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Analysis Group Research Analyst Intern Interview Questions, Process, and Tips

Updated 3 Apr 2024

Top Analysis Group Research Analyst Intern Interview Questions and Answers

Analysis Group Research Analyst Intern Interview Experiences

2 interviews found

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Selected Selected

I applied via Company Website and was interviewed before Apr 2023. There were 2 interview rounds.

Round 1 - One-on-one 

(1 Question)

  • Q1. Describe a problem you encountered when performing your analysis and how you resolved it
  • Ans. 

    Encountered a data discrepancy while analyzing sales data

    • Discovered inconsistencies in sales figures between different data sources

    • Investigated the issue by cross-referencing data and identifying the source of the discrepancy

    • Resolved the problem by updating the incorrect data and ensuring consistency across all sources

  • Answered by AI
Round 2 - Technical 

(2 Questions)

  • Q1. Explain a p value
  • Ans. 

    A p value is a measure of the strength of evidence against the null hypothesis in a statistical hypothesis test.

    • P value is a probability value that measures the likelihood of obtaining results at least as extreme as the observed results, assuming the null hypothesis is true.

    • A p value less than 0.05 is typically considered statistically significant, indicating strong evidence against the null hypothesis.

    • A p value greate...

  • Answered by AI
  • Q2. Explain basic regression
  • Ans. 

    Basic regression is a statistical method used to analyze the relationship between a dependent variable and one or more independent variables.

    • Regression helps in predicting the value of the dependent variable based on the values of independent variables.

    • It is used to understand the strength and direction of the relationship between variables.

    • Common types of regression include linear regression, logistic regression, and

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Selected Selected

I applied via Company Website and was interviewed before Apr 2023. There were 2 interview rounds.

Round 1 - Aptitude Test 

Describe a problem you encountered working with your data and how you resolved it

Round 2 - Technical 

(2 Questions)

  • Q1. Explain a p value
  • Ans. 

    A p value is a measure of the strength of evidence against the null hypothesis in a statistical hypothesis test.

    • P value is a probability value that measures the likelihood of obtaining the observed data if the null hypothesis is true.

    • A p value less than 0.05 is typically considered statistically significant, indicating strong evidence against the null hypothesis.

    • A p value greater than 0.05 suggests that the observed da...

  • Answered by AI
  • Q2. Describe basic regression
  • Ans. 

    Basic regression is a statistical method used to analyze the relationship between a dependent variable and one or more independent variables.

    • Regression analysis is used to predict the value of the dependent variable based on the values of the independent variables.

    • The most common type of regression is linear regression, where a straight line is used to model the relationship between variables.

    • Other types of regression ...

  • Answered by AI

Skills evaluated in this interview

Research Analyst Intern Interview Questions Asked at Other Companies

Q1. Describe a problem you encountered when performing your analysis ... read more
Q2. Explain about extrusion technology
Q3. Explain basic regression
Q4. Describe basic regression
Q5. Explain a p value

Interview questions from similar companies

I applied via Campus Placement and was interviewed in Jan 2016. There were 6 interview rounds.

Interview Questionnaire 

3 Questions

  • Q1. Questions on resume
  • Q2. Small Case study ( statistics )
  • Q3. Why analytics and goal in life
  • Ans. 

    Analytics helps me make informed decisions and achieve my goals in life.

    • Analytics provides valuable insights and data-driven solutions to complex problems.

    • Setting goals helps me stay focused and motivated towards achieving personal and professional success.

    • By analyzing data and setting specific goals, I can track my progress and make necessary adjustments to reach my objectives.

    • For example, in my previous role as a mar...

  • Answered by AI

Interview Preparation Tips

Round: Resume Shortlist
Experience: Dual Degree students with decent CPI, relevant projects and extras
Tips: Highlight subjects and projects involving data mining, machine learning, marketing research

Round: Test
Experience: PST had 26 questions to be done in an hour (3 cases) and 20 QUESTIONS in 30 mins general apti (level: 2-3 of Arun sharma)
Tips: practice!
Duration: 1 hour 30 minutes
Total Questions: 46

Round: Technical + HR Interview
Experience: Since my resume was filled with

College Name: IIT Kanpur

I was interviewed in Dec 2016.

