Data Analyst Interview Resources

Data Analyst Interview Resources

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Data Analyst Interview Resources

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Data Analyst Interview Resources

May 15, 2026, 09:09 PM

🧠 Advanced SQL Interview Question ⚡

📊 Find customers who placed orders in every month of 2025

Table: Orders

customer_id | order_date

🔍 Query:

SELECT customer_id
FROM Orders
WHERE YEAR(order_date) = 2025
GROUP BY customer_id
HAVING COUNT(DISTINCT MONTH(order_date)) = 12;

🎯 Why this question matters:

✅ Tests GROUP BY + HAVING concepts
✅ Uses DISTINCT counting logic
✅ Evaluates date function knowledge

🚀 Pro Tip:

✅ COUNT(DISTINCT ...) is commonly used in retention & activity analysis

✅ Month-wise activity questions are very common in analytics interviews

🔥 React ❤️ for more advanced SQL interview questions

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Data Analyst Interview Resources

May 15, 2026, 09:09 PM

🧠 Advanced SQL Interview Question ⚡

📊 Find the top 3 highest-paid employees from each department

Table: Employees

employee_id | employee_name
| department_id | salary

🔍 Query:

WITH ranked AS (
SELECT employee_id,
employee_name,
department_id,
salary,
DENSE_RANK() OVER (
PARTITION BY department_id
ORDER BY salary DESC
) AS rnk
FROM Employees
)
SELECT *
FROM ranked
WHERE rnk <= 3;

🎯 Why this question matters:

✅ Tests window functions (DENSE_RANK)
✅ Evaluates partitioning concepts
✅ Checks top-N problem-solving skills
✅ Frequently asked in advanced SQL interviews

🚀 Pro Tip:

Use DENSE_RANK() instead of ROW_NUMBER() when you want to handle salary ties correctly.

🔥 Top-N per group questions are extremely popular in Data Analyst interviews.

❤️ React for more advanced SQL interview questions

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Data Analyst Interview Resources

May 15, 2026, 09:09 PM

📷 Photo

📊 𝗧𝗼𝗽 𝟰 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗧𝗼 𝗟𝗲𝗮𝗿𝗻 𝗗𝗮𝘁𝗮 𝗶𝗻 𝟮𝟬𝟮𝟲 🚀

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Data Analyst Interview Resources

May 15, 2026, 09:09 PM

🚀 How to Land a Data Analyst Job Without Experience?

Many people asked me this question, so I thought to answer it here to help everyone. Here is the step-by-step approach i would recommend:

✅ Step 1: Master the Essential Skills

You need to build a strong foundation in:

🔹 SQL – Learn how to extract and manipulate data
🔹 Excel – Master formulas, Pivot Tables, and dashboards
🔹 Python – Focus on Pandas, NumPy, and Matplotlib for data analysis
🔹 Power BI/Tableau – Learn to create interactive dashboards
🔹 Statistics & Business Acumen – Understand data trends and insights

Where to learn?
📌 https://imp.i384100.net/RG6bJy
📌 SQL – Mode Analytics (Free)
📌 Python – Kaggle or https://datacamp.pxf.io/yqmkGy


✅ Step 2: Work on Real-World Projects

Employers care more about what you can do rather than just your degree. Build 3-4 projects to showcase your skills.

🔹 Project Ideas:

✅ Analyze sales data to find profitable products
✅ Clean messy datasets using SQL or Python
✅ Build an interactive Power BI dashboard
✅ Predict customer churn using machine learning (optional)

Use Kaggle, http://Data.gov/, or Google Dataset Search to find free datasets!


✅ Step 3: Build an Impressive Portfolio

Once you have projects, showcase them! Create:
📌 A GitHub repository to store your SQL/Python code
📌 A Tableau or Power BI Public Profile for dashboards
📌 A Medium or LinkedIn post explaining your projects

A strong portfolio = More job opportunities! 💡


✅ Step 4: Get Hands-On Experience

If you don’t have experience, create your own!
📌 Do freelance projects on Upwork/Fiverr
📌 Join an internship or volunteer for NGOs
📌 Participate in Kaggle competitions
📌 Contribute to open-source projects

Real-world practice > Theoretical knowledge!


✅ Step 5: Optimize Your Resume & LinkedIn Profile

Your resume should highlight:
✔️ Skills (SQL, Python, Power BI, etc.)
✔️ Projects (Brief descriptions with links)
✔️ Certifications (Google Data Analytics, Coursera, etc.)

