Tiger Analytics

Role: Data Analyst

College: Tier-1 college, non-circuital branch

Interview Date: December (last updated 2025)

Interview Type: On-Campus, Full-Time

Result: Selected

Difficulty: Medium

Rounds: 4 rounds (1 OA + 2 Technical + 1 HR)

Topics Asked: Aptitude, Basic CS Fundamentals, Coding (DSA), SQL, Conditional Probability, Bayes Theorem, Projects, Probability and Statistics, Behavioral.

Experience:

The entire process consisted of 4 rounds: 1 Online Assessment (OA) and 3 interviews (2 Technical + 1 HR), conducted in offline mode.

ROUND 0 (ONLINE ASSESSMENT): This was hosted on a proctored platform (Imocha) and lasted approximately 90 minutes. It had 3 sections:

• Section 1: Basic maths and aptitude (~20 questions, ~40 min).
• Section 2: Basic CS fundamentals (~10 questions, ~10 min).
• Section 3: 2 Coding questions (1st was easy difficulty ~10 min, 2nd was medium difficulty ~20 min).

Out of 220 students, ~50 were shortlisted for further rounds.

ROUND 1 (TECHNICAL INTERVIEW): This interview was conducted offline and involved one male interviewer. After a self-introduction, the interviewer asked about the preferred coding language (Python 3.0).

• Coding Question 1: Medium difficulty coding question, similar to "Find K closest points to the origin". Follow-up questions included changing the center to a random point (x,y) and discussing its time and space complexity.
• SQL Question 1: Medium difficulty SQL question, similar to "Finding average salary of each department in SQL server".
• Theoretical Question 1: About conditional probability and Bayes theorem, similar to the "fair/unfair coins" problem.
• Questions about projects were also asked. The interviewer seemed satisfied.

ROUND 2 (TECHNICAL INTERVIEW): This round also had one male interviewer.

• Coding Question 1: An easy difficulty coding question (specifics not linked in snippet, but mentioned).
• Probability and Statistics: This was considered the most challenging part, with several questions asked.
• Questions about projects were asked. The candidate was able to answer most questions.

ROUND 3 (HR INTERVIEW): This round was conducted by a female employee. It began with greetings and a basic rundown of the resume. Questions included:

• Questions about PORs (Positions of Responsibility).
• Why the field of data analysis?
• How to approach data in the core discipline?
• Any issues with the location?

The process went smoothly, and the candidate was informed of the result later. A total of 5 students were selected out of 9 who made it to the final round.

Overall, the interview tested coding skills (including SQL) and proficiency in probability and statistics. The process was well-organized.