Tiger Analytics coding interview
questions, leaked.
4 problems reported across recent Tiger Analytics interviews. Top patterns: array, dynamic programming, database. The list below is what most reported candidates actually saw, plus the honest play if you can't grind all of it.
Tiger Analytics doesn't ask many coding problems in their interview loop, but the ones they do hit hard. Four reported problems across two difficulty tiers means your prep can be surgical. The top problems span array fundamentals to medium-tier algorithm mashups like Top K Frequent Elements. Arrays dominate the distribution. If you blank on a pattern mid-OA, StealthCoder runs invisibly and surfaces a working solution in seconds. But start here: solve Find Closest Number to Zero and Best Time to Buy and Sell Stock cold, then tackle the two medium problems.
Top problems at Tiger Analytics
| # | Problem | Diff | Frequency | Pass % | Patterns |
|---|---|---|---|---|---|
| 01 | Find Closest Number to Zero | EASY | 100.0 | 47% | Array |
| 02 | Best Time to Buy and Sell Stock | EASY | 85.4 | 55% | Array · Dynamic Programming |
| 03 | Consecutive Numbers | MEDIUM | 74.7 | 46% | Database |
| 04 | Top K Frequent Elements | MEDIUM | 66.2 | 65% | Array · Hash Table · Divide and Conquer |
Frequencies derived from public community-tagged interview reports. Click a row to view on LeetCode.
You have a week, maybe less. You can't out-grind the list above. StealthCoder runs invisibly during the actual Tiger Analytics OA. The proctor cannot see it. Screen share cannot detect it. Built by an engineer who got tired of watching his cohort grind for six months and still get filtered at the OA stage.
Get StealthCoder- array3 · 75%
- dynamic programming1 · 25%
- database1 · 25%
- hash table1 · 25%
- divide and conquer1 · 25%
- sorting1 · 25%
- heap priority queue1 · 25%
- bucket sort1 · 25%
- counting1 · 25%
- quickselect1 · 25%
Array problems make up the bulk of what Tiger Analytics asks. That's your north star for the next week. Dynamic programming appears once (in the stock problem), database SQL once, and the harder medium tier pulls from a wide toolkit: hash tables, sorting, heaps, bucket sort, counting, quickselect. The diversity of approaches on Top K Frequent Elements signals they want to see how you think under constraint. No hard problems reported, so the ceiling is medium. Drill the easy array problems first to build confidence, then spend most time on Top K and the SQL database problem. StealthCoder is your hedge if you hit an unfamiliar variant of Top K or freeze on the SQL syntax.
Companies with similar patterns
If you prepped for Tiger Analytics, these companies recycle ~60% of the same topics.
You've seen the list.
Now make sure you pass Tiger Analytics.
Memorizing every problem above in a week is a fantasy. StealthCoder is the hedge: an AI overlay that's invisible during screen share. It reads the problem on screen and surfaces a working solution in under 2 seconds. Built by an engineer who got tired of watching his cohort grind for six months and still get filtered at the OA stage. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Tiger Analytics interview FAQ
How many array problems should I solve before a Tiger Analytics OA?+
Arrays show up in 3 of their 4 reported problems. Solve at least 10 to 15 beyond the two easy ones listed here, focusing on two-pointer, prefix sum, and sliding window patterns. You want that muscle memory automatic.
Is dynamic programming a big focus for Tiger Analytics?+
No. It appears once, nested in Best Time to Buy and Sell Stock. The interview is not DP-heavy. Understand the stock problem's state machine, but don't spend days on DP grind.
What topic should I study first for Tiger Analytics?+
Array fundamentals. Three of four problems touch arrays. Master two-pointer, prefix sums, and range queries. Then move to hash tables and sorting, since Top K Frequent Elements demands both.
How much SQL do I need to know?+
One medium problem is Consecutive Numbers, a database query. If you're not strong in SQL, that's a single weak point. Learn window functions and how to find sequences. It's isolation-able prep.
Is Top K Frequent Elements the hardest thing I'll see?+
It's the most complex in breadth. It can be solved via hash table plus sorting, a heap, bucket sort, or quickselect. Study at least two approaches. No hard problems are reported, so you're safe there.