫𝐢𝐞𝐬)

Yes, they're old school, but nested subqueries are still powerful. Use them when you want to filter based on results of another query or isolate logic step-by-step before joining with the big picture.

4. 𝐈𝐧𝐝𝐞𝐱𝐞𝐬 & 𝐐𝐮𝐞𝐫𝐲 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧

Query taking forever? Look at your indexes. Index the columns you use in JOINs, WHERE, and GROUP BY. Even basic knowledge of how the SQL engine reads data can take your skills up a notch.

5. 𝐉𝐨𝐢𝐧𝐬 𝐯𝐬. 𝐒𝐮𝐛𝐪𝐮𝐞𝐫𝐢𝐞𝐬

Joins are usually faster and better for combining large datasets. Subqueries, on the other hand, are cleaner when doing one-off filters or smaller operations. Choose wisely based on the context.

6. 𝐂𝐀𝐒𝐄 𝐒𝐭𝐚𝐭𝐞𝐦𝐞𝐧𝐭𝐬:

Want to categorize or bucket data without creating a separate table? Use CASE. It’s ideal for conditional logic, custom labels, and grouping in a single query.

7. 𝐀𝐠𝐠𝐫𝐞𝐠𝐚𝐭𝐢𝐨𝐧𝐬 & 𝐆𝐑𝐎𝐔𝐏 𝐁𝐘

Most analytics questions start with "how many", "what’s the average", or "which is the highest?". SUM(), COUNT(), AVG(), etc., and pair them with GROUP BY to drive insights that matter.

8. 𝐃𝐚𝐭𝐞𝐬 𝐀𝐫𝐞 𝐀𝐥𝐰𝐚𝐲𝐬 𝐓𝐫𝐢𝐜𝐤𝐲

Time-based analysis is everywhere: trends, cohorts, seasonality, etc. Get familiar with functions like DATEADD, DATEDIFF, DATE_TRUNC, and DATEPART to work confidently with time series data.

9. 𝐒𝐞𝐥𝐟-𝐉𝐨𝐢𝐧𝐬 & 𝐑𝐞𝐜𝐮𝐫𝐬𝐢𝐯𝐞 𝐐𝐮𝐞𝐫𝐢𝐞𝐬 𝐟𝐨𝐫 𝐇𝐢𝐞𝐫𝐚𝐫𝐜𝐡𝐢𝐞𝐬

Whether it's org charts or product categories, not all data is flat. Learn how to join a table to itself or use recursive CTEs to navigate parent-child relationships effectively.


You don’t need to memorize 100 functions. You need to understand 10 really well and apply them smartly. These are the concepts I keep going back to not just in interviews, but in the real world where clarity, performance, and logic matter most.

SAKU is hiring Data Analyst 🚀

Experience : 0-2 Years
Location : Gurugram

Apply link : https://www.linkedin.com/jobs/view/4282451021

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All the best! 👍👍

EXL is hiring Data Scientist 🚀

Experience : 2 Years
Location : India ( Remote )

Apply link : https://www.linkedin.com/jobs/view/4266437972

👉 WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226

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All the best! 👍👍

Bain & Company is hiring Analyst 🚀

Experience : 0-1 Years
Location : Gurugram

Apply link. : https://careers.bain.com/jobs/FolderDetail?folderId=97095&source=Linked-In

👉 WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226

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All the best! 👍👍

What seperates a good 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 from a great one?

The journey to becoming an exceptional data analyst requires mastering a blend of technical and soft skills.

☑ Technical skills:
- Querying Data with SQL
- Data Visualization (Tableau/PowerBI)
- Data Storytelling and Reporting
- Data Exploration and Analytics
- Data Modeling

☑ Soft Skills:
- Problem Solving
- Communication
- Business Acumen
- Curiosity
- Critical Thinking
- Learning Mindset

But how do you develop these soft skills?

◆ Tackle real-world data projects or case studies. The more complex, the better.

◆ Practice explaining your analysis to non-technical audiences. If they understand, you’ve nailed it!

◆ Learn how industries use data for decision-making. Align your analysis with business outcomes.

◆ Stay curious, ask 'why,' and dig deeper into your data. Don’t settle for surface-level insights.

