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Kantar Operations Data Analyst Interview Questions and Answers
Kantar Operations Data Analyst Interview Experiences
1 interview found
Anonymous
I applied via Approached by Company and was interviewed before Feb 2021. There were 3 interview rounds.
(1 Question)
- Q1. Learn Hash and Heap Concepts SQL Basics Basics of C programming (not deep) HTML Concepts Data Structures What is Data Analysis? How can you clean the data? Excel basics ( If not no worries) Queue and E...
(1 Question)
- Q1. Will you reallocate to Bangalore or any base locations? Are you interested to join the company?
- Ans.
Yes, I am open to reallocate to Bangalore or any base locations.
I am willing to relocate to Bangalore or any other base locations as required by the company.
I understand the importance of being flexible and adaptable in order to pursue career opportunities.
I am excited about the prospect of joining the company and contributing to its success.
Interview Preparation Tips
Pray God ..Stay positive
Interviewer can make you comfortable in Kantar ..If you are not aware say I will answer this in next time...Mostly focus on Data Structures and Cleaning of Data concepts like what are the steps to clean data
They might also ask can Excel be automated? Answer is yes
Stay confident...You will come with flying colors
Interview questions from similar companies
I appeared for an interview 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 Walk-in and was interviewed before Jun 2021. There were 2 interview rounds.
(1 Question)
- Q1. What is EPS? Why balance sheet always match?
- Ans.
EPS stands for Earnings Per Share. Balance sheet always matches due to the fundamental accounting equation.
EPS is a financial metric that measures the profit earned by a company per outstanding share of common stock.
It is calculated by dividing the net income of the company by the total number of outstanding shares.
Balance sheet always matches because of the fundamental accounting equation which states that assets must...
(1 Question)
- Q1. What is depreciation and amortization?
- Ans.
Depreciation and amortization are accounting methods used to allocate the cost of assets over their useful lives.
Depreciation is the allocation of the cost of tangible assets, such as buildings or equipment, over their useful lives.
Amortization is the allocation of the cost of intangible assets, such as patents or copyrights, over their useful lives.
Both depreciation and amortization are non-cash expenses that reduce t...
Interview Preparation Tips
- Accounting principles
I applied via Naukri.com
Interview Questionnaire
1 Question
- Q1. About education qualification. Experience, knowledge about the position.
Interview Preparation Tips
I applied via Company Website and was interviewed in Apr 2022. There were 2 interview rounds.
Improve your skills
Interview Preparation Tips
I appeared for an interview in Apr 2021.
Round duration - 120 Minutes
Round difficulty - Easy
After the resume shortlisting, we were given a test link which needs to be done within 24 hours after getting it.
There were questions from Aptitude , Machine Learning, Probability , Excel and SQL
Round duration - 120 Minutes
Round difficulty - Easy
(1 Question)
Round duration - 45 Minutes
Round difficulty - Medium
We were asked to explain the Tableau Dashboard in detail. Some additional questions were also asked from Tableau. ML and Deep Learning questions were also asked along with a standard gfg puzzle.
- Q1. What questions were you asked regarding Machine Learning, specifically in exploratory data analysis, the basics of deep learning, and can you describe the puzzle that was presented?
Round duration - 30 Minutes
Round difficulty - Easy
One business case study was asked.
Round duration - 20 minutes
Round difficulty - Easy
Standard HR questions were asked.
Interview Preparation Tips
Tip 1 : We need to be clear with basics of differentiation calculus and probability to get a good understanding of ML algorithms.
Tip 2 : Also, we tend to ignore statistics , but statistics should not be skipped at any cost.
Tip 3 : There should be atleast 2-3 good ML projects for which you are fully confident. You can have one project for topics like supervised learning , unsupervised learning, recommendation systems and if possible deep learning project can also be included.
Tip 4 : You should be fair enough with any one visualisation tool like Tableau, Power BI etc.
Tip 5 : Practice as much as you can from kaggle
Tip 1 : Needs to have atleast 2 ML projects.
Tip 2 : Things like Excel, SQL , and Tableau should be mentioned in the resume.
Tip 3 : Certifications for ML and Excel, SQL and Tableau will help you getting shortlisted.
Tip 4 : And last but not the least, any false thing should not be included if you are not at all aware of it.
Skills evaluated in this interview
I appeared for an interview in Apr 2021.
Round duration - 120 minutes
Round difficulty - Easy
After the resume shortlisting, we were given a test link which needs to be done within 24 hours after getting it.
There were questions from Aptitude , Machine Learning, Probability , Excel and SQL
(1 Question)
Round duration - 45 Minutes
Round difficulty - Medium
We were asked to explain the Tableau Dashboard in detail. Some additional questions were also asked from Tableau. ML and Deep Learning questions were also asked along with a standard gfg puzzle.
- Q1. What questions were you asked regarding Machine Learning, specifically in exploratory data analysis, the basics of deep learning, and can you describe the puzzle that was presented?
Round duration - 30 Minutes
Round difficulty - Easy
One business case study was asked.
Round duration - 20 minutes
Round difficulty - Easy
Standard HR questions were asked.
Interview Preparation Tips
Tip 1 : We need to be clear with basics of differentiation calculus and probability to get a good understanding of ML algorithms.
Tip 2 : Also, we tend to ignore statistics , but statistics should not be skipped at any cost.
Tip 3 : There should be atleast 2-3 good ML projects for which you are fully confident. You can have one project for topics like supervised learning , unsupervised learning, recommendation systems and if possible deep learning project can also be included.
Tip 4 : You should be fair enough with any one visualisation tool like Tableau, Power BI etc.
Tip 5 : Practice as much as you can from kaggle
Tip 1 : Needs to have atleast 2 ML projects.
Tip 2 : Things like Excel, SQL , and Tableau should be mentioned in the resume.
Tip 3 : Certifications for ML and Excel, SQL and Tableau will help you getting shortlisted.
Tip 4 : And last but not the least, any false thing should not be included if you are not at all aware of it.
Skills evaluated in this interview
Number of questions were asked over given dataset
(1 Question)
- Q1. Discussion over the earlier projects, some python and SQL questions.
(1 Question)
- Q1. Managerial round , discussion over data analytics and real world data analysis problems
(1 Question)
- Q1. About background ,yourself,why changing job,family and salary negotiations
Interview Preparation Tips
I applied via Recruitment Consulltant and was interviewed in Feb 2022. There was 1 interview round.
(1 Question)
- Q1. Self Introduction, Previous work process and technical questions based on your applied role
Interview Preparation Tips
- Python
- SQL
- Data Analysis
Analysing the company's document and finding out the answer which will be given in choose
(2 Questions)
- Q1. Details of ESG(Environmental, social and governance)
- Ans.
ESG stands for Environmental, Social and Governance. It is a set of criteria used to evaluate a company's performance in these areas.
Environmental criteria include a company's impact on the environment, such as its carbon footprint and use of renewable energy.
Social criteria include a company's relationships with its employees, customers, and communities, as well as its impact on human rights.
Governance criteria includ...
- Q2. What is mean by renewable and non renewable energy
- Ans.
Renewable energy is derived from natural resources that can be replenished, while non-renewable energy is finite and cannot be replenished.
Renewable energy sources include solar, wind, hydro, geothermal, and biomass
Non-renewable energy sources include fossil fuels like coal, oil, and natural gas
Renewable energy is considered more sustainable and environmentally friendly
Non-renewable energy sources are finite and will e...
Interview Preparation Tips
Kantar Operations Interview FAQs
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based on 6 reviews
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