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B3Intelligence Data Analyst Interview Questions and Answers
B3Intelligence Data Analyst Interview Experiences
1 interview found
Anonymous
(1 Question)
- Q1. Basic hr questions
(1 Question)
- Q1. Technical excel questions and sql
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Interview Preparation Tips
Experience: The questions were of medium to high difficulty. What set this test apart was the fact that each question had different weightage ranging from 0.5 to 3 marks per question. Time was a major factor. So my strategy was to attempt all the 1 and 1.5 marks questions which constitute the major chunk of the paper in around 40 minutes and spend the remaining 20 minutes for the 2 and 3 mark questions. I did not even bother reading the 0.5 mark questions. The 2 and 3 mark questions were difficult and those will differentiate you from others. 1600 students wrote the test and only 86 got shortlisted for the next round.
Duration: 60 minutes
Total Questions: 40
Round: Technical Interview
Experience: I was asked to write a C program to print the Fibonacci sequence and a basic SQL query. Apart from this I was asked a puzzle and other questions related to my resume. Out of the 86, only 26 students were called for the next round which again was a technical interview.
Round: Technical Interview
Experience: This was similar to the first technical interview. I had to write a C program to print the prime numbers between 1 and 100 and a puzzle was asked again. Apart from this a guesstimate to find the number of cars between 2 places was asked and a scenario based question too was asked. These were followed by resume related questions.
Round: HR Interview
Experience: All the 26 students who attended the second technical round were allowed to attend HR round as well. This was just for 4 - 5 minutes. I was asked about my family background and why I should be hired. My fondest memories from school days were asked too. Finally offer letter was given to 10 students out of the 1600 who wrote the test :P
General Tips: Just keep a calm head and attempt the questions. Ask for time to think if you are not able to answer the questions immediately. Be bold and confident. That is sufficient :)
Skills: Puzzle Solving Capability, Ability To Think, SQL, C Programming
College Name: VIT Vellore
I was interviewed in Mar 2017.
Interview Questionnaire
1 Question
- Q1. Views on their recruiting process
- Ans.
I believe the recruiting process is thorough and well-organized.
The company uses a combination of resume screening, interviews, and assessments to evaluate candidates.
They have a clear timeline for the hiring process and keep candidates informed of their progress.
Feedback is provided to candidates after interviews to help them improve for future opportunities.
Interview Preparation Tips
Experience:
I applied via Naukri.com and was interviewed in Sep 2022. There were 3 interview rounds.
SQL test has been conducted nearer to 12-15 questions.
(2 Questions)
- Q1. Normal discussion, about salary negotiation
- Q2. Asked about my past company experience
Interview Preparation Tips
They have lots of opportunities.....................
Selected
I applied via Campus Placement
Normal Aptitude Test
Python or SQL coding round
Sathish Kumar
(1 Question)
- Q1. What is joins and types?
- Ans.
Joins are used to combine rows from two or more tables based on a related column between them.
Types of joins include inner join, left join, right join, and full outer join
Inner join returns rows when there is at least one match in both tables
Left join returns all rows from the left table and the matched rows from the right table
Right join returns all rows from the right table and the matched rows from the left table
Ful...
(1 Question)
- Q1. How you will be handling the projects
Was maths quants etc
Interview Preparation Tips
(1 Question)
- Q1. Problem solving on the spot
I applied via Campus Placement and was interviewed in May 2024. There were 2 interview rounds.
Easy question was asked along with some aptitude questions.
(2 Questions)
- Q1. Explain your project and the challenge you faced while doing the project?
- Ans.
Developed a predictive model for customer churn in a telecom company.
Collected and cleaned customer data including demographics, usage patterns, and customer service interactions.
Used machine learning algorithms such as logistic regression and random forest to predict customer churn.
Challenges faced included imbalanced dataset, feature selection, and model evaluation.
Implemented techniques like SMOTE for handling imbal...
- Q2. Basic join questions of SQL were asked
Interview Preparation Tips
(1 Question)
- Q1. Few dax and sql queries
(1 Question)
- Q1. Salary discussion
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