CARE Data Analyst Interview Questions and Answers

Interview preparation tips for other job seekers - be real and knowlede about NRLM

Round: Resume Shortlist
Experience: My resume had a couple of projects and a paper publication added to it, which was a part of my second year intern at TCS Innovation Labs.

Tips: I believe that the resume shortlist to appear for the test is just a formality and not a big deal to get through. Most of the students are allowed to appear for the test which is where, the main shortlisting occurs.
Although, the company does cut off people from certain departments. For example, none of the Agriculture and food engineering students were shortlisted for appearing for the test.
Also, from what I have heard, the company runs resumes through a program to take out the shortlist. Hence, certain key words such as "Scholar" or "Conference" may get you a good chance to get through the shortlisting.

Round: Test
Experience: The test is mainly quant based and how fast you can think and rationalize. They expect excellent speed; they ask you 20 questions to be answered in 30 minutes.
Tips: Normally, if a student is asked to appear for this right after his JEE examination, he would be able to get through it easily. But since our analytical thinking goes way down once we actually get in, it has to be worked upon again. I'd suggest you to solve all the quant questions of any CAT preparatory book for the American Express test. The test questions are quite similar to those that the CAT students prepare for.

Round: Technical Interview
Experience: In general, the American Express interviews are considered to be pretty peaceful compared to the interviews of other companies. I was just asked about my work at TCS Innovation Labs and the paper I would be publishing based on that work and the courses I have done in Data Analytics and what all do I know in it. They do not test the knowledge you say you possess.
Tips: While I was preparing for my interview, I was told to read about Amex and its products. Secondly, and most importantly, I was aksed to read a lot about credit card frauds and suggest ways of preventing that. Even during my time, a lot of people were asked about this and judged severely on that. This is a must must if you would be appearing for its interview.

Also, you would do well if you are able to connect with the interviewer. For instance, if both of you have been a part of the same inter IIT or have the same tastes, etc.

Also, the interviews are that peaceful that you are able to direct the interview in your favour. There are certain parts of your CV that you can easily talk about and certain parts that you would want to avoid. If you are able to think on your feet, it is easy to re direct the interview in your favour and the things that you would like to talk about; in my case, it was my work at TCS.

Round: Puzzle Interview
Experience: The main decision whether you have to be taken in or not is decided in your first round of interview after which, the puzzle interview is just a formality and to find out whether you are able to think on your feet or not. Not a big deal, pretty easy.
Tips: Nothing to be worried about, the puzzles asked are pretty easy and most probably, you would have already heard them if you have a nag of solving puzzles.

General Tips: Do not worry or stress yourself much. The interview is pretty easy if you have an edge in the skills that the company wants. I had started studying Data Analytics in my second year summer vacations, just 1 hour a day for hardly about a month. Which gave me enough of an edge. The main hurdle lies in getting through the test round where about 300 people are simply cut off.
Skill Tips: You should be able to code efficiently. Knowledge in Python and SQL is a big plus.
Also, I had done a course on Coursera called "Machine Learning" of Stanford University. Today, the company does not expect a lot of knowledge in Data Analytics from students which is why this course gave me the edge I needed to get through the interview. It's a pretty easy course and not very demanding. I would recommend this if you want to find out even whether you'd be interested in Data Analytics or not.
I was asked about the things I know and whether I have ever implemented them.
Skills: Analytics And Coding
Duration: 2
College Name: IIT Kharagpur
Motivation: American Express is known to have a good working culture and is currently the third best company to work for in India. The internship stipend is largest compared to any other company in India along with accommodation and travel. The company has a well structured internship program and also has good challenging work to offer.
Funny Moments: After the test, I was not shortlisted for the interview round.. Which broke my heart.
Just after the presentation, I walked up to the person presenting and handed him a hard copy of my resume asking him to at least give me a shot at the interview if they think my profile is good enough.
I believe that this was a turning point of this entire experience. I believe, at that moment itself, I gained their favour to take me in. Which is probably why my interview was peaceful, which is probably why I could get through even though my interview was the last among a bunch of 25 students..

