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Barclays Global Service Centre Senior Business Intelligence Analyst Interview Questions, Process, and Tips

Updated 7 Oct 2021

Barclays Global Service Centre Senior Business Intelligence Analyst Interview Experiences

1 interview found

I applied via Referral and was interviewed in Apr 2021. There were 3 interview rounds.

Interview Questionnaire 

11 Questions

  • Q1. What is Live Vs Extract in Tableau? What is the file generated during extract and why is it faster than Live?
  • Ans. 

    Live vs Extract in Tableau and why Extract is faster

    • Live connection directly queries the data source while Extract creates a static snapshot of the data

    • Extracts are faster because they reduce the amount of data transferred over the network

    • Extracts can be scheduled to refresh at specific intervals

    • Extracts can be compressed to reduce file size and improve performance

  • Answered by AI
  • Q2. Is it possible to update data in Tableau Extract?
  • Ans. 

    Yes, it is possible to update data in Tableau Extract.

    • Tableau Extracts can be refreshed to update data

    • Data can be added, removed or modified in the data source and then refreshed in Tableau

    • Extracts can be set to refresh automatically or manually

  • Answered by AI
  • Q3. What is the difference between Relationships and Joins in Tableau?
  • Ans. 

    Relationships are used to connect tables in Tableau Prep while Joins are used to combine tables in Tableau Desktop.

    • Relationships are used in Tableau Prep to connect tables based on common fields.

    • Joins are used in Tableau Desktop to combine tables based on common fields.

    • Relationships are used to create a flow of data between tables in Tableau Prep.

    • Joins are used to create a single table from multiple tables in Tableau D...

  • Answered by AI
  • Q4. Question about Standard Deviation and why is it used in Tableau?
  • Q5. What are Dashboard Actions and what are the steps to apply Dashboard actions?
  • Ans. 

    Dashboard Actions are interactive elements that allow users to interact with the data on a dashboard.

    • Dashboard Actions are used to filter, highlight, or navigate to other dashboards or web pages.

    • Steps to apply Dashboard Actions include selecting the element to apply the action to, choosing the type of action, and configuring the action settings.

    • Examples of Dashboard Actions include clicking on a chart to filter the dat...

  • Answered by AI
  • Q6. How to show Top 10 and Bottom 10 Rankings in single Worksheet
  • Ans. 

    Use a parameter to filter data and create two separate tables, then combine them using a union.

    • Create a parameter to select the number of top and bottom rankings to display

    • Create a table for the top rankings using the parameter and the RANKX function

    • Create a table for the bottom rankings using the parameter and the RANKX function

    • Combine the two tables using a union

    • Add a column to differentiate between top and bottom ra

  • Answered by AI
  • Q7. What is difference between Sets and Group?
  • Ans. 

    Sets are a collection of unique values while groups are a collection of related values.

    • Sets contain only unique values while groups can have repeated values.

    • Sets are used for filtering data while groups are used for aggregating data.

    • Sets are used in Tableau for creating custom fields while groups are used for creating hierarchies.

    • Example of a set: a set of customers who have made a purchase in the last month.

    • Example of...

  • Answered by AI
  • Q8. Behavioral question - Will you help your colleague if your work is still pending and you don't have time?
  • Q9. Behavioral question - What would you do if you are unable to complete the task assigned to you in the required timeline?
  • Q10. How can you improve speed of Data Extractions in Tableau?
  • Ans. 

    Optimize data source, reduce number of rows/columns, use extracts, optimize queries, use filters.

    • Optimize data source by removing unnecessary columns and rows

    • Reduce number of rows and columns to only necessary data

    • Use extracts instead of live connections

    • Optimize queries by using custom SQL or aggregating data

    • Use filters to limit the amount of data being extracted

  • Answered by AI
  • Q11. How do you handle large data extracts in Tableau?
  • Ans. 

    Large data extracts in Tableau are handled by optimizing data sources, using filters, and aggregating data.

    • Optimize data sources by removing unnecessary columns and filtering data before extracting.

    • Use filters to limit the amount of data extracted.

    • Aggregate data to reduce the number of rows and columns.

    • Consider using Tableau's data engine to improve performance.

    • Use incremental extracts to only extract new or updated da...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Please go through the Barclays Values. Many behavioral questions rare based on the 5 values of Barclays.

Skills evaluated in this interview

Interview questions from similar companies

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

NER training using deep learning

Round 2 - Technical 

(2 Questions)

  • Q1. Describe the approach taken for assignment
  • Ans. 

    I approach assignments by breaking them down into smaller tasks, setting deadlines, and regularly checking progress.

