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NCR Voyix Senior Data Analyst Interview Questions and Answers

Updated 8 May 2024

NCR Voyix Senior Data Analyst Interview Experiences

1 interview found

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

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

Round 1 - Technical 

(2 Questions)

  • Q1. Do you know power BI
  • Q2. Yes. I know PowerBI

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Company Website and was interviewed in Dec 2024. There were 3 interview rounds.

Round 1 - Assignment 

Basic self evaluation test.

Round 2 - Technical 

(3 Questions)

  • Q1. What project I have completed and follow-up questions on that?
  • Q2. How to handle class imbalance.
  • Ans. 

    Handling class imbalance involves techniques like resampling, using different algorithms, and adjusting class weights.

    • Use resampling techniques like oversampling or undersampling to balance the classes.

    • Utilize algorithms that are robust to class imbalance, such as Random Forest, XGBoost, or SVM.

    • Adjust class weights in the model to give more importance to minority class.

    • Use evaluation metrics like F1 score, precision, r...

  • Answered by AI
  • Q3. Basic Python coding questions.
Round 3 - Technical 

(2 Questions)

  • Q1. Data-related questions.
  • Q2. ML Ops questions.

Interview Preparation Tips

Topics to prepare for Amdocs Data Scientist interview:
  • Python
  • MLOPS
Interview preparation tips for other job seekers - Prepare your projects well. And be ready for basic python coding questions. Prepare MlOps roles as well.
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

It is nice to do work

Round 2 - Aptitude Test 

It helps in understanding the 5

Round 3 - Coding Test 

It helps a lot in company

Round 4 - Technical 

(5 Questions)

  • Q1. How to do job in company?
  • Q2. What I should do?
  • Q3. How to do work?
  • Q4. What should I do
  • Q5. What is the goal?
  • Ans. 

    The goal of a Data Analyst is to analyze data to extract valuable insights and make data-driven decisions.

    • Identify trends and patterns in data

    • Create visualizations to communicate findings

    • Provide actionable recommendations based on data analysis

  • Answered by AI
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed in Nov 2024. There were 3 interview rounds.

Round 1 - HR 

(1 Question)

  • Q1. Basicn details to check for qualifications
Round 2 - Technical 

(1 Question)

  • Q1. About my projects
Round 3 - Technical 

(1 Question)

  • Q1. More details about ML models
Interview experience
4
Good
Difficulty level
Easy
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - Phonographic interview 

(2 Questions)

  • Q1. Tell me about your self?
  • Q2. What technology & tools u know ? And basic questions regarding that topics ?
Round 2 - Photographic interview 

(2 Questions)

  • Q1. Job culture and job responsibilities ?
  • Q2. Some questions on an analytical tools like power BI ?
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Feb 2024. There were 5 interview rounds.

Round 1 - HR 

(2 Questions)

  • Q1. Self-introduction
  • Q2. What are your roles and responsibilities in current organization
  • Ans. 

    I am responsible for analyzing data, creating reports, and providing insights to support decision-making.

    • Analyze large datasets to identify trends and patterns

    • Create reports and dashboards to visualize data for stakeholders

    • Provide insights and recommendations based on data analysis

    • Collaborate with cross-functional teams to drive data-driven decision-making

  • Answered by AI
Round 2 - One-on-one 

(2 Questions)

  • Q1. Self-introduction
  • Q2. Brief discussion about the roles and responsibilities for current opening
  • Ans. 

    Lead Data Analyst oversees data analysis team, develops strategies, interprets data, and presents insights to stakeholders.

    • Manage and lead a team of data analysts

    • Develop data analysis strategies and methodologies

    • Interpret data and provide actionable insights to stakeholders

    • Collaborate with cross-functional teams to drive data-driven decision making

    • Ensure data quality and accuracy in analysis

    • Stay updated on industry tre

  • Answered by AI
Round 3 - Technical 

(3 Questions)

  • Q1. Self-introduction
  • Q2. Technical round for Python, SQL, Tableau and Advanced Excel
  • Q3. Scenario based questions
Round 4 - One-on-one 

(3 Questions)

  • Q1. Self-Introduction
  • Q2. What do you understand about Sales Comp and its roles and responsibilities
  • Ans. 

    Sales Comp is a system that determines how salespeople are compensated based on their performance.

