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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
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Interview questions from similar companies
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 Referral and was interviewed in Oct 2021. There were 2 interview rounds.
Good
(2 Questions)
- Q1. Tell me about yourself.
- Q2. What are your strength and weaknesses?
Interview Preparation Tips
I appeared for an interview in Jul 2017.
Interview Questionnaire
3 Questions
- Q1. Tell me about yourself?
- Ans.
I am a data analyst with a strong background in statistics and programming.
I have a Bachelor's degree in Statistics and have completed several courses in programming languages like Python and SQL.
I have experience working with large datasets and conducting data analysis using statistical techniques.
I am proficient in data visualization tools like Tableau and have created interactive dashboards to present insights.
I hav...
- Q2. Why this company?
- Ans.
I am interested in this company because of its strong reputation in the data analytics industry and its commitment to innovation.
The company has a proven track record of success in the data analytics industry.
It has a strong reputation for delivering high-quality insights and solutions.
The company values innovation and encourages employees to think creatively.
There are opportunities for professional growth and developm...
- Q3. Why do you want to make a career in this field inspite being an engineer?
- Ans.
I am passionate about using data to solve complex problems and make informed decisions.
Data analysis allows me to apply my analytical skills and engineering background to extract valuable insights from data.
I enjoy working with numbers, statistics, and programming, which are all essential skills in the field of data analysis.
Data analysis offers a wide range of opportunities to work on diverse projects and industries, ...
Interview Preparation Tips
Experience: The written test consists of 2 sections. First section is of verbal reasoning which is very easy. And second section consists of data interpretation, quant questions.
Tips: Speed and accuracy are important in this test. Daily practicing of aptitude can get you through the exam.
Duration: 45 minutes
Total Questions: 40
Round: Technical + HR Interview
Experience: After entering the interview room, the first question asked to me was "Walk me through your CV ".After that, I was asked some puzzle questions, one math question and a case study question which was bit difficult. The interviewer was trying to make me stressed by picking one of my strengths and saying that he considers it as my weakness. He was not convinced with whatever I said but in order to overcome above stress be clam and cool. