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Tiger Analytics Senior Analyst Interview Questions, Process, and Tips

Updated 9 Jan 2025

Top Tiger Analytics Senior Analyst Interview Questions and Answers

  • Q1. Q4. What is the probability of getting 5 Sundays in 31 day month.
  • Q2. Q4. You are standing in a field. Chances of seeing atleast 1 plane in 10 minutes is 15%. What is the probability of seeing atleast 1 plane in next 30 minutes?
  • Q3. Q5. If we select a random point in a circle of 1 unit radius what is the probability of appearing that point closer to the circumference , not closer to the centre.
View all 24 questions

Tiger Analytics Senior Analyst Interview Experiences

23 interviews found

I applied via LinkedIn and was interviewed in Mar 2022. There were 4 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 - Coding Test 

1. Coding Test Conducted on Hackereath.
There were 10 MCQ each carrying 10 marks.
2 programming questions (40pts, 60pts)
Question were based on DP and Segment Tree.

Round 3 - Technical 

(4 Questions)

  • Q1. Q1. Implement python Collection Counter from Scratch.
  • Ans. 

    Implementing Python Collection Counter from Scratch

    • Create an empty dictionary to store the elements and their count

    • Iterate through the input list and add elements to the dictionary with their count

    • Return the dictionary

    • Example: input_list = ['apple', 'banana', 'apple', 'orange', 'banana']

    • Output: {'apple': 2, 'banana': 2, 'orange': 1}

  • Answered by AI
  • Q2. Q2. Do Matrix Multiplication. Q3. Implement Factorial and Fibonacci Series with different Approaches.
  • Ans. 

    Matrix multiplication, factorial and Fibonacci series implementation

    • Matrix multiplication involves multiplying two matrices to get a third matrix

    • Factorial is the product of all positive integers up to a given number

    • Fibonacci series is a sequence of numbers where each number is the sum of the two preceding ones

    • Factorial can be implemented using recursion or iteration

    • Fibonacci series can be implemented using recursion or

  • Answered by AI
  • Q3. Q4. What is the probability of getting 5 Sundays in 31 day month.
  • Ans. 

    The probability of getting 5 Sundays in a 31 day month is less than 1%.

    • There are 7 days in a week, so the probability of any given day being a Sunday is 1/7.

    • In a 31 day month, there are 4 full weeks and 3 extra days.

    • The probability of the first 4 weeks having 4 Sundays is (1/7)^4.

    • The probability of the remaining 3 days being Sundays is (3/7).

    • Multiplying these probabilities gives a total probability of less than 1%.

  • Answered by AI
  • Q4. Q5. There were 100 coins. 99 Unbiased Coins, 1. Coin is biased. Derive the probability of getting 10 heads given the even of unbiased coins using Bayes Theorem.
  • Ans. 

    Using Bayes Theorem, find the probability of getting 10 heads given 99 unbiased coins and 1 biased coin.

    • Identify the prior probability of getting 10 heads with unbiased coins

    • Calculate the likelihood of getting 10 heads with the biased coin

    • Use Bayes Theorem to calculate the posterior probability of getting 10 heads given the mix of coins

    • Consider the impact of the biased coin on the overall probability

  • Answered by AI
Round 4 - Technical 

(4 Questions)

  • Q1. Q1. Implement a Program to check if a number is power of 3 .
  • Ans. 

    Program to check if a number is power of 3

    • Use logarithm to check if the result is an integer

    • Check if the number is greater than 0

    • Check if the remainder is 0 when the number is divided by 3 repeatedly

  • Answered by AI
  • Q2. Q2. What will be the approach If all the features are categorical in Linear Regression. Q3. What is Dummy variable trap? If we don't remove dummy variable what will be the issue and does it impact performa...
  • Ans. 

    Categorical features in Linear Regression require encoding using dummy variables. Removing one dummy variable avoids the dummy variable trap.

    • Categorical features need to be encoded using dummy variables to be used in Linear Regression

    • Dummy variable trap occurs when one dummy variable can be predicted from the others

    • Removing one dummy variable avoids the issue of multicollinearity and improves model performance

    • Example: ...

  • Answered by AI
  • Q3. Q4. You are standing in a field. Chances of seeing atleast 1 plane in 10 minutes is 15%. What is the probability of seeing atleast 1 plane in next 30 minutes?
  • Ans. 

    Probability of seeing a plane in 30 minutes given 15% chance in 10 minutes.

    • Calculate the probability of not seeing a plane in 10 minutes

    • Use the formula P(X>=1) = 1 - P(X=0)

    • Calculate the probability of not seeing a plane in 30 minutes using the above probability

    • Calculate the probability of seeing atleast 1 plane in 30 minutes using the formula P(X>=1) = 1 - P(X=0)

  • Answered by AI
  • Q4. Q5. If we select a random point in a circle of 1 unit radius what is the probability of appearing that point closer to the circumference , not closer to the centre.
  • Ans. 

    Probability of a random point in a circle of 1 unit radius being closer to the circumference than the center.

    • The probability is 1/4 or approximately 0.785.

    • This is because the area of the circle closer to the circumference is 1/4th of the total area.

    • This can be calculated using the formula for the area of a circle: A = πr^2.

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be prepared for the conditional probability and statistics questions. They check on your logical reasoning and your python coding skills the most.

Skills evaluated in this interview

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

I applied via Naukri.com and was interviewed in Sep 2024. There were 4 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. Project description
  • Q2. Architecture diagram of project
Round 2 - Technical 

(2 Questions)

  • Q1. In depth machine learning questions
  • Q2. A python coding round
Round 3 - Technical 

(2 Questions)

  • Q1. In depth questions about python programming language
  • Q2. Discussed about company
Round 4 - HR 

(1 Question)

  • Q1. Salary expectations

Interview Preparation Tips

Topics to prepare for Tiger Analytics Senior Analyst interview:
  • Machine Learning
Interview preparation tips for other job seekers - Required In depth knowledge.

Senior Analyst Interview Questions Asked at Other Companies

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asked in Accenture
Q3. What do you understand by Budgeting and Forecasting?
Q4. Q4. What is the probability of getting 5 Sundays in 31 day month.
Q5. Q4. You are standing in a field. Chances of seeing atleast 1 plan ... read more
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Some questionaire was provided

Round 2 - Technical 

(2 Questions)

  • Q1. Question about projects
  • Q2. Why use MSE metric
  • Ans. 

    MSE metric is commonly used in data analysis to measure the average squared difference between predicted values and actual values.

    • MSE helps to quantify the accuracy of a model by penalizing large errors more than small errors.

    • It is easy to interpret as it gives a clear measure of how well the model is performing.

    • MSE is differentiable, making it suitable for optimization algorithms like gradient descent.

    • Example: In line...

  • Answered by AI
Round 3 - Technical 

(2 Questions)

  • Q1. Discussion about projects
  • Q2. Why use MSE metrics
  • Ans. 

    MSE metrics are commonly used to measure the average squared difference between predicted values and actual values in statistical analysis.

    • MSE helps in evaluating the performance of a predictive model by quantifying the accuracy of the model's predictions.

    • It penalizes large errors more heavily than small errors, making it a useful metric for identifying outliers or areas where the model is underperforming.

    • MSE is widely...

  • Answered by AI

Skills evaluated in this interview

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

I applied via Naukri.com and was interviewed in Aug 2023. There were 4 interview rounds.

Round 1 - Coding Test 

Online Coding Assessment on HackerEarth

Round 2 - One-on-one 

(1 Question)

  • Q1. Questions related to previous experience, projects, DSA (Easy to Medium level)
Round 3 - One-on-one 

(1 Question)

  • Q1. Questions related to previous experience, data science, project discussions, DSA
Round 4 - One-on-one 

(1 Question)

  • Q1. Questions on problem solving, pandas, SQL.

Tiger Analytics interview questions for designations

 Senior Business Analyst

 (4)

 Senior Analyst II

 (1)

 Analyst

 (15)

 Senior Data Analyst

 (6)

 Data Analyst

 (18)

 Business Analyst

 (5)

 Trainee Analyst

 (3)

 Production Analyst

 (1)

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

I was interviewed in Jul 2023.

Round 1 - Technical 

(2 Questions)

  • Q1. Walk me through your resume
  • Q2. What is entropy ? What is gini index? Give a real life example of derivative and second derivative. What is the difference between P-value and beta value? How do you handle imbalanced dataset? What is the ...
  • Ans. 

    Entropy is a measure of randomness or disorder in a system. Gini index is a measure of impurity in a dataset. Derivatives measure rate of change. P-value is the probability of observing a test statistic. Beta value is the coefficient in a regression model. Imbalanced datasets have unequal class distribution. Recall is the proportion of actual positives correctly identified. Precision is the proportion of predicted posi...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be clear with your fundamentals. The interviewer wants to know how you apply logic, and how clear you are in applying logic in real life scenarios

Skills evaluated in this interview

Get interview-ready with Top Tiger Analytics Interview Questions

Senior Analyst Interview Questions & Answers

user image Praveen Raj

posted on 8 Jun 2024

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

I applied via Naukri.com and was interviewed in Dec 2023. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. What is probability
  • Ans. 

    Probability is the likelihood of a specific event occurring, expressed as a number between 0 and 1.

    • Probability ranges from 0 (impossible event) to 1 (certain event)

    • It can be calculated by dividing the number of favorable outcomes by the total number of possible outcomes

    • Probability can be represented as a percentage, fraction, or decimal

  • Answered by AI
  • Q2. Write python code
  • Ans. 

    Python code to find the sum of all elements in a list

    • Use the sum() function to find the sum of all elements in a list

    • Ensure the list contains only numeric values for accurate results

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Should learn about probability and python coding

Skills evaluated in this interview

Senior Analyst Jobs at Tiger Analytics

View all
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Sep 2023. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all tips
Round 2 - Coding Test 

Hackerearth - python and ML stuff

Round 3 - Technical 

(1 Question)

  • Q1. EIgen vectors, Math behind algos and previous projects
Round 4 - HR 

(1 Question)

  • Q1. General discussion why to switch?
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Jan 2024. There were 3 interview rounds.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Project description
  • Q2. Tech stack used
Round 2 - Technical 

(2 Questions)

  • Q1. Solve a python coding problem
  • Q2. Solve python problem based on dict
Round 3 - One-on-one 

(1 Question)

  • Q1. General questions
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before Oct 2023. There were 3 interview rounds.

Round 1 - Aptitude Test 

It was a 90-minute Aptitude + Coding test in which some LeetCode medium CP problems were asked.

Round 2 - Technical 

(4 Questions)

  • Q1. Regression models: Which one should be used in which case?
  • Ans. 

    Different regression models are used based on the type of data and relationship between variables.

    • Linear regression is used when there is a linear relationship between the independent and dependent variables.

    • Logistic regression is used when the dependent variable is binary.

    • Polynomial regression is used when the relationship between variables is non-linear.

    • Ridge regression is used when there is multicollinearity in the ...

  • Answered by AI
  • Q2. What is R-squared?
  • Ans. 

    R-squared is a statistical measure that represents the proportion of the variance for a dependent variable that's explained by an independent variable.

    • R-squared ranges from 0 to 1, with 1 indicating that all variance in the dependent variable is explained by the independent variable.

    • It is used in regression analysis to determine how well the regression line fits the data points.

    • A higher R-squared value indicates a bett...

  • Answered by AI
  • Q3. Logical and Puzzle Questions?
  • Q4. Live Coding: 3-Sum Problem
Round 3 - HR 

(2 Questions)

  • Q1. Something about yourself?
  • Ans. 

    I am a detail-oriented Senior Analyst with a passion for data analysis and problem-solving.

    • Experienced in conducting thorough research and interpreting complex data sets

    • Skilled in creating insightful reports and presentations for stakeholders

    • Proficient in using analytical tools such as Excel, SQL, and Tableau

  • Answered by AI
  • Q2. Salary Negotiation

Interview Preparation Tips

Topics to prepare for Tiger Analytics Senior Analyst interview:
  • Machine Learning
  • Deep Learning
Interview preparation tips for other job seekers - Focus on quantitative aptitude and practice some easy-to-medium Leetcode problems. Also, brush up on your ML/DL knowledge.

Skills evaluated in this interview

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

I applied via Approached by Company and was interviewed before Oct 2023. There were 2 interview rounds.

Round 1 - Coding Test 

Easy-medium maths coding questions

Round 2 - Technical 

(4 Questions)

  • Q1. SQL problem to be solved using Pandas
  • Q2. Project Overview of my previous company
  • Q3. Easy Coding question
  • Q4. ML algorithm overview of what I have used in my projects
  • Ans. 

    I have used various ML algorithms such as linear regression, decision trees, random forests, and neural networks in my projects.

    • Linear regression for predicting continuous values

    • Decision trees for classification and regression tasks

    • Random forests for ensemble learning and improved accuracy

    • Neural networks for complex pattern recognition

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Have your basics ready and it would be easy to crack

Skills evaluated in this interview

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

I applied via Referral and was interviewed before Oct 2023. There were 3 interview rounds.

Round 1 - Coding Test 

It was basic questions to analyse the logic and problem solving approach. Nothing like complex data structures and algorithms.

Round 2 - Coding Test 

Includes some basic mathematics questions (probability, permutation and combination, statistics, inferential statistics, hypothesis testing) and some data manipulation techniques using pandas and SQL (joins, filters, etc.)

Round 3 - HR 

(2 Questions)

  • Q1. Offer confirmation
  • Q2. Salary negotiation

Tiger Analytics Interview FAQs

How many rounds are there in Tiger Analytics Senior Analyst interview?
Tiger Analytics interview process usually has 2-3 rounds. The most common rounds in the Tiger Analytics interview process are Technical, Coding Test and One-on-one Round.
How to prepare for Tiger Analytics Senior 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 Python, Data Science, Machine Learning, Natural Language Processing and SQL.
What are the top questions asked in Tiger Analytics Senior Analyst interview?

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

  1. Q4. What is the probability of getting 5 Sundays in 31 day mon...read more
  2. Q4. You are standing in a field. Chances of seeing atleast 1 plane in 10 minute...read more
  3. Q5. If we select a random point in a circle of 1 unit radius what is the probab...read more
How long is the Tiger Analytics Senior Analyst interview process?

The duration of Tiger Analytics Senior Analyst interview process can vary, but typically it takes about 2-4 weeks to complete.

Tell us how to improve this page.

Tiger Analytics Senior Analyst Interview Process

based on 17 interviews

4 Interview rounds

  • Coding Test Round
  • Technical Round - 1
  • Technical Round - 2
  • HR Round
View more
Tiger Analytics Senior Analyst Salary
based on 497 salaries
₹8.5 L/yr - ₹18 L/yr
48% more than the average Senior Analyst Salary in India
View more details

Tiger Analytics Senior Analyst Reviews and Ratings

based on 80 reviews

3.7/5

Rating in categories

3.8

Skill development

3.7

Work-life balance

3.3

Salary

3.6

Job security

3.9

Company culture

3.2

Promotions

3.5

Work satisfaction

Explore 80 Reviews and Ratings
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