    • Sales Comp is short for Sales Compensation

    • It involves designing and implementing a system to reward salespeople based on their sales performance

    • Roles include setting sales targets, determining commission structures, and monitoring sales performance

    • Responsibilities include analyzing sales data, calculating commissions, and ...

  • Answered by AI
  • Q3. Scenario based questions
Round 5 - One-on-one 

(2 Questions)

  • Q1. Self-introduction
  • Q2. Scenario based questions

Interview Preparation Tips

Topics to prepare for Salesforce Lead Data Analyst interview:
  • Sales comp
  • Data Analysis
  • Python
  • SQL
  • Tableau
  • Advanced Excel
  • CRM
Interview preparation tips for other job seekers - Before going to interview, first thoroughly read about the roles and responsibilities. Make yourself prepared accordingly.

Ask questions to the interviewer to understand their expectations for the role you are applying for.

Do some research about the company and the pay scale for your roles and put your expectations accordingly.
Interview experience
3
Average
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Referral and was interviewed in Dec 2023. There was 1 interview round.

Round 1 - Technical 

(7 Questions)

  • Q1. Tell me about yourself
  • Q2. Tell me in details about your project. (Mainly the python related project)
  • Q3. Which ML algorithm did you use in your project?
  • Ans. 

    I used the Random Forest algorithm in my project.

    • Random Forest is an ensemble learning method that combines multiple decision trees to make predictions.

    • It is used for both classification and regression tasks.

    • Random Forest reduces overfitting and provides feature importance.

    • Example: I used Random Forest to predict customer churn in a telecom company.

  • Answered by AI
  • Q4. What is Sql? And what is a database?
  • Ans. 

    SQL is a programming language used for managing and manipulating relational databases. A database is a structured collection of data.

    • SQL is used to retrieve, insert, update, and delete data from a database.

    • A database is a software system that stores and organizes data in a structured manner.

    • SQL allows users to define the structure of a database, create tables, and establish relationships between tables.

    • Examples of data

  • Answered by AI
  • Q5. What do you understand by joins in sql?
  • Ans. 

    Joins in SQL are used to combine rows from two or more tables based on a related column between them.

    • Joins are used to retrieve data from multiple tables in a single query.

    • Common types of joins include inner join, left join, right join, and full outer join.

    • Joins are performed using the JOIN keyword and specifying the columns to join on.

    • Joins can be used to combine tables based on matching values or non-matching values.

    • ...

  • Answered by AI
  • Q6. Apply join in the above tables (Table was provided by the interviewer)
  • Q7. How many squares are their in a chess box? (Aptitude question)

Interview Preparation Tips

Topics to prepare for Wolters Kluwer Data Science Intern interview:
  • Python
  • Machine Learning
  • Natural Language Processing
  • MySQL
  • Algorithms
Interview preparation tips for other job seekers - The interview was quite hard for me. If you want to prepare you should have good knowledge about python, pandas, ml and nlp. (Hands on experience is what matters most to clear this interview).

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Referral and was interviewed in Mar 2024. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Basic of python , sql, pandas,niumpy
Round 2 - Technical 

(1 Question)

  • Q1. Gave me a task to make web app for medical condition detection after clearing first round asked questions relted to it
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed in Dec 2023. There was 1 interview round.

Round 1 - Coding Test 

Find the Highest profit by geo

Interview Preparation Tips

Interview preparation tips for other job seekers - Study data
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

I applied via Approached by Company and was interviewed in Aug 2023. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. How can Logistic regression be applied for multiclasstext classification
  • Ans. 

    Logistic regression can be applied for multiclasstext classification by using one-vs-rest or softmax approach.

    • One-vs-rest approach: Train a binary logistic regression model for each class, treating it as the positive class and the rest as the negative class.

    • Softmax approach: Use the softmax function to transform the output of the logistic regression into probabilities for each class.

    • Evaluate the model using appropriate...

  • Answered by AI

Skills evaluated in this interview

NCR Voyix Interview FAQs

How many rounds are there in NCR Voyix Senior Data Analyst interview?
NCR Voyix interview process usually has 1 rounds. The most common rounds in the NCR Voyix interview process are Technical.

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NCR Voyix Senior Data Analyst Interview Process

based on 1 interview

Interview experience

5
  
Excellent
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NCR Voyix Senior Data Analyst Salary
based on 4 salaries
₹5 L/yr - ₹20.9 L/yr
6% less than the average Senior Data Analyst Salary in India
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