Bonus Tip:
🔹 Write "Data Analyst in Training" on https://www.linkedin.com/company/sql-analysts/
🔹 Start posting insights from your learning journey
🔹 Engage with recruiters & join LinkedIn groups


✅ Step 6: Start Applying for Jobs

Don’t wait for the perfect job—start applying!
📌 Apply on LinkedIn, Indeed, and company websites
📌 Network with professionals in the industry
📌 Be ready for SQL & Excel assessments

Pro Tip: Even if you don’t meet 100% of the job requirements, apply anyway! Many companies are open to hiring self-taught analysts.

You don’t need a fancy degree to become a Data Analyst. Skills + Projects + Networking = Your job offer!

🔥 Your Challenge: Start your first project today and track your progress!

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

Hope it helps :)

Data Analyst Interview Resources

May 15, 2026, 09:09 PM

📷 Photo

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Data Analyst Interview Resources

May 15, 2026, 09:09 PM

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Data Analyst Interview Resources

May 15, 2026, 09:09 PM

Top 100 Data Analyst Interview Questions

✅ Data Analytics Basics
What is data analytics?
Difference between data analytics and data science?
What problems does a data analyst solve?
What are the types of data analytics?
What tools do data analysts use daily?
What is a KPI?
What is a metric vs KPI?
What is descriptive analytics?
What is diagnostic analytics?
What does a typical day of a data analyst look like?

Data and Databases
What is structured data?
What is semi-structured data?
What is unstructured data?
What is a database?
Difference between OLTP and OLAP?
What is a primary key?
What is a foreign key?
What is a fact table?
What is a dimension table?
What is a data warehouse?

SQL for Data Analysts
What is SELECT used for?
Difference between WHERE and HAVING?
What is GROUP BY?
What are aggregate functions?
Difference between INNER and LEFT JOIN?
What are subqueries?
What is a CTE?
How do you handle duplicates in SQL?
How do you handle NULL values?
What are window functions?

Excel for Data Analysis
What are pivot tables?
Difference between VLOOKUP and XLOOKUP?
What is conditional formatting?
What are COUNTIFS and SUMIFS?
What is data validation?
How do you remove duplicates in Excel?
What is IF formula used for?
Difference between relative and absolute reference?
How do you clean data in Excel?
What are common Excel mistakes analysts make?

Data Cleaning and Preparation
What is data cleaning?
How do you handle missing data?
How do you treat outliers?
What is data normalization?
What is data standardization?
How do you check data quality?
What is duplicate data?
How do you validate source data?
What is data transformation?
Why is data preparation important?

Statistics for Data Analysts
Difference between mean and median?
What is standard deviation?
What is variance?
What is correlation?
Difference between correlation and causation?
What is an outlier?
What is sampling?
What is distribution?
What is skewness?
When do you use median over mean?

Data Visualization
Why is data visualization important?
Difference between bar and line chart?
When do you use a pie chart?
What is a dashboard?
What makes a good dashboard?
What is a KPI card?
Common visualization mistakes?
How do you choose the right chart?
What is drill down?
What is data storytelling?

Power BI or Tableau
What is Power BI or Tableau used for?
What is a data model?
What is a relationship?
What is DAX?
Difference between measure and calculated column?
What is Power Query?
What are filters and slicers?
What is row level security?
What is refresh schedule?
How do you optimize reports?

Business and Case Questions
How do you analyze a sales drop?
How do you define success metrics?
What business metrics have you worked on?
How do you prioritize insights?
How do you validate insights?
What questions do you ask stakeholders?
How do you handle vague requirements?
How do you measure business impact?
How do you explain numbers to managers?
How do you recommend actions?

Projects and Real World
Explain your best project.
What data sources did you use?
How did you clean the data?
What insight had the most impact?
What challenge did you face?
How did you solve it?
How did stakeholders use your dashboard?
What would you improve in your project?
How do you handle tight deadlines?
Why should we hire you as a data analyst?