Interview Preparation Tips

Round: Resume Shortlist
Experience: For CSE and EE students , CPI was not at all seem to be a criteria for shortlisting and almost all who have a decent profile got shortlisted for the test. However, for other department students they shortlisted above 9 CPI students.

Round: Test
Experience: It was a 2 hour test. It consisted of 3 sections-Quant , Machine Learning and Computer Science . Each section had 10 questions and 45 minutes were allotted for each section.
Being from non-CSE background I attempted only 2 sections ie. Quant and Machine Learning. Machine Learning section was fairly easy this time and almost all questions were standard. If someone has done an introductory course on Machine Learning and basic stats , this section was a cake walk for him. However , attempting quant section required some preparation of solving probability puzzles (computing expectations etc.) ,basic linear algebra and geometry base questions.
Duration: 2 hours

Round: Technical Interview
Experience: I had 2 rounds of interview. Both were technical ones.
In the first interview , they asked some probability puzzles (from 50 challenging problems in probability book) . Since I had completed that book before , I was able to solve them . Then they asked 1-2 algorithm based questions like formulate an efficient algorithm for solving a particular problem. I was not able to solve them completely but tried to give them the overview of y approach. The interviewer didn't seem to be satisfied though. It lasted for around 20-25 minutes.He told me to wait outside . To my surprise, I was called for the 2nd round.
The second went better than the first round. They again asked questions on computing probability , expectations , constructing a Markov Chain for a a given problem etc. Since I had done 1 course in Fiance also , he asked me questions from it also which were quite easy. Then he began asking algorithms and asked me to explain a sorting algorithm and I chose Quick Sort. While explaining it , I got struck at one point but the interviewer was helping me by giving hints and I was able to explain it fully. The second round was quite exhaustive as it went on for around 45-60 minutes.

Skills: Problem Solving Abilties, Mathematical Aptitude, Algorithmic Approach To Problem Solving, Machine Learning, Statistical Method Basics
College Name: IIT Kanpur

I was interviewed before Jun 2016.

Interview Preparation Tips

Round: Resume Shortlist
Experience: McKinsey looks for a spike in your resume, people who have commendable achievements is their field of choice, academics, extra curriculars or sports. So be sure to make your resume accordingly. McKinsey adds a lot of weight-age to formal awards, scholarships, achievements (like inter-IIT) etc. But if you don?t have them (like me) you just have to make extra effort to show that you have equivalent achievements.

Round: Technical + HR Interview
Experience: First I was asked about myself and mostly my connection to dance and the dance club. (Some interviewers do this to make you comfortable at the same time analyzing your personality). In the first interview I was given an estimation case about the dish TV industry. Here the interviewer was mostly interested in my approach to solving the problem and if applicable my numerical skills. The second interview was a pure business case about the printing business. Here my creativity and business sense (read common sense as applicable to a business situation) was put to test.
Tips: Take on every interview as if that job doesn?t mean anything to you.

I was interviewed in Dec 2016.

Interview Questionnaire 

9 Questions

  • Q1. Given coordinates of some points, find a figure that encompasses all of the points. The figure should have the least possible area and be formed by joining points using straight lines. Convex Hull.
  • Ans. 

    The Convex Hull is the smallest convex polygon that encloses all given points.

    • Sort the points based on their x-coordinate.

    • Find the upper hull by starting from the leftmost point and moving clockwise.

    • Find the lower hull by starting from the rightmost point and moving counterclockwise.

    • Combine the upper and lower hulls to form the convex hull.

  • Answered by AI
  • Q2. Good old standard problem: Playing number game with your friend to select any of the number between 1 to 3. Whoever reaches 20 first, wins. You have to tell the strategy to win the game. Basically, you sta...
  • Ans. 

    The strategy is to always subtract the number chosen by the friend from 4 to ensure reaching 16 first.

    • Start with 20 and subtract the number chosen by the friend from 4.

    • Continue this strategy until reaching 16 before the friend reaches 17-19.

