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Tiger Analytics Data Analyst Interview Questions and Answers

Updated 21 Mar 2025

8 Interview questions

A Data Analyst was asked
Q. Write a SQL query involving joins and a WHERE clause.
Ans. 

Understanding SQL joins with WHERE clause is crucial for filtering data from multiple tables effectively.

  • INNER JOIN: Combines rows from two tables where there is a match. Example: SELECT * FROM Orders INNER JOIN Customers ON Orders.CustomerID = Customers.CustomerID;

  • LEFT JOIN: Returns all rows from the left table and matched rows from the right table. Example: SELECT * FROM Customers LEFT JOIN Orders ON Customers.C...

A Data Analyst was asked
Q. Explain overfitting.
Ans. 

Overfitting occurs when a model learns the noise in the training data rather than the underlying pattern.

  • Overfitting happens when a model is too complex and captures noise in the training data.

  • It leads to poor generalization to new, unseen data.

  • Regularization techniques like L1/L2 regularization can help prevent overfitting.

  • Cross-validation can be used to detect and prevent overfitting.

  • Example: A decision tree wit...

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A Data Analyst was asked
Q. How does a random forest work?
Ans. 

Random forest is an ensemble learning method that builds multiple decision trees and merges their predictions.

  • Random forest creates a set of decision trees from randomly selected subsets of the training data.

  • Each tree in the random forest independently predicts the outcome, and the final prediction is made by averaging the predictions of all the trees.

  • Random forest is effective in handling high-dimensional data an...

A Data Analyst was asked
Q. What are the different types of indexing?
Ans. 

Different types of indexing include primary indexing, secondary indexing, clustered indexing, and non-clustered indexing.

  • Primary indexing: Index based on the primary key of a table, typically implemented using a B-tree structure.

  • Secondary indexing: Index based on a non-primary key column, allowing for faster retrieval of data based on that column.

  • Clustered indexing: Physically reorders the table based on the index...

A Data Analyst was asked
Q. Explain macros in Excel.
Ans. 

Macros in Excel are automated sequences of commands that can be created to perform repetitive tasks.

  • Macros can be recorded or written using Visual Basic for Applications (VBA)

  • They can automate tasks such as formatting, data manipulation, and calculations

  • Macros can be assigned to buttons or keyboard shortcuts for easy access

  • They can save time and reduce errors in repetitive tasks

A Data Analyst was asked
Q. What are permutations and combinations, and how are they used in data science?
Ans. 

Permutation and combination are mathematical concepts used to count the number of possible outcomes in a given scenario.

  • Permutation is the arrangement of objects in a specific order while combination is the selection of objects without considering the order.

  • Permutation formula: nPr = n!/(n-r)! where n is the total number of objects and r is the number of objects selected.

  • Combination formula: nCr = n!/r!(n-r)! wher...

Tiger Analytics HR Interview Questions

11 questions and answers

Q. Introduce yourself.
Q. Tell me something about yourself.
Q. Why are you looking for a job change?
A Data Analyst was asked
Q. How do you compare two arrays in Python to determine if they are identical?
Ans. 

Compare two arrays in python and print if both of them are same or not.

  • Use the '==' operator to compare the arrays.

  • If the arrays have the same elements in the same order, they are considered the same.

  • If the arrays have different elements or different order, they are considered different.

  • Print 'Same' if the arrays are the same, otherwise print 'Different'.

Are these interview questions helpful?
A Data Analyst was asked
Q. How can you prove to the client that students in higher classes are taller than those in lower classes?
Ans. 

We can use statistical analysis to prove that students in higher classes are taller than those in lower classes.

  • Collect height data of students from different classes

  • Use statistical measures like mean, median, and mode to compare the heights of students in different classes

  • Perform hypothesis testing to determine if the difference in height between classes is statistically significant

  • Visualize the data using graphs...

Tiger Analytics Data Analyst Interview Experiences

19 interviews found

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 10 Jan 2025

Interview experience
2
Poor
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Campus Placement and was interviewed in Dec 2024. There were 4 interview rounds.

Round 1 - Coding Test 

Two coding questions related to matrices and heaps.

Round 2 - Technical 

(1 Question)

  • Q1. Python and SQL coding
Round 3 - Technical 

(1 Question)

  • Q1. Same questions like tech 1
Round 4 - HR 

(2 Questions)

  • Q1. Self intro , why tiger
  • Q2. Relocation

Interview Preparation Tips

Topics to prepare for Tiger Analytics Data Analyst interview:
  • Python
  • SQL

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 7 Jan 2025

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. Logistic regression parameter tuning

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 26 Dec 2024

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Campus Placement and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

Fundamental aptitude questions.