Double Tap ♥️ For Detailed Answers

Data Analyst Interview Resources

May 15, 2026, 09:09 PM

📷 Photo

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Data Analyst Interview Resources

May 15, 2026, 09:09 PM

✅ SQL Skills Every Data Analyst Must Know 🗄️📊

🧠 SQL BASICS
SELECT Statement
WHERE Clause
ORDER BY
LIMIT / TOP
DISTINCT
Aliases
Basic Syntax Rules
Filtering Data

🔗 JOINS
INNER JOIN
LEFT JOIN
RIGHT JOIN
FULL JOIN
SELF JOIN
Cross Join
Joining Multiple Tables
Handling NULLs in Joins

📊 AGGREGATIONS
COUNT()
SUM()
AVG()
MIN()
MAX()
GROUP BY
HAVING Clause
Conditional Aggregation

⚙️ ADVANCED SQL
Subqueries
Common Table Expressions (CTE)
Window Functions
CASE WHEN
Views
Temporary Tables
Stored Procedures
Indexing Basics

📂 DATA MANIPULATION
INSERT
UPDATE
DELETE
MERGE
TRUNCATE
Data Import
Data Export
Transactions (COMMIT, ROLLBACK)

🚀 PERFORMANCE OPTIMIZATION
Indexing
Query Optimization
Execution Plans
Avoiding Full Table Scans
Partitioning
Query Refactoring
Caching
Database Tuning

🧱 DATABASE CONCEPTS
Normalization
Denormalization
OLTP vs OLAP
Data Warehousing
Star Snowflake Schema
Constraints (PK, FK)
ACID Properties
Data Integrity

📊 REAL-WORLD SKILLS
Writing Business Queries
Data Cleaning using SQL
Report Generation
Dashboard Data Prep
Handling Large Datasets
Debugging Queries
Interview Problem Solving
Case Study Practice

SQL For Data Analytics: https://whatsapp.com/channel/0029Vb6hJmM9hXFCWNtQX944

💬 Tap ❤️ if this helped you follow for more SQL content!

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Data Analyst Interview Resources

May 15, 2026, 09:09 PM

📷 Photo

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Data Analyst Interview Resources

Apr 6, 2026, 04:03 AM

📷 Photo

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Data Analyst Interview Resources

Apr 6, 2026, 04:03 AM

📷 Photo

📢 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗔𝗹𝗲𝗿𝘁 – 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝘄𝗶𝘁𝗵 𝗔𝗜

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Data Analyst Interview Resources

Apr 6, 2026, 04:03 AM

🧠 SQL Interview Question (Moderate–Tricky & Top Performer Analysis)
📌

sales(region, salesperson_id, revenue)

❓ Ques :

👉 Find the top 2 highest revenue-generating salespersons in each region.

🧩 How Interviewers Expect You to Think

• Data is grouped by region 🌍
• Need ranking within each group
• Handle ties carefully (RANK / DENSE_RANK)
• Filter top N per group

💡 SQL Solution

SELECT region, salesperson_id, revenue
FROM (
SELECT
region,
salesperson_id,
revenue,
DENSE_RANK() OVER (PARTITION BY region ORDER BY revenue DESC) AS rnk
FROM sales
) t
WHERE rnk <= 2;

🔥 Why This Question Is Powerful

• Tests window functions (RANK / DENSE_RANK) 🧠
• Very common in business reporting & leaderboards 📊
• Checks understanding of partitioning + ordering logic

❤️ React if you want more such real interview-level SQL questions 🚀

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Data Analyst Interview Resources

Apr 6, 2026, 04:03 AM

📷 Photo

𝗧𝗼𝗽 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗧𝗼 𝗚𝗲𝘁 𝗛𝗶𝗴𝗵 𝗣𝗮𝘆𝗶𝗻𝗴 𝗝𝗼𝗯 𝗜𝗻 𝟮𝟬𝟮𝟲😍

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Data Analyst Interview Resources

Apr 6, 2026, 04:03 AM

🧠 SQL Interview Question (Moderate–Tricky & Duplicate Detection + Latest Record)
📌

employees(emp_id, email, updated_at)

❓ Ques :

👉 Find duplicate emails, but return only the latest record for each duplicate email.