    • Break down the assignment into smaller tasks to make it more manageable

    • Set deadlines for each task to stay on track

    • Regularly check progress to ensure everything is on schedule

    • Seek feedback from colleagues or supervisors to improve the quality of work

  • Answered by AI
  • Q2. Scenario based questions
Interview experience
3
Average
Difficulty level
Easy
Process Duration
4-6 weeks
Result
Selected Selected

I applied via Job Fair and was interviewed in May 2024. There were 3 interview rounds.

Round 1 - Assignment 

They gave a span of 3 days to build an AI-powered webapp

Round 2 - One-on-one 

(2 Questions)

  • Q1. How would you go about learning a new skill
  • Q2. Experience in cloud technologies
  • Ans. 

    I have experience working with cloud technologies such as AWS, Azure, and Google Cloud Platform.

    • Experience in setting up and managing virtual machines, storage, and networking in cloud environments

    • Knowledge of cloud services like EC2, S3, RDS, and Lambda

    • Experience with cloud-based data processing and analytics tools like AWS Glue and Google BigQuery

  • Answered by AI
Round 3 - One-on-one 

(2 Questions)

  • Q1. Tell me about yourself
  • Q2. Project details and challenges faced in the project
  • Ans. 

    Developed a predictive model for customer churn in a telecom company

    • Collected and cleaned customer data from various sources

    • Performed exploratory data analysis to identify key factors influencing churn

    • Built and fine-tuned machine learning models to predict customer churn

    • Challenges included imbalanced data, feature engineering, and model interpretability

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be thoroughly prepared with your projects with their details nd skills on your resume

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - HR 

(1 Question)

  • Q1. What is your goal in life
  • Ans. 

    My goal in life is to make a positive impact on others and continuously learn and grow.

    • To make a positive impact on others through my work and actions

    • To continuously learn and grow personally and professionally

    • To achieve a work-life balance that allows me to pursue my passions and interests

  • Answered by AI
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Walk-in and was interviewed in Apr 2024. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Basic questions in python
  • Q2. Questions in Ml
Interview experience
2
Poor
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed in Apr 2024. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. 1. Basics of Python 2. Basics of ML like supervised and unsupervised learning

Interview Preparation Tips

Interview preparation tips for other job seekers - Be thorough on basics and current job role
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-

I applied via Campus Placement

Round 1 - Aptitude Test 

Bulb and switch puzzle

Round 2 - Aptitude Test 

Rope burning and length question

Round 3 - HR 

(1 Question)

  • Q1. Why you want to join optum
Interview experience
5
Excellent
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 - Coding Test 

Basic DP, Array Questions

Round 3 - One-on-one 

(1 Question)

  • Q1. Resume Walkthrough and Discussion, Medium level coding questions
Round 4 - One-on-one 

(1 Question)

  • Q1. Discussion with Manager
Round 5 - HR 

(1 Question)

  • Q1. Normal HR round
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed before Aug 2023. There were 2 interview rounds.

Round 1 - Coding Test 

Easy array questions.

Round 2 - Technical 

(2 Questions)

  • Q1. Explain projects from resume.
  • Ans. 

    Developed a machine learning model to predict customer churn for a telecom company.

    • Used Python and scikit-learn to preprocess data and build the model

    • Performed feature engineering to improve model performance

    • Evaluated model using metrics like accuracy, precision, and recall

  • Answered by AI
  • Q2. Questions on image processing and computer vision.
Interview experience
4
Good
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
-

I applied via Recruitment Consulltant and was interviewed in Nov 2022. There were 2 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all tips
Round 2 - Technical 

(2 Questions)

  • Q1. Different ML Algorithms
  • Ans. 

    There are various ML algorithms such as linear regression, decision trees, random forests, SVM, KNN, neural networks, etc.

    • Linear regression is used for predicting continuous values

    • Decision trees and random forests are used for classification and regression

    • SVM is used for classification and regression

    • KNN is used for classification and regression

    • Neural networks are used for complex problems such as image recognition and

  • Answered by AI
  • Q2. Python Libraries

Interview Preparation Tips

Topics to prepare for Sutherland Global Services Data Scientist interview:
  • Machine Learning
  • Python
  • SQL

Skills evaluated in this interview

Barclays Global Service Centre Interview FAQs

What are the top questions asked in Barclays Global Service Centre Senior Business Intelligence Analyst interview?

Some of the top questions asked at the Barclays Global Service Centre Senior Business Intelligence Analyst interview -

  1. What is Live Vs Extract in Tableau? What is the file generated during extract a...read more
  2. How to show Top 10 and Bottom 10 Rankings in single Worksh...read more
  3. What are Dashboard Actions and what are the steps to apply Dashboard actio...read more

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