    • Ensure the friend ends up at any number between 17 to 19 before reaching 16.

  • Answered by AI
  • Q3. 2nd interviewer asked me a question on calculating variance, about gaussian distribution and something about my internship.
  • Q4. 3rd were these really cool dudes who started of with a matrix problem where each element was sum of row^2 and e^column. Now I had to prove something about equality of sum of elements that I don’t clearly r...
  • Q5. The other one asked me a puzzle about two carts placed on a track with sensor below them. You can start cart with specific speed but afterwards you can control the motion only when cart passes sensor and w...
  • Q6. 4th interviewers were really senior. They asked me about general stuff like my interns and interests. Then they asked me about Yelp dataset challenge and NLP featured in my AI project.
  • Q7. They also asked some basic questions about libraries featured in Scikit (Python Library on Machine Learning Techniques)
  • Q8. Finally they asked me about flash crash in stock market related to another project in intern.
  • Q9. Row sorted and column sorted matrix problem of finding an element.
  • Ans. 

    The problem involves finding an element in a matrix that is sorted both row-wise and column-wise.

    • Start from the top-right corner of the matrix

    • Compare the target element with the current element

    • If the target is smaller, move left; if larger, move down

    • Repeat until the target is found or the matrix boundaries are crossed

  • Answered by AI

Interview Preparation Tips

Round: Resume Shortlist
Experience: They shortlist around 300 resume from whole batch for next round.
Tips: Basically add your projects related to Machine Learning and coursework related to Math. GS is one of the companies which reviews resume carefully (At least I think so :P), reason being me selected even after a low CPI. Around 250 to 300 students were shortlisted from resume for second round.
GS is one of the rarest firms that will go through your resume thoroughly. Most important part is that GS is a firm you want to go for if you have a modest CPI and are genuinely interested in global markets.
They hire for Strats and Quants division. So highlight projects related to Natural Language Processing, Artificial Intelligence and Machine Learning Techniques. Mathematical coursework and internship in related field could be elaborated too. Even students with no internship experience whatsoever were selected due to their background in Machine Learning related coursework.
I have a little or no idea about programming division as it revolves around networking and related projects.

Round: Test
Experience: They started hosting test online on hackerrank. It includes three sections with equal weightage to each of them. You have 45 minutes for individual sections. There are three type of questions asked - MCQ (+10, -3), Fill in the blanks (Numbers upto 2 decimal places; +10, -0) and 2 coding questions in programming section (+20, -0).
Programming - 2 coding questions. Questions about networking, cache and DSA (postfix and prefix expression from stack related algorithms).
Quant - Cattle grazing the circular field tied from a pole at the corner of a rectangular shade with a rope. Some about practical probability problem of die throws. Other about matrices and determinant. Theoretical questions in probability covers a major portion in form of expected value, correlation and covariance calculations. This section had some integer type questions.
Data Sciences - MLT theory should be a stronghold. Particularly confusing theoretical questions. Some of them had 4 statements and then 4 options asking correct statements so you have to be good at multiple topics. Typical question include possible solution to account for missing input data and regularization among others.
Tips: You have to be good at any two of the sections. Quant is quite competitive as the questions are easier and CSE guys can attempt these too from mathematical coursework on prob and stats. Typically whole batch is rooting for this profile because of lesser chance in CS related profile.
A little brushing up old DS notes won't hurt anyone. Specially tree, graphs (algorithms like Bellman Ford, Djikstra and Prim's algo), complexity of standard algorithms and postfix, prefix expression derivation will help a long way. Coding questions demand efficient solution, otherwise you won't be able to clear all test cases because of TLE.
For quant, Prob Stats and Linear Algebra course review is highly recommended. A little aptitude (CAT related although a lot higher standard than that) will help too.
In data sciences, ML lectures will help a lot as most part is theoretical which can be solved if you have your concepts strong. Gaussian distribution, Regularizer, PCA are some of the topics which were asked about.
Duration: 2 hours 15 minutes

Round: Technical Interview
Experience: At first I couldn

Skills evaluated in this interview

Interview Preparation Tips

Round: Test
Experience: The test had 2 parts. 1)Objective (90 mins) 2) Subjective (90 mins). Both the paper were divided into 3 sections 1) Computer Science 2)Math & 3)Data Science .