◆ Keep evolving. Attend webinars, read books, or engage with industry experts regularly.

Data Visualization & Analytics Specialist who brings both technical depth and business alignment.

Here’s what we’re looking for:
Strong experience (5-6 yrs) in designing dashboards and visualizations using tools like Power BI, Qlik, or Tableau, with the ability to turn raw data into clear, impactful stories.
Solid hands-on skills in Python (5+ yrs) with a strong grasp of Pandas/Polars and experience building/managing data pipelines (Python/SQL).
Good understanding of data management and transformation using multi-source datasets, with advanced skills in Excel and PowerPoint for quick-turnaround reporting.
Comfortable working in Agile delivery models, including backlog management, user story writing, and tracking through Jira/Rally.
Strong communicator with the ability to collaborate across teams and geographies, manage stakeholders, and align on shared outcomes.
Exposure to GenAI use cases, SharePoint/Nintex workflows would be  an added advantage.

Location: Bangalore/Pune
Immediate Joiners only!
Send your resume to sakshi.agrawal3@in.ey.com

American Express is hiring!
Position: Analyst - Data Analytics
Qualifications: Bachelor’s/ Master’s Degree
Salary: 6.5 - 13 LPA (Expected)
Experience: Freshers/ Experienced
Location: Work From Home/ Office

📌Apply Now: https://aexp.eightfold.ai/careers/job/30549859?hl=en

https://aexp.eightfold.ai/careers/job/30449111?hl=en

👉 WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226

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All the best! 👍👍

Zelis is hiring Business Analyst

For 2022, 2023, 2024 grads
Location: Hyderabad

https://zelis.wd1.myworkdayjobs.com/ZelisCareers/job/India-Hyderabad/Business-Analyst_JR108647?source=LinkedIn

OLX India is hiring Business Analyst 🚀

Experience : 1-2 Year
Location : Gurugram

Apply link : https://www.linkedin.com/jobs/view/4281228951

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All the best! 👍👍

𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗥𝗼𝗮𝗱𝗺𝗮𝗽

𝟭. 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀: Master Python, SQL, and R for data manipulation and analysis.

𝟮. 𝗗𝗮𝘁𝗮 𝗠𝗮𝗻𝗶𝗽𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴: Use Excel, Pandas, and ETL tools like Alteryx and Talend for data processing.

𝟯. 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Learn Tableau, Power BI, and Matplotlib/Seaborn for creating insightful visualizations.

𝟰. 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀 𝗮𝗻𝗱 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝘀: Understand Descriptive and Inferential Statistics, Probability, Regression, and Time Series Analysis.

𝟱. 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Get proficient in Supervised and Unsupervised Learning, along with Time Series Forecasting.

𝟲. 𝗕𝗶𝗴 𝗗𝗮𝘁𝗮 𝗧𝗼𝗼𝗹𝘀: Utilize Google BigQuery, AWS Redshift, and NoSQL databases like MongoDB for large-scale data management.

𝟳. 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝗥𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴: Implement Data Quality Monitoring (Great Expectations) and Performance Tracking (Prometheus, Grafana).

𝟴. 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗧𝗼𝗼𝗹𝘀: Work with Data Orchestration tools (Airflow, Prefect) and visualization tools like D3.js and Plotly.

𝟵. 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗿: Manage resources using Jupyter Notebooks and Power BI.

𝟭𝟬. 𝗗𝗮𝘁𝗮 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 𝗮𝗻𝗱 𝗘𝘁𝗵𝗶𝗰𝘀: Ensure compliance with GDPR, Data Privacy, and Data Quality standards.

𝟭𝟭. 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴: Leverage AWS, Google Cloud, and Azure for scalable data solutions.

𝟭𝟮. 𝗗𝗮𝘁𝗮 𝗪𝗿𝗮𝗻𝗴𝗹𝗶𝗻𝗴 𝗮𝗻𝗱 𝗖𝗹𝗲𝗮𝗻𝗶𝗻𝗴: Master data cleaning (OpenRefine, Trifacta) and transformation techniques.

Data Analytics Resources
👇👇
https://t.me/sqlspecialist

Hope this helps you 😊

SQL isn't easy!

