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Tiger Analytics 2026 Pattern Details

Overview

This page collects Tiger Analytics placement papers from 2026 with practice questions, worked solutions, and the exam pattern students reported that cycle. Use it when you want drive history: what the first round looked like, which topics repeated, and how to approach solutions. Work the sets below under a timer, then compare with newer material so your prep matches both established Tiger Analytics patterns and recent shifts.

Tiger Analytics Aptitude Mock Quiz

Timed placement-style MCQs with score and explanations after you submit. Use it to check speed and accuracy before the real test.

Questions15
Time10 min

Tiger Analytics exam pattern 2026

Section What shows up Prep focus
Aptitude / logical Quant, reasoning, sometimes verbal Timed sectional accuracy
Coding / programming logic Easy-medium DSA or output-style MCQs Handle tricky inputs
Technical interview OOPs, DBMS, OS, projects Explain aloud
HR Fit, location, intent A few real examples ready

First round: Tiger Analytics Assessment
Skills emphasized: SQL, Python, case, aptitude
Languages: Python, SQL

Sample Tiger Analytics questions with solutions

These are practice-style questions aligned to patterns students report for Tiger Analytics drives around 2026. They are not leaked live papers. Work them timed, then read the solutions only after you have an answer.

Quantitative aptitude (2026)

Q1: Train and pole

Problem: A train 150 meters long passes a pole in 15 seconds. What is its speed in km/h?

Solution: Distance = 150 m = 0.15 km. Time = 15 s = 15/3600 h = 1/240 h. Speed = 0.15 ÷ (1/240) = 0.15 × 240 = 36 km/h.

Faster check: 150/15 = 10 m/s → 10 × 18/5 = 36 km/h.

Answer: 36 km/h

Q2: Profit on a pen

Problem: If the cost price of a pen is ₹40 and it is sold at a 25% profit, what is the selling price?

Solution: Profit = 25% of 40 = ₹10. Selling price = 40 + 10 = ₹50.

Or SP = CP × 1.25 = 40 × 1.25 = ₹50.

Answer: ₹50

Q3: A and B together

Problem: A can finish a job in 10 days and B in 20 days. How long will they take working together?

Solution: A’s one-day work = 1/10. B’s one-day work = 1/20. Together = 1/10 + 1/20 = 3/20 per day. Time = 20/3 ≈ 6.67 days (6 days 16 hours).

Answer: 20/3 days

Q4: Sum of naturals

Problem: What is the sum of the first 50 natural numbers?

Solution: Sum of first n naturals = n(n+1)/2. For n = 50: 50 × 51 / 2 = 1275.

Answer: 1275

Q5: Average speed

Problem: A person covers a distance at 60 km/h and returns at 40 km/h. What is the average speed for the whole trip?

Solution: For equal distances, average speed = 2ab/(a+b). = 2×60×40 / (60+40) = 4800/100 = 48 km/h.

Do not take the arithmetic mean (50); that would be wrong here.

Answer: 48 km/h

Q6: Marked price discount

Problem: A shopkeeper marks goods 20% above cost and then gives a 10% discount. What is the profit percentage?

Solution: Let CP = ₹100. Marked price = ₹120. Discount = 10% of 120 = ₹12. SP = 120 − 12 = ₹108. Profit % = 8%.

Answer: 8%

Q7: Three workers

Problem: A finishes work in 12 days, B in 15 days, and C in 20 days. Working together, how many days do they need?

Solution: Take total work = LCM(12,15,20) = 60 units. A = 5/day, B = 4/day, C = 3/day. Combined = 12 units/day. Time = 60/12 = 5 days.

Answer: 5 days

Q8: Age ratio

Problem: The ratio of ages of A and B is 3:5. After 8 years the ratio becomes 5:7. Find A’s present age.

Solution: Let ages be 3x and 5x. (3x+8)/(5x+8) = 5/7 7(3x+8) = 5(5x+8) 21x + 56 = 25x + 40 4x = 16 → x = 4 A’s age = 12 years.

Answer: 12 years

Logical reasoning (2026)

Q1: Analogy

Problem: Book is to Reading as Fork is to ?

Solution: A book is used for reading; a fork is used for eating.

Answer: Eating

Q2: Odd one out

Problem: Find the odd one out: 3, 5, 7, 9, 11

Solution: 3, 5, 7, and 11 are prime. 9 = 3×3 is composite, so it is the odd one out.

Answer: 9

Q3: Coding letter shift

Problem: If CAT is coded as DBU, how is DOG coded in the same way?

Solution: Each letter moves +1 in the alphabet: C→D, A→B, T→U. D→E, O→P, G→H → EPH.

Answer: EPH

Q4: Blood relation

Problem: Pointing to a photograph, Ravi says, ‘She is the daughter of my mother’s only son.’ How is the girl related to Ravi?

Solution: Ravi’s mother’s only son is Ravi himself (assuming one son). The girl is therefore Ravi’s daughter.

