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Impact Analytics Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 142 interview experiences · FREE TO READ

2.9 Rounds average
Average Typical difficulty
61.3% Positive experience

Which role are you interviewing for?

24 roles · 142 reports

Candidate interview experiences

First-hand accounts from people who interviewed at Impact Analytics.

Showing 4 of 142
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QA Automation Tester

Engineering · nearly a year ago

Entry Average Positive experience Decline offer 4 rounds
Interview process
Technical screen Technical screen Technical screen Technical screen Recruiter call
Interview formats
Technical Coding Behavioral

It was a 4 round process. The first round was a screening round where they asked basic python syntax questions, and concepts related to strings, lists, and dictionaries. Technical rounds 1 and 2 had about 8-10 coding questions, OOPS concepts, testing questions, and questions about my projects. The coding questions included things like binary search without using built-in functions, finding unique values in a list/array, removing duplicate records, finding the frequency of each element, identifying the most frequent element, and checking for palindromes. Finally, there was a managerial round with situation-based questions and questions about my expectations.

Confirmed questions2 questions
  • Can you tell me about projects related to the role?
  • What is your experience with coding?
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Product Manager

Product · nearly a year ago

Mid Difficult Positive experience Accept offer 4 rounds
Interview process
Technical screen Phone screen Onsite
Interview formats
Technical Case Behavioral

So, this interview process for what sounds like a PM role, maybe Technical PM (AI/ML) or similar, was pretty thorough. It was split into four stages. First, a virtual techno-functional round, checking if you can connect business needs to tech stuff, like system design and APIs. Then, a virtual product skills round, focusing on how you prioritize features (using things like RICE or Kano), what metrics you track, and how you think about user journeys, maybe involving some whiteboarding. The third round was virtual too, all about AI and ML skills – asking about LLMs, RAG, practical issues like hallucinations, and AI ethics/data. Lastly, there was an in-person HR and culture fit round, which was more about behavioral questions (STAR method), negotiation, and just seeing if you'd vibe with the team and office.

Confirmed questions2 questions
  • Tell me about past experience and AI use cases.
  • Can you describe a case study relevant to this role?
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AI Analyst

Analytics · nearly a year ago

Entry Average Positive experience No offer 3 rounds
Interview process
Technical screen Onsite Recruiter call
Interview formats
Technical Case Behavioral

The hiring process had three rounds: an online assessment, a technical interview, and a final interview focusing on problem-solving and cultural fit, essentially puzzles and HR. The online assessment was pretty good, with a decent number of tricky but solvable questions. The tech interview was a bit tough, covering SQL concepts like CTEs and joins, plus a guesstimate, some puzzles, and a probability question. The final round was all puzzles to wrap things up. The main snag was the slow pace of announcements, even during campus hiring.

Confirmed questions1 question
  • Estimate how many Hershey's chocolates were sold in New York City last year.
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Data Scientist

Analytics · a year ago

Lead Average Negative experience No offer 3 rounds
Interview process
Recruiter call Technical screen Take home Onsite
Interview formats
Technical Coding Behavioral Case

Got a recruiter call first. The whole thing took about 2 weeks. There were 3 rounds. The first round had basic questions about projects, plus 1-2 SQL questions, 1 Python question, and a puzzle. Then there was an assignment: implement clustering for a clothing brand. The last round was with a lead, and they asked about my projects, team leading experience, and my reasons for wanting to join Impact Analytics. It seemed to go okay, but I got an email saying they chose someone else. No feedback was given, and the recruiter stopped responding to calls and emails.

Confirmed questions7 questions
  • Answer questions about your projects.
  • Solve 1-2 SQL questions.
  • Solve 1 Python question.

Impact Analytics Interview Questions

Quoted word for word from Impact Analytics interview reports.

Given a unidirectional graph representing paths between cities like [Chennai, Coimbatore], [Coimbatore, Chennai], [Madurai, Bangalore], write a program to find the city that cannot reach any other city.

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What is the difference between the `let` and `const` keywords in JavaScript?

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What is the difference between an array and an array list in Java?

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Can you estimate the current number of flights operating over India?

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Given 25 horses and the constraint of racing only 5 at a time, determine the minimum number of races required to identify the top 3 fastest horses, knowing only their relative speeds from each race.

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Given the object `var object = { name: 'John', details: { id: 308, address: { city: ['Bangalore'] } } }`, what is the expected output array?

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Can you estimate the total sales of diapers or sanitary pads in India?

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What's the difference between synchronous and asynchronous execution in Python?

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Can you reverse a string while keeping the spaces in their original positions?

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Formats, difficulty and experience

Across all 142 Impact Analytics interview reports.

Interview formats

Technical 39.2%
Coding 23.2%
Behavioral 22.7%
Case 8%
System Design 2%

Interview difficulty

Easy 13.4%
Average 67.6%
Difficult 19%

Candidate experience

Neutral 14.8%
Negative 23.9%
Positive 61.3%

Reports by job function

Analytics 78
Engineering 50
Operations 3
Product 3
Design 3
Marketing 2