It’s the powerful language that helps you manage and manipulate data in databases.

To truly master SQL, focus on these key areas:

0. Understanding the Basics: Get comfortable with SQL syntax, data types, and basic queries like SELECT, INSERT, UPDATE, and DELETE.


1. Mastering Data Retrieval: Learn advanced SELECT statements, including JOINs, GROUP BY, HAVING, and subqueries to retrieve complex datasets.


2. Working with Aggregation Functions: Use functions like COUNT(), SUM(), AVG(), MIN(), and MAX() to summarize and analyze data efficiently.


3. Optimizing Queries: Understand how to write efficient queries and use techniques like indexing and query execution plans for performance optimization.


4. Creating and Managing Databases: Master CREATE, ALTER, and DROP commands for building and maintaining database structures.


5. Understanding Constraints and Keys: Learn the importance of primary keys, foreign keys, unique constraints, and indexes for data integrity.


6. Advanced SQL Techniques: Dive into CASE statements, CTEs (Common Table Expressions), window functions, and stored procedures for more powerful querying.


7. Normalizing Data: Understand database normalization principles and how to design databases to avoid redundancy and ensure consistency.


8. Handling Transactions: Learn how to use BEGIN, COMMIT, and ROLLBACK to manage transactions and ensure data integrity.


9. Staying Updated with SQL Trends: The world of databases evolves—stay informed about new SQL functions, database management systems (DBMS), and best practices.

⏳ With practice, hands-on experience, and a thirst for learning, SQL will empower you to unlock the full potential of data!

You can read detailed article here

I've curated essential SQL Interview Resources👇
https://t.me/DataSimplifier

Share with credits: https://t.me/sqlspecialist

Hope it helps :)

Meesho is hiring!
Position: Business Analyst, Analysts
Qualification: Bachelor’s/ Master’s/ MBA
Salary: 6.6 - 12 LPA (Expected)
Location: Bangalore, India

📌Apply Now: https://www.meesho.io/jobs/lead-business-analyst?id=c5c9c405-9daa-45cb-b990-7b608f5d695a

👉 WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226

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All the best! 👍👍

How you can learn Data Analytics in 28 days:

Week 1: Excel
• Learn functions (VLOOKUP, Pivot Tables)
• Clean and format data
• Analyze trends

Week 2: SQL
• Learn SELECT, WHERE, JOIN
• Query real datasets
• Aggregate and filter data

Week 3: Power BI/Tableau
• Build dashboards
• Create data visualizations
• Tell stories with data

Week 4: Real-World Project
• Analyze a data
• Share insights
• Build a portfolio
One skill at a time → Real progress in a month! Start today

Essential Skills Excel for Data Analysts 🚀

1️⃣ Data Cleaning & Transformation

Remove Duplicates – Ensure unique records.
Find & Replace – Quick data modifications.
Text Functions – TRIM, LEN, LEFT, RIGHT, MID, PROPER.
Data Validation – Restrict input values.

2️⃣ Data Analysis & Manipulation

Sorting & Filtering – Organize and extract key insights.
Conditional Formatting – Highlight trends, outliers.
Pivot Tables – Summarize large datasets efficiently.
Power Query – Automate data transformation.

3️⃣ Essential Formulas & Functions

Lookup Functions – VLOOKUP, HLOOKUP, XLOOKUP, INDEX-MATCH.
Logical Functions – IF, AND, OR, IFERROR, IFS.
Aggregation Functions – SUM, AVERAGE, MIN, MAX, COUNT, COUNTA.
Text Functions – CONCATENATE, TEXTJOIN, SUBSTITUTE.

4️⃣ Data Visualization
Charts & Graphs – Bar, Line, Pie, Scatter, Histogram.

Sparklines – Miniature charts inside cells.
Conditional Formatting – Color scales, data bars.
Dashboard Creation – Interactive and dynamic reports.

5️⃣ Advanced Excel Techniques
Array Formulas – Dynamic calculations with multiple values.
Power Pivot & DAX – Advanced data modeling.
What-If Analysis – Goal Seek, Scenario Manager.
Macros & VBA – Automate repetitive tasks.