🧩 How Interviewers Expect You to Think

• Identify duplicates using COUNT() 📊
• Use window functions for ranking
• Partition by email
• Order by latest timestamp
• Filter only duplicates + latest row

💡 SQL Solution

SELECT emp_id, email, updated_at
FROM (
SELECT
emp_id,
email,
updated_at,
COUNT(*) OVER (PARTITION BY email) AS cnt,
ROW_NUMBER() OVER (
PARTITION BY email
ORDER BY updated_at DESC
) AS rn
FROM employees
) t
WHERE cnt > 1
AND rn = 1;

🔥 Why This Question Is Powerful

• Tests window functions (COUNT OVER, ROW_NUMBER) 🧠
• Combines deduplication + ranking logic
• Very common in data cleaning scenarios 🧹
• Real-world use case: keeping latest user records

❤️ React if you want more such real interview-level SQL questions 🚀

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Data Analyst Interview Resources

Apr 6, 2026, 04:03 AM

📷 Photo

📢 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗔𝗹𝗲𝗿𝘁 – Data Analytics with Artificial Intelligence

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Data Analyst Interview Resources

Apr 6, 2026, 04:03 AM

Useful websites to practice and enhance your Data Analytics skills
👇👇

1. SQL

https://mode.com/sql-tutorial/introduction-to-sql

https://t.me/sqlspecialist

2. Python

https://www.learnpython.org/

https://bit.ly/3T7y4ta

https://www.geeksforgeeks.org/python-programming-language/learn-python-tutorial

3. R

https://www.datacamp.com/courses/free-introduction-to-r

4. Data Structures

https://leetcode.com/study-plan/data-structure/

https://www.udacity.com/course/data-structures-and-algorithms-in-python--ud513

5. Data Visualization

https://www.freecodecamp.org/learn/data-visualization/

https://www.tableau.com/learn/training/20223

https://www.workout-wednesday.com/power-bi-challenges/

6. Excel

https://excel-practice-online.com/

https://www.w3schools.com/EXCEL/index.php

Join https://t.me/free4unow_backup for more free courses

ENJOY LEARNING 👍👍

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Data Analyst Interview Resources

Apr 6, 2026, 04:03 AM

How to Become a Data Analyst from Scratch! 🚀

Whether you're starting fresh or upskilling, here's your roadmap:

➜ Master Excel and SQL - solve SQL problems from leetcode & hackerank
➜ Get the hang of either Power BI or Tableau - do some hands-on projects
➜ learn what the heck ATS is and how to get around it
➜ learn to be ready for any interview question
➜ Build projects for a data portfolio
➜ And you don't need to do it all at once!
➜ Fail and learn to pick yourself up whenever required

Whether it's acing interviews or building an impressive portfolio, give yourself the space to learn, fail, and grow. Good things take time ✅

Like if it helps ❤️

I have curated best 80+ top-notch Data Analytics Resources 👇👇
https://topmate.io/analyst/861634

Hope it helps :)

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Data Analyst Interview Resources

Apr 6, 2026, 04:03 AM

📷 Photo

𝗙𝗿𝗲𝘀𝗵𝗲𝗿𝘀 𝗖𝗮𝗻 𝗚𝗲𝘁 𝗮 𝟯𝟬 𝗟𝗣𝗔 𝗝𝗼𝗯 𝗢𝗳𝗳𝗲𝗿 𝘄𝗶𝘁𝗵 𝗔𝗜 & 𝗗𝗦 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻😍

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Data Analyst Interview Resources

Apr 6, 2026, 04:03 AM

✅ Power BI Interview Questions 🎯📊

1️⃣ What is Power BI?
A Microsoft tool for data visualization, reporting, and business intelligence.

2️⃣ What are the building blocks of Power BI?
• Datasets
• Reports
• Dashboards
• Tiles
• Visualizations

3️⃣ Difference between Power BI Desktop and Power BI Service?
• Desktop: Used to create and design reports
• Service: Cloud-based platform to share and collaborate

4️⃣ What is Power Query?
A data transformation tool for cleaning and shaping data before loading into the model.

5️⃣ What is DAX?
Data Analysis Expressions – a formula language used for calculations in Power BI.

6️⃣ What are measures and calculated columns?
• Measure: Calculated on aggregation (e.g. SUM of sales)
• Calculated Column: Row-level computation (e.g. profit = revenue - cost)

7️⃣ What is a slicer?
A visual filter that allows users to dynamically filter data on a report.

8️⃣ How do you handle data refresh in Power BI?
• Schedule refresh via Power BI Service
• Use gateways for on-prem data sources

9️⃣ What is the difference between direct query and import mode?
• Import: Data is loaded into Power BI
• Direct Query: Queries run directly on the source in real time

🔟 What is the Power BI Gateway?
A bridge between on-premise data sources and Power BI cloud service.