Answer: Daughter

Coding practice (2026)

Coding Q1: Valid parentheses

Problem: Given a string containing only ‘()[]’, decide whether the brackets are balanced and correctly nested.

Approach: Scan left to right with a stack. Push opening brackets. On a closing bracket, the stack top must be the matching opener. At the end the stack must be empty.

Complexity: O(n) time, O(n) space

Tiger Analytics tip: Restate the problem, sketch a brute-force idea, then tighten it. Call out edge cases (empty input, single element, overflow) before you write code.

Coding Q2: Two Sum

Problem: Given an array of integers and a target, return indices of two numbers that add up to the target. Assume exactly one solution and you may not use the same element twice.

Approach: Walk the array once. For each value x, check whether target − x was seen earlier in a hash map of value → index. If yes, return both indices; else store x.

Complexity: O(n) time, O(n) space

Tiger Analytics tip: Restate the problem, sketch a brute-force idea, then tighten it. Call out edge cases (empty input, single element, overflow) before you write code.

Coding Q3: Longest substring without repeating characters

Problem: Given a string s, find the length of the longest substring without repeating characters. Example: ‘abcabcbb’ → 3 (‘abc’).

Approach: Sliding window with a map (or last-seen index) of characters. Expand the right pointer; when a duplicate appears inside the window, move the left pointer past the previous occurrence.

Complexity: O(n) time

Tiger Analytics tip: Restate the problem, sketch a brute-force idea, then tighten it. Call out edge cases (empty input, single element, overflow) before you write code.

Coding Q4: Merge overlapping intervals

Problem: Given a list of intervals [start, end], merge all overlapping intervals and return the non-overlapping set that covers the same ranges.

Approach: Sort by start time. Walk once, merging into the last interval in the result when the next start is ≤ current end; otherwise append a new interval.

Complexity: O(n log n) time from the sort

Tiger Analytics tip: Restate the problem, sketch a brute-force idea, then tighten it. Call out edge cases (empty input, single element, overflow) before you write code.

Coding Q5: Top K frequent elements

Problem: Given an integer array and an integer k, return the k most frequent elements. Order among equals can be arbitrary unless the problem says otherwise.

Approach: Count frequencies with a hash map, then use a heap of size k (or bucket sort by frequency) to extract the top k keys.

Complexity: O(n log k) with a heap

Tiger Analytics tip: Restate the problem, sketch a brute-force idea, then tighten it. Call out edge cases (empty input, single element, overflow) before you write code.

Coding Q6: Linked list cycle

Problem: Given the head of a linked list, return true if there is a cycle and false otherwise.

Approach: Floyd’s tortoise and hare: move one pointer one step and another two steps. If they meet, a cycle exists. If the fast pointer hits null, there is no cycle.

Complexity: O(n) time, O(1) space

Tiger Analytics tip: Restate the problem, sketch a brute-force idea, then tighten it. Call out edge cases (empty input, single element, overflow) before you write code.

Coding Q7: Binary tree level order

Problem: Given the root of a binary tree, return the level-order traversal (breadth-first) as a list of levels.

Approach: Use a queue. For each level, drain the current queue size, collect values, and enqueue children for the next level.

Complexity: O(n) time, O(n) space

Tiger Analytics tip: Restate the problem, sketch a brute-force idea, then tighten it. Call out edge cases (empty input, single element, overflow) before you write code.

Coding Q8: Coin change (min coins)

Problem: Given coin denominations and an amount, return the fewest coins needed to make that amount, or -1 if it is impossible.

Approach: Unbounded knapsack DP: let dp[x] be the minimum coins for amount x. For each coin, update dp[c..amount]. Initialize dp[0] = 0 and the rest to a large sentinel.

Complexity: O(amount × coins)

Tiger Analytics tip: Restate the problem, sketch a brute-force idea, then tighten it. Call out edge cases (empty input, single element, overflow) before you write code.

Deep prep notes for Tiger Analytics

How the Tiger Analytics assessment usually feels

Students usually say the first round is time-tight - easy marks vanish if you sit too long on one hard question. For Tiger Analytics, skim the paper in a couple of minutes, mark what you can finish cleanly, and protect accuracy. Languages people commonly use: Python, SQL.

Topic weight hints

Area Why it matters at Tiger Analytics
SQL What usually helps you clear the first round
Core CS (OOPs / DBMS / OS) Technical interview depth
Analytics & AI Consulting awareness Helps in managerial / HR conversations
Communication Explain your approach clearly; keep a few real examples ready for HR

14-Day sprint

  1. Days 1-3: Learn the 2026 pattern and take two sectional mocks
  2. Days 4-7: Closed practice on weak topics from your error log
  3. Days 8-10: Full mocks every other day; review the same day
  4. Days 11-14: Practice explaining projects out loud, light revision, sleep and IDs ready

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