6️⃣ Data Import & Export
CSV & TXT Files – Import and clean raw data.
Power Query – Connect to databases, web sources.
Exporting Reports – PDF, CSV, Excel formats.

Here you can find some free Excel books & useful resources: https://t.me/excel_data

Hope it helps :)

#dataanalyst

S&P Global is hiring!
Position: Data Analyst
Qualification: Bachelor’s/ Master’s Degree
Salary: 5 - 9 LPA (Expected)
Experience: Freshers/ Experienced
Location: Bangalore; Gurgaon; Hyderabad; Mumbai, India

📌Apply Now: https://careers.spglobal.com/jobs/317870

👉 WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226

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All the best! 👍👍

𝐆𝐄 𝐀𝐞𝐫𝐨𝐬𝐩𝐚𝐜𝐞 𝐈𝐧𝐭𝐞𝐫𝐧𝐬𝐡𝐢𝐩, 𝟐𝟎𝟐𝟓!
Positio: Data Science Intern
Qualification: Bachelor’s/ Master’s Degree
Salary: ₹ 30,000 - ₹ 50,000 Per Month (Expected)
Batch: 2024/ 2025/ 2026/ 2027
Experienc: Freshers
Locatio: Bengaluru, India

📌Apply Now: https://careers.geaerospace.com/global/en/job/R5016107/DT-Data-Science-Intern

👉WhatsApp Channel: https://whatsapp.com/channel/0029Vaxjq5a4dTnKNrdeiZ0J

👉Telegram Link: https://t.me/addlist/ID95piZJZa0wYzk5

All the best 👍👍

Collegedunia is hiring Data Analyst 🚀

Freshers are eligible ✅
Location : Gurugram
CTC : 4.5 LPA

Apply link : https://www.linkedin.com/jobs/view/4281798892

👉WhatsApp Channel: https://whatsapp.com/channel/0029Vaxjq5a4dTnKNrdeiZ0J

👉Telegram Link: https://t.me/addlist/ID95piZJZa0wYzk5

All the best 👍👍

McKinsey & Company is hiring Data Scientist 🚀

Experience : 2+ Years
Location : Bangalore

Apply link : http://www.mckinsey.com/careers/search-jobs/jobs/datascientist-95589?appsource=LinkedIn

👉WhatsApp Channel: https://whatsapp.com/channel/0029Vaxjq5a4dTnKNrdeiZ0J

👉Telegram Link: https://t.me/addlist/ID95piZJZa0wYzk5

All the best 👍👍

Capegemini is hiring Data Analyst

For 2023, 2024, 2025 grads
Location: Pune

https://careers.capgemini.com/job/Pune-Data-Analyst-B/1229271701/?feedId=388933

👉WhatsApp Channel: https://whatsapp.com/channel/0029Vaxjq5a4dTnKNrdeiZ0J

👉Telegram Link: https://t.me/addlist/ID95piZJZa0wYzk5

All the best 👍👍

If you are targeting your first Data Analyst job then this is why you should avoid guided projects

The common thing nowadays is "Coffee Sales Analysis" and "Pizza Sales Analysis"

I don't see these projects as PROJECTS

But as big RED flags

We are showing our SKILLS through projects, RIGHT?

Then what's WRONG with these projects?

Don't think from YOUR side

Think from the HIRING team's side

These projects have more than a MILLION views on YouTube

Even if you consider 50% of this NUMBER

Then just IMAGINE how many aspiring Data Analysts would have created this same project

Hiring teams see hundreds of resumes and portfolios on a DAILY basis

Just imagine how many times they would have seen the SAME titles of projects again and again

They would know that these projects are PUBLICLY available for EVERYONE

You have simply copied pasted the ENTIRE project from YouTube

So now if I want to hire a Data Analyst then how would I JUDGE you or your technical skills?

What is the USE of Pizza or Coffee sales analysis projects for MY company?

By doing such guided projects, you are involving yourself in a big circle of COMPETITION

I repeat, there were more than a MILLION views

So please AVOID guided projects at all costs

Guided projects are good for your personal PRACTICE and LinkedIn CONTENT

But try not to involve them in your PORTFOLIO or RESUME