Round: Test
Experience: The written test consists of 2 sections. First section is of verbal reasoning which is very easy. And second section consists of data interpretation, quant questions.
Tips: Speed and accuracy are important in this test. Daily practicing of aptitude can get you through the exam.
Duration: 45 minutes
Total Questions: 40

Round: Technical + HR Interview
Experience: After entering the interview room, the first question asked to me was "Walk me through your CV ".After that, I was asked some puzzle questions, one math question and a case study question which was bit difficult. The interviewer was trying to make me stressed by picking one of my strengths and saying that he considers it as my weakness. He was not convinced with whatever I said but in order to overcome above stress be clam and cool. Say what you know without hesitation, be strong, and be yourself. Last but not the least, don't bluff because he will eventually figure it out, even if you bluff say it convincingly.
Tips: Be perfect about what you have written in your CV and just be yourself.

Round: HR Interview
Experience: HR round was very cool . Actually the panel was friendly with me. They asked some common HR questions. That's it about this round.
Tips: Be fluent and develop good communication skills.

College Name: NIT Bhopal

Round: Test
Experience: The Maths section had questions on basic probability and statistics. Also the Maths section had a higher weight age than the other sections (Questions carrying 3 marks each while other sections had 1 or 2 marks for each question. They were here, offering a quant profile so that justifies the distribution.) The DI/Quant (2 marks each) and English (1 Mark Each) section were similar to CAT. The finance section had questions on Basic Accounting. Anyone who did well in the Maths section could find his name in the shortlist.

Round: Technical + HR Interview
Experience: Possible Lapses: I

Round: Resume Shortlist
Experience: Sent resume to an HR through Linkedin and got the call for interview

Round: Technical Interview
Experience: Had 3 rounds of technical interviews with Product Owner, Product Manager and VP Product. Most of the questions were related to maths, statistics and a few on machine learning. Even though I did not have much background on these, I was asked to give my inputs and try to find a solution. We discussed recommendation engines for Quora, Linkedin and e-commerce websites. Then they asked me how can we remove the bias that comes in the practo ratings of the doctors due to feedback from various channels. How can we identify if the customer is booking an appointment by looking at reviews or ratings? How can we identify spam reviews before publishing them? How can we build a product which can help users write a better quality review? Most of the questions were related to data science and how we can improve the products using data. The data analyst role for which I was being interviewed, was a first of its kind role in Practo. The JD was to basically work with the product team and help them in improving products, building new features etc. using data science/ data analytics.

Skills: Product Sense, Attitude, Data Science, Data Analysis, Basics Of Machine Learning
College Name: IIT Madras
Motivation: being the leader of the healthcare industry, high growth startup, opportunity to solve interesting problems using data

Round: Test
Experience: The coding question was:
Given a binary string containing 0's and 1's. You can split the string such that each partition should be a exponential of 5 (1,5,25,625...). You were asked to return minimum number of partition for the given string such each partition is exponential of 5. If no such partition exists return -1.
Examples: '101101101' Ans: 3 (101, 101, 101)
'111' Ans: 3 (1,1,1)
10101 Ans: -1
Tips: For MCQ's prepare DSA, OS and Networking. For DSA you can refer to cormen
For Coding question practice on either geeksforgeeks or from any of the coding platforms like hackerrank
The shortlist was mainly dependent on coding question
Duration: 1 hour 30 minutes

Round: Puzzle Interview
Tips: Do lot of puzzles from heard on the street, -----/ , Try to search for more. It will be helpful in other interviews as well

Round: Technical Interview
Tips: Practice algorithm section from geeksforgeeks. There are lot of standard problems. The given questions were slightly modified version of standard problems

Round: Technical Interview
Tips: For this round you need to be well prepared with your projects and resume.

College Name: IIT Madras

General Tips: Interview was short. Explained the role which was similar to the work I was doing before in my previous healthcare organization.

EDI related questions were asked. All type of file conversion and Excel formulas been asked.

Prepare well with on the above areas. It takes around 30 minutes.
Skills: Problem Solving, Analytical Skills, Presentation Skills, Time Management
Duration: <1 week