Round 2 - Coding Test 

Two medium-level questions.

Interview Preparation Tips

Interview preparation tips for other job seekers - Study data structures and algorithms programming through LeetCode.

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 17 Apr 2024

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Campus Placement and was interviewed in Oct 2023. There were 3 interview rounds.

Round 1 - Aptitude Test 

Basic aptitude and coding question

Round 2 - Technical 

(2 Questions)

  • Q1. It goes for two rounds
  • Q2. Moderate sql question regarding joins have where cluase
Round 3 - HR 

(1 Question)

  • Q1. It take only 10 minutes

Interview Preparation Tips

Interview preparation tips for other job seekers - be confident in one language

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 25 Feb 2024

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via LinkedIn and was interviewed in Jan 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

Easy question. Easy to clear the round

Round 2 - Technical 

(1 Question)

  • Q1. One to one technical questions based on SQL and python.

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well in python and SQL questions

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 26 Mar 2024

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-

I applied via Campus Placement

Round 1 - Technical 

(1 Question)

  • Q1. Probability related questions and 1 coding easy leetcode question

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 23 Oct 2023

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Apr 2023. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Aptitude Test 

Basic data structures, puzzles questions and statistics problems

Round 3 - One-on-one 

(5 Questions)

  • Q1. What was your previous company project
  • Q2. What are different types of indexing
  • Ans. 

    Different types of indexing include primary indexing, secondary indexing, clustered indexing, and non-clustered indexing.

    • Primary indexing: Index based on the primary key of a table, typically implemented using a B-tree structure.

    • Secondary indexing: Index based on a non-primary key column, allowing for faster retrieval of data based on that column.

    • Clustered indexing: Physically reorders the table based on the indexed co...

  • Answered by AI
  • Q3. How does random forest work
  • Q4. Explain over fitting
  • Q5. Explain macros inExcel
  • Ans. 

    Macros in Excel are automated sequences of commands that can be created to perform repetitive tasks.

    • Macros can be recorded or written using Visual Basic for Applications (VBA)

    • They can automate tasks such as formatting, data manipulation, and calculations

    • Macros can be assigned to buttons or keyboard shortcuts for easy access

    • They can save time and reduce errors in repetitive tasks

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Tiger Analytics Data Analyst interview:
  • SQL
  • Python

Skills evaluated in this interview

Data Analyst Interview Questions & Answers

user image 101_siva

posted on 21 Mar 2025

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I appeared for an interview before Mar 2024, where I was asked the following questions.

  • Q1. Python Coding qns
  • Q2. Sql coding qns

Data Analyst Interview Questions & Answers

user image Akash Gautam

posted on 25 Sep 2024

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed before Sep 2023. There were 3 interview rounds.

Round 1 - Aptitude Test 

It was an on campus recruitment drive with questions mostly on basic statistics and algebra.

Round 2 - Coding Test 

In round 2 the interviewer asked to explain one of my project and then write code for longest common substring problem.

Round 3 - Coding Test 

One Simple coding problem followed with couple of probability questions and explaining the Simple Linear model in detail.

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 4 Dec 2024

Interview experience
4
Good
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I appeared for an interview before Dec 2023.

Round 1 - Aptitude Test 

Aptitude test had questions like upstream, downstream, etc

Round 2 - Coding Test 

SQL questions and 2 live python coding questions

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Tiger Analytics Interview FAQs

How many rounds are there in Tiger Analytics Data Analyst interview?
Tiger Analytics interview process usually has 2-3 rounds. The most common rounds in the Tiger Analytics interview process are Coding Test, Technical and Resume Shortlist.
How to prepare for Tiger Analytics Data Analyst interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Tiger Analytics. The most common topics and skills that interviewers at Tiger Analytics expect are SQL, Data Analytics, Data Analysis, JSON and Javascript.
What are the top questions asked in Tiger Analytics Data Analyst interview?

Some of the top questions asked at the Tiger Analytics Data Analyst interview -

  1. How can you prove to the client that a students with higher classes are taller ...read more
  2. What is permutation and combination and how is it used in data scien...read more
  3. Compare two arrays in python and print if both of them are same or n...read more
How long is the Tiger Analytics Data Analyst interview process?

The duration of Tiger Analytics Data Analyst interview process can vary, but typically it takes about less than 2 weeks to complete.

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Overall Interview Experience Rating

3.8/5

based on 13 interview experiences

Difficulty level

Easy 9%
Moderate 82%
Hard 9%

Duration

Less than 2 weeks 67%
2-4 weeks 33%
View more
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