💬 Tap ❤️ for more

1,410

Data Analyst Interview Resources

Apr 1, 2026, 09:06 PM

📷 Photo

𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 𝗢𝗻 𝗕𝘆 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗘𝘅𝗽𝗲𝗿𝘁𝘀 😍

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Data Analyst Interview Resources

Apr 1, 2026, 09:06 PM

🧠 SQL Interview Question (Moderate–Tricky & Retention Analysis)
📌

subscriptions(user_id, start_date, end_date)

❓ Ques :

👉 Find users who renewed their subscription immediately after the previous one ended (no gap between subscriptions).

🧩 How Interviewers Expect You to Think

• Sort subscriptions by start_date for each user
• Use a window function to access the previous subscription end date
• Check if the next start_date equals the previous end_date

💡 SQL Solution

WITH sub_cte AS (
SELECT
user_id,
start_date,
end_date,
LAG(end_date) OVER (
PARTITION BY user_id
ORDER BY start_date
) AS prev_end_date
FROM subscriptions
)

SELECT DISTINCT user_id
FROM sub_cte
WHERE start_date = prev_end_date;

🔥 Why This Question Is Powerful

• Tests ability to analyze subscription lifecycle data
• Evaluates knowledge of window functions for sequential comparisons
• Similar logic used in retention and churn analysis

❤️ React if you want more real interview-level SQL questions like this. 🚀

1,280

3

Data Analyst Interview Resources

Apr 1, 2026, 09:06 PM

🚀 Data Analyst Roadmap

First things first 👇
❌ Don’t buy expensive courses to become a Data Analyst.

💡 Consistency > Certifications > Courses

Skills and practice are what actually get you hired.

✅ Mandatory Skills for a Data Analyst

1️⃣ SQL

Practice as much as possible.

This is the most important skill for any Data Analyst.

📚 Resource
YouTube Channel: Ankit Bansal
Playlist: SQL Practice / SQL Interview Questions

2️⃣ Excel

Advanced Excel is required.

Focus on:

• Formulas
• Pivot Tables
• Power Query Basics
• Data Cleaning
• Data Analysis functions

3️⃣ BI Tools

Choose ONE:

• Power BI
• Tableau

❌ Do NOT learn both at the same time.

If you choose Power BI, learn these deeply:

• Power Query
• DAX
• M Code

📚 Resources

YouTube Channel: Learnit Training
Video: Power BI DAX Full Tutorial for Beginners

YouTube Channel: Enterprise DNA
Playlist: DAX Practice Series

YouTube Channel: Goodly (Chandeep Chhabra)
Playlists: Power Query Tutorials and M Code Tutorials

4️⃣ Python

Focus mainly on:

• NumPy
• Pandas
• Basic visualization libraries (Matplotlib / Seaborn)

You don’t need deep ML knowledge for Data Analyst roles.

⭐ Good-to-Have Skills

These are not mandatory but help in career growth:

• Machine Learning (basic understanding)
• PySpark
• Databricks (becoming popular in data teams)
• Cloud platforms

Cloud options:

• Azure
• GCP

🎓 Certifications (Optional)

Certifications can help but are not required.

Useful ones:

• Microsoft Power BI Certification – PL-300
• Tableau Certification
• Azure Cloud Certification

❌ No other certifications are required.

Save your money.

Focus on skills, projects, and practice.

Credit: Mohan

1,290

Data Analyst Interview Resources

Mar 27, 2026, 08:52 AM

📷 Photo

𝗛𝗼𝘄 𝗥𝗮𝘄 𝗗𝗮𝘁𝗮 𝗕𝗲𝗰𝗼𝗺𝗲𝘀 𝗥𝗲𝗮𝗹 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗩𝗮𝗹𝘂𝗲

Data creates impact only when it turns into decisions. The analytics process can be seen as a simple journey:

🔹 Data – Raw, messy information collected from systems, users, or transactions.

🔹 Sorted – Cleaning and organizing the data by removing duplicates and fixing inconsistencies.

🔹 Arranged – Analyzing the data through aggregation, grouping, and exploration to find patterns.

🔹 Presented Visually – Using charts and dashboards to make insights easy to understand.

🔹 Explained with a Story – Connecting insights to real business problems and context.

🔹 Actionable – Turning insights into better decisions and improvements.

📊 Great analysts don’t just analyze data — they turn it into decisions that create value.

