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Analysis Group Research Analyst Intern Interview Questions, Process, and Tips
Top Analysis Group Research Analyst Intern Interview Questions and Answers
- Q1. Describe a problem you encountered when performing your analysis and how you resolved it
- Q2. Explain basic regression
- Q3. Describe basic regression
Analysis Group Research Analyst Intern Interview Experiences
2 interviews found
Anonymous
Selected
I applied via Company Website and was interviewed before Apr 2023. There were 2 interview rounds.
(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
(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...
- 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
Skills evaluated in this interview
Selected
I applied via Company Website and was interviewed before Apr 2023. There were 2 interview rounds.
Describe a problem you encountered working with your data and how you resolved it
(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...
- 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 ...
Skills evaluated in this interview
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Interview questions from similar companies
I applied via Job Portal and was interviewed in Apr 2021. There were 5 interview rounds.
Interview Questionnaire
1 Question
- Q1. What are the factors you consider while predicting customer churn?
- Ans.
Factors considered for predicting customer churn
Customer behavior and usage patterns
Customer demographics and characteristics
Customer feedback and satisfaction levels
Competitive landscape and market trends
Product or service quality and reliability
Pricing and promotions
Customer service and support
Contract terms and renewal dates
Interview Preparation Tips
Be clear in your answers
Interview Questionnaire
1 Question
- Q1. Guesstimate question- how much revenue does a mall earn in a day.
- Ans.
A mall's daily revenue depends on various factors such as location, size, footfall, and tenant mix.
The location of the mall plays a crucial role in determining its daily revenue.
The size of the mall also affects the revenue as larger malls tend to have more tenants and footfall.
The footfall in the mall is directly proportional to the revenue generated.
The tenant mix is another important factor as high-end stores tend t...
I applied via Campus Placement and was interviewed before May 2020. There were 4 interview rounds.
Interview Questionnaire
1 Question
- Q1. TELL ME ABOUT YOURSELF
Interview Preparation Tips
I applied via Job Portal and was interviewed before Jun 2020. There were 3 interview rounds.
Interview Questionnaire
1 Question
- Q1. Question from resume
Interview Preparation Tips
I applied via Walk-in and was interviewed before Oct 2020. There was 1 interview round.
Interview Questionnaire
2 Questions
- Q1. Introduce yourself
- Q2. How is the coronavirus
Interview Preparation Tips
I applied via Walk-in and was interviewed before Nov 2019. There was 1 interview round.
Interview Questionnaire
2 Questions
- Q1. Tell me about yourself
- Q2. Why should I hire you??
Interview Preparation Tips
I appeared for an interview before Jun 2016.
Interview Preparation Tips
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.
Piyush Singla
I appeared for an interview in Dec 2016.
Interview Preparation Tips
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
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Analysis Group Research Analyst Intern Interview Process
based on 2 interviews
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