To get shortlisted you need to do well on only one of the section.

Round: Technical Interview
Experience: Probability Interview and discussion on projects that I have worked upon on in the institute.

Probability questions were given a quadratic equation whose coefficients are RVs , what is the probability that the roots are real.

College Name: IIT Madras

I was interviewed in Dec 2016.

Interview Preparation Tips

Round: Test
Experience: They had two rounds of test, one all objective and the other one all subjective. You had to clear a minimum cut off in the objective in order to get your subjective checked
Duration: 3 hours
Total Questions: 40

Round: Technical Interview
Experience: CV grilling, no hr questions

Interview Preparation Tips

Round: Test
Experience: You are not supposed to know everything. If you do exceptionally well in one or two sections in each paper and even leave third section completely (which I did) then you are through. Third section was mainly for CSE guys. In subjective part Algorithm section had 5 questions and maths section had 4 questions. Questions in maths section were based on probability, linear algebra, differential equation and discrete maths. Randomized algorithm course taught by Baswana sir was really helpful in doing probability questions. Questions were doable if you knew the concepts well. For algorithms part concepts taught in basic Data structure and algorithm course were enough. Questions were based on linked list, binary tree, stack, queue, sorting, Dijkstra etc.
Duration: 75 minutes minutes

Round: Test
Experience: Each section in objective paper had 10 questions and there was negative marking. On the basis of test they selected 75 candidates.
Duration: 75 minutes minutes

Round: Technical Interview
Experience: I was asked about my thesis 3-4 times as I had done some good work in Thesis and had submitted 2 paper based on it. Also as my work was on (Data Compression) Information theory which involves a lot probability and the problems I worked on was of theoretical nature, so I was able to relate it with them. So it was one of my plus point. They asked some questions from topics related to my thesis.

Round: Puzzle Interview
Experience: They asked some algorithmic puzzles and some probability and other maths puzzles. At no point of time I was asked to write the code (but it totally depends on the team they are looking you for) I just had to tell them how to solve the problem.
Tips: Don’t hurry in interview and take your time to solve the problem. Also at every point keep interviewer engaged and keep telling him in which direction you are proceeding and also why you are doing this.

General Tips: Start preparing from summer itself. If you are targeting quant companies I will advise you start preparing even before for probability and puzzles as you can’t become good in these things overnight. I am not saying you to give 1 -2 hour daily for puzzles rather I will advise you to do just 1-2 puzzles whenever you have time and enjoy it.

Don’t leave everything for the last time you will for sure run short of time so finish the important tasks first. Make goals which are practically achievable.

Skill Tips: Focus on your Study.. Revise the subject that you have studied at the time of Interview
Skills: Technical Skills
College Name: IIT Kanpur

I applied via Campus Placement and was interviewed in Dec 2016. There were 3 interview rounds.

Interview Questionnaire 

8 Questions

  • Q1. What is the expected number of tosses of a fair coin to get 3 consecutive heads?
  • Ans. 

    Expected number of tosses of a fair coin to get 3 consecutive heads.

    • The probability of getting 3 consecutive heads is 1/8

    • The expected number of tosses to get 3 consecutive heads is 14

    • This can be calculated using the formula E(X) = 2^k + 2^(k-1) + 2^(k-2) + ... + 2^2 + 2^1 + 2^0, where k is the number of consecutive heads required

  • Answered by AI
  • Q2. There is an urn with n red balls and 1 black ball in it. You and your friend play a game where you take turns drawing from the urn. The player who draws the black ball first wins. Should you go first or se...
  • Ans. 

    Go second. The probability of winning is higher when going second.

    • The probability of winning when going first is (1/n+1), while the probability of winning when going second is (n/n+1)

    • This is because the first player has a chance of drawing the black ball on their turn, while the second player has a chance of drawing the black ball on their turn or the first player's turn

    • For example, if there are 10 red balls and 1 blac...

  • Answered by AI
  • Q3. You roll a die until the sum of all die rolls becomes at least 100. What is the most likely value of the last roll?
  • Ans. 

    What is the most likely value of the last roll in a game where a die is rolled until the sum of all rolls is at least 100?

    • The last roll must be at least 4 to reach a sum of 100

    • The probability of rolling a 4, 5, or 6 is 1/2

    • The most likely value of the last roll is 4 or 5

  • Answered by AI
  • Q4. You have an n x n matrix in which all the rows and all the columns are sorted. Given an input number, describe an algorithm to search for the number in the matrix
  • Ans. 

    Algorithm to search for a number in an n x n matrix with sorted rows and columns.

    • Start from the top-right corner of the matrix

    • If the current element is greater than the target, move left

    • If the current element is less than the target, move down

    • Repeat until the target is found or the bottom-left corner is reached

  • Answered by AI
  • Q5. Given two arrays of size n each, describe an algorithm to find the largest common subarray of the two arrays
  • Ans. 

    Algorithm to find largest common subarray of two arrays of size n

    • Create a 2D array to store the lengths of common subarrays

    • Traverse both arrays and fill the 2D array with lengths of common subarrays

    • Find the maximum length and its corresponding ending index in the 2D array

    • Use the ending index to retrieve the largest common subarray from either of the arrays

  • Answered by AI
  • Q6. Why do you want to join Goldman Sachs?
  • Ans. 

    I am excited to join Goldman Sachs because of its reputation for excellence and the opportunities it offers for professional growth.

    • Goldman Sachs is a leader in the financial industry and has a strong reputation for excellence.

    • I am impressed by the firm's commitment to innovation and its focus on delivering value to clients.

    • I believe that working at Goldman Sachs will provide me with the opportunity to learn from some ...

  • Answered by AI
  • Q7. Walk me through your resume
  • Ans. 

    I have experience in marketing and sales, with a focus on digital marketing and lead generation.

    • Started career as a marketing intern at XYZ company

    • Managed social media accounts and email campaigns for ABC company

    • Implemented SEO strategies and increased website traffic by 30%

    • Led a team of 5 sales representatives and exceeded quarterly sales goals by 20%

    • Currently working as a digital marketing specialist at DEF company

  • Answered by AI
  • Q8. There is a 2D plane with infinite parallel, vertical lines with a spacing of 1 unit between them. You drop a rod of length L randomly on the plane, with random position and orientation. What is the probabi...
  • Ans. 

    Probability of a randomly dropped rod of length L intersecting a line on a 2D plane with infinite parallel, vertical lines.

    • The probability depends on the length of the rod L.

    • The probability can be calculated using geometric probability.

    • The probability is 1 - (2L - 1) / infinity.

    • For example, if L = 1, the probability is 0.5.

    • If L = 2, the probability is 0.75.

  • Answered by AI

Interview Preparation Tips

Round: Technical Interview
Experience: Puzzles, probability questions
Tips: Brush up on probability problems

Round: Technical Interview
Experience: Questions on resume, especially interns.
Tips: Know your resume inside out.

Round: Technical Interview
Experience: Puzzles, algorithm questions
Tips: Learn algorithms from geeksforgeeks

Round: Technical + HR Interview
Tips: Be familiar with your resume, prepare for generic HR questions

Skills: Problem Solving Skills, Algorithm, Probability And Statistics, Knowledge Of Your Resume Points
College Name: IIT Madras

Skills evaluated in this interview

Analysis Group Interview FAQs

How many rounds are there in Analysis Group Research Analyst Intern interview?
Analysis Group interview process usually has 2 rounds. The most common rounds in the Analysis Group interview process are Technical, Aptitude Test and One-on-one Round.
What are the top questions asked in Analysis Group Research Analyst Intern interview?

Some of the top questions asked at the Analysis Group Research Analyst Intern interview -

  1. Describe a problem you encountered when performing your analysis and how you re...read more
  2. Explain basic regress...read more
  3. Describe basic regress...read more

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Analysis Group Research Analyst Intern Interview Process

based on 2 interviews

Interview experience

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