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USEReady Business Intelligence Analyst Interview Questions and Answers

Updated 29 May 2023

USEReady Business Intelligence Analyst Interview Experiences

1 interview found

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before May 2022. There were 2 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Technical 

(2 Questions)

  • Q1. Basic to medium SQL questions.
  • Q2. Bi tools tableau questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Brush through SQL and tableau

Interview questions from similar companies

Interview experience
1
Bad
Difficulty level
Moderate
Process Duration
6-8 weeks
Result
No response

I applied via Walk-in and was interviewed in Dec 2024. There were 3 interview rounds.

Round 1 - HR 

(2 Questions)

  • Q1. How could you use AI in a company?
  • Q2. Tell me about your past experience.
Round 2 - Aptitude Test 

Few maths , few English , few problem solving

Round 3 - Technical 

(2 Questions)

  • Q1. Few details about data Science regressions and all
  • Q2. Write pseudo code in python

Interview Preparation Tips

Interview preparation tips for other job seekers - Please ask them if they are serious about this job or if they are doing the time pass as they don't have anything else to do, even if they tell you they are selecting you don't believe them, don't leave other offers because of them.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Naukri.com and was interviewed in Nov 2024. There was 1 interview round.

Round 1 - One-on-one 

(1 Question)

  • Q1. What is the detailed working mechanism of Decision Trees, and how are they utilized for classification tasks?
  • Ans. 

    Decision Trees are a popular machine learning algorithm used for classification tasks by recursively splitting the data based on feature values.

    • Decision Trees work by recursively splitting the data based on feature values to create a tree-like structure.

    • At each node, the algorithm selects the feature that best splits the data into purest possible subsets.

    • This process continues until a stopping criterion is met, such as...

  • Answered by AI
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Approached by Company and was interviewed in Aug 2024. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Explanation of decision trees
  • Ans. 

    Decision trees are a type of supervised machine learning algorithm used for classification and regression tasks.

    • Decision trees are hierarchical structures where each internal node represents a feature or attribute, each branch represents a decision rule, and each leaf node represents the outcome.

    • They are easy to interpret and visualize, making them popular for decision-making processes.

    • Decision trees can handle both nu...

  • Answered by AI
  • Q2. Explanation of svm
  • Ans. 

    Support Vector Machine (SVM) is a supervised machine learning algorithm used for classification and regression tasks.

    • SVM finds the hyperplane that best separates the classes in a high-dimensional space

    • It works by maximizing the margin between the closest data points from different classes

    • SVM can handle non-linear data by using kernel functions to map data into higher dimensions

    • It is effective for small to medium-sized

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Focus on ml techniques.

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
-
Result
Selected Selected
Round 1 - Assignment 

Object Detection on a subset of COCO dataset having Cars and Person classes

Round 2 - Technical 

(1 Question)

  • Q1. Technical discussion on Machine Learning, Deep Learning Concepts and coding round.
Round 3 - Technical 

(1 Question)

  • Q1. Technical discussion on Deep Learning and Computer Vision.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
No response

I applied via Company Website and was interviewed in May 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. SQL related basic theory questions
  • Q2. SQL coding test

Interview Preparation Tips

Topics to prepare for Equifax Senior Data Analyst interview:
  • SQL
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Aptitude Test 

Mcq type aptitude is there

Round 3 - Coding Test 

Basic level logical questions will be there

Round 4 - One-on-one 

(1 Question)

  • Q1. Hr round taken by hr person only

USEReady Interview FAQs

How many rounds are there in USEReady Business Intelligence Analyst interview?
USEReady interview process usually has 2 rounds. The most common rounds in the USEReady interview process are Resume Shortlist and Technical.
What are the top questions asked in USEReady Business Intelligence Analyst interview?

Some of the top questions asked at the USEReady Business Intelligence Analyst interview -

  1. Basic to medium SQL questio...read more
  2. Bi tools tableau questi...read more

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USEReady Business Intelligence Analyst Interview Process

based on 1 interview

Interview experience

4
  
Good
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USEReady Business Intelligence Analyst Salary
based on 59 salaries
₹3 L/yr - ₹10.3 L/yr
32% less than the average Business Intelligence Analyst Salary in India
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USEReady Business Intelligence Analyst Reviews and Ratings

based on 4 reviews

4.5/5

Rating in categories

4.2

Skill development

4.5

Work-life balance

3.3

Salary

4.5

Job security

4.5

Company culture

3.0

Promotions

4.2

Work satisfaction

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