Candidates describe a Tiger Analytics Data Analyst process that usually begins with an online test, then technical rounds on SQL, Python, DSA and projects, and ends with HR. Project and resume depth recur.
$122K
Avg. Base Comp
$158K
Avg. Total Comp
3-5 rounds
Typical Rounds
Not reported
Process Length
Candidates describe the Tiger Analytics Data Analyst interview as an online screen followed by technical rounds and an HR conversation. Reports vary by team and seniority, so treat the shape as typical rather than fixed.
Several candidates report an online assessment first. One describes about 20 aptitude and reasoning questions plus three easy-to-medium coding problems in Python and SQL, including matrix clockwise rotation. Another describes three medium-level coding questions. A Power BI-focused candidate instead started with an MCQ test on fundamentals.
In the technical rounds, SQL and Python fundamentals come up repeatedly. Reported SQL topics include ranking employees by salary within each department, stored procedures versus functions, and how to maintain live records in a database. Reported coding includes reversing an array, palindrome checks, letter-frequency counting, anagrams, next permutation and Number of Islands. Some candidates shared their screen so the interviewer could follow their thinking.
Some candidates were pushed toward statistics, probability and ML. One faced a maximum chocolate puzzle alongside statistical reasoning. Another was asked to justify ML algorithms in depth, and a senior candidate covered probability and live Python coding. Others report Power BI, DAX, data modeling and row-level security questions.
Project discussion is a common thread. Several candidates say interviewers questioned resume projects closely, so be ready to explain your choices. HR rounds are described as straightforward, covering behavioral and basic personal questions. One candidate reports that HR collected pre-offer details and then stopped responding, so follow up politely and keep other options open.
Synthesized from 13 candidate reports by our editorial team.
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Featured question at Tiger Analytics
Select the 2nd highest salary in the engineering department
| Question | |
|---|---|
| Closest SAT Scores | |
| Top Three Salaries | |
| Top 3 Users | |
| Experiment Validity | |
| Find the Missing Number | |
| Get Top N Frequent Words | |
| Prime to N | |
| Normal Distribution Sample | |
| Maximum Profit | |
| Bagging vs Boosting | |
| Assumptions of Linear Regression | |
| Minimum Absolute Distance | |
| New Partner Card | |
| Retailer Data Warehouse | |
| Missing Housing Data | |
| Production Model Monitoring | |
| Target Indices | |
| Median O(1) | |
| Digit Accumulator | |
| Count Transactions | |
| Matrix Rotation | |
| KNN From Scratch | |
| Possible Triangles | |
| Yelp-like System | |
| Finding the Maximum Number in a List | |
| Data Preparation for Imbalanced Data | |
| String Palindromes | |
| Deciding Between Solutions | |
| Minimum Directional Path |
Synthesized from candidate reports. Individual experiences may vary.
Candidates report an online test combining aptitude or reasoning with easy-to-medium coding in Python and SQL. Reported items include matrix clockwise rotation and database basics. A Power BI-focused candidate instead describes an MCQ fundamentals test, and another candidate calls it a screening step.
Candidates report live coding on arrays and strings, plus SQL and DBMS questions that range from basic commands to ranking within groups. One candidate also reports a Number of Islands problem. Interviewers may ask for a screen share and resume questions, so explain your reasoning out loud.
Reports for this round vary. Candidates describe statistical reasoning, a puzzle, stored procedures versus functions, and machine learning algorithm discussions. Others describe Power BI, DAX and data modeling questions. Project deep dives are commonly reported, so be ready to justify your approach.
Candidates report an HR conversation covering behavioral and basic personal questions such as background and hobbies. One candidate says HR asked for pre-offer details and then stopped responding, so timing after this stage may vary.