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Data Analyst Interview Resources

Mar 27, 2026, 08:52 AM

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Data Analyst Interview Resources

Mar 27, 2026, 08:52 AM

🧠 SQL Interview Question (Moderate–Tricky & Identifying Users with Increasing Transactions)
📌

transactions(transaction_id, user_id, transaction_date, amount)

❓ Ques :

👉 Find users whose transaction amount strictly increases with every new transaction.

🧩 How Interviewers Expect You to Think

• Sort transactions by date for each user
• Compare each amount with the previous one
• Identify users whose amounts always increase

💡 SQL Solution

WITH t AS (
SELECT
user_id,
amount,
LAG(amount) OVER (
PARTITION BY user_id
ORDER BY transaction_date
) AS prev_amount
FROM transactions
)

SELECT user_id
FROM t
GROUP BY user_id
HAVING SUM(
CASE
WHEN prev_amount IS NOT NULL AND amount <= prev_amount
THEN 1 ELSE 0
END
) = 0;

🔥 Why This Question Is Powerful

• Tests understanding of LAG() with conditional logic
• Evaluates ability to validate patterns across sequential data
• Reflects real-world analytics like tracking user spending growth trends

❤️ React if you want more tricky real interview-level SQL questions 🚀

1,150

4

Data Analyst Interview Resources

Mar 27, 2026, 08:52 AM

Top 100 Data Analyst Interview Questions

✅ Data Analytics Basics
What is data analytics?
Difference between data analytics and data science?
What problems does a data analyst solve?
What are the types of data analytics?
What tools do data analysts use daily?
What is a KPI?
What is a metric vs KPI?
What is descriptive analytics?
What is diagnostic analytics?
What does a typical day of a data analyst look like?

Data and Databases
What is structured data?
What is semi-structured data?
What is unstructured data?
What is a database?
Difference between OLTP and OLAP?
What is a primary key?
What is a foreign key?
What is a fact table?
What is a dimension table?
What is a data warehouse?

SQL for Data Analysts
What is SELECT used for?
Difference between WHERE and HAVING?
What is GROUP BY?
What are aggregate functions?
Difference between INNER and LEFT JOIN?
What are subqueries?
What is a CTE?
How do you handle duplicates in SQL?
How do you handle NULL values?
What are window functions?

Excel for Data Analysis
What are pivot tables?
Difference between VLOOKUP and XLOOKUP?
What is conditional formatting?
What are COUNTIFS and SUMIFS?
What is data validation?
How do you remove duplicates in Excel?
What is IF formula used for?
Difference between relative and absolute reference?
How do you clean data in Excel?
What are common Excel mistakes analysts make?

Data Cleaning and Preparation
What is data cleaning?
How do you handle missing data?
How do you treat outliers?
What is data normalization?
What is data standardization?
How do you check data quality?
What is duplicate data?
How do you validate source data?
What is data transformation?
Why is data preparation important?

Statistics for Data Analysts
Difference between mean and median?
What is standard deviation?
What is variance?
What is correlation?
Difference between correlation and causation?
What is an outlier?
What is sampling?
What is distribution?
What is skewness?
When do you use median over mean?

Data Visualization
Why is data visualization important?
Difference between bar and line chart?
When do you use a pie chart?
What is a dashboard?
What makes a good dashboard?
What is a KPI card?
Common visualization mistakes?
How do you choose the right chart?
What is drill down?
What is data storytelling?

Power BI or Tableau
What is Power BI or Tableau used for?
What is a data model?
What is a relationship?
What is DAX?
Difference between measure and calculated column?
What is Power Query?
What are filters and slicers?
What is row level security?
What is refresh schedule?
How do you optimize reports?

Business and Case Questions
How do you analyze a sales drop?
How do you define success metrics?
What business metrics have you worked on?
How do you prioritize insights?
How do you validate insights?
What questions do you ask stakeholders?
How do you handle vague requirements?
How do you measure business impact?
How do you explain numbers to managers?
How do you recommend actions?

Projects and Real World
Explain your best project.
What data sources did you use?
How did you clean the data?
What insight had the most impact?
What challenge did you face?
How did you solve it?
How did stakeholders use your dashboard?
What would you improve in your project?
How do you handle tight deadlines?
Why should we hire you as a data analyst?

Double Tap ♥️ For Detailed Answers

Data Analyst Interview Resources

Mar 27, 2026, 08:52 AM

📷 Photo

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Data Analyst Interview Resources

Mar 27, 2026, 08:52 AM

📷 Photo

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Data Analyst Interview Resources

Mar 25, 2026, 08:58 AM

📷 Photo

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