Data Analyst applicants have rated the interview process at Tiger Analytics with 2.7 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 67% positive. To compare, the company-average is 42% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Analyst roles take an average of 2 days to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at Tiger Analytics overall takes an average of 32 days.
Common stages of the interview process at Tiger Analytics as a Data Analyst according to 3 Glassdoor interviews include:
Skills test: 22%
One on one interview: 22%
Phone interview: 22%
IQ intelligence test: 11%
Presentation: 11%
Personality test: 11%
Here are the most commonly searched roles for interview reports -
I applied through college or university. The process took 2 days. I interviewed at Tiger Analytics (Ahemba) in Feb 2021
Interview
Written test:
Time: 40 min.
No of Questions: There were two section in the test. In first section there were 20 aptitude based MCQs. Second section consist of 10 coding MCQs relating to input/output and basic programming knowledge.
Difficulty: The level of the questions was moderate.
Interview Shortlist: 108
Kind of Resume Required: Having one project of machine learning provides you an edge.
Interview: Day3(Slot1)
First Round: This round was to check my programming skills and problem solving approach.
1)It all started with my resume and tell me about yourself.
2)He asked me questions from my internship which I told him. Like what did you learn from your internships. And Question about competitor analysis.
3)He asked questions from my ML project.
4)Write a python program for KNN algorithm. But I didn't know it. So I said that I can implement through sklearn library. But He wanted me to write code in python. Then I argued him saying that there is no need to learn codes. All scripts are available online and we just need to know how it works. Library are built to make things easier. He was completely enraged with me and asked me to explain sklearn.
5)Write a pseudo code for finding shortest distance between the two given words in an array of n number of words. Ask me optimum approach.
6)Ask me to explain Random Forest algorithm. But funny thing is that I explained him Decision Tree. Meanwhile we both started smiling at each other and I said I forgotten random forest. He smiled.
This round last for around 40 to 45 min then he told me with smile, "Bhavesh kabhi kabhi kuch code yaad rakh lene chahiye!smile" and then sent me to the next round.
Second Round: This was to check my analytical and communications skills. This round last for around 45 min.
The interviewer was company's VP of Data Science and he was a very dynamic personality. It all started with my resume and tell me about yourself.
1)Asked me what is my views on Data and how it has changed the world.
2)Asked me about my startup which I mentioned in resume.
3)Asked me about key performance matrices for eCommerce market.
4)Calculate Market size for Indian grocery market.
5)Asked me a few questions relating to statistics and data cleaning.
6)Do you have any question for me.
(Never say No and listen to it carefully. They might ask you further on whatever they told you) I asked being a vice president of the data science what are the daily challenges you faces at your work and about what specific skills or expertise you want me to learn which will be helpful for me when I would join the company.
Interview questions [1]
Question 1
1)It all started with my resume and tell me about yourself.
2)He asked me questions from my internship which I told him. Like what did you learn from your internships. And Question about competitor analysis.
3)He asked questions from my ML project.
4)Write a python program for KNN algorithm. But I didn't know it. So I said that I can implement through sklearn library. But He wanted me to write code in python. Then I argued him saying that there is no need to learn codes. All scripts are available online and we just need to know how it works. Library are built to make things easier. He was completely enraged with me and asked me to explain sklearn.
5)Write a pseudo code for finding shortest distance between the two given words in an array of n number of words. Ask me optimum approach.
6)Ask me to explain Random Forest algorithm. But funny thing is that I explained him Decision Tree. Meanwhile we both started smiling at each other and I said I forgotten random forest
I interviewed at Tiger Analytics (Baloži, Riga District)
Interview
Good experience,easy going, polite interviewer.Fast communication with questionsthat matter not some odd just to tick the box questions. Hiring process was not uselessly stretched out. Kept me updated after interview and during their decision time.
Interview questions [1]
Question 1
Example of improvement I made in data collection and hiw it affected the project
I applied online. I interviewed at Tiger Analytics (Bangalore Rural) in Sep 2025
Interview
First is technical exam followed by a 3 stages of interview where first 2 stages are deep technical and one is HR round. Exam is okat okay and Interview also above average for me
I had a great experience with two technical interview rounds. The first round focused on coding and data science, while the second round was mainly centered around algorithms, logic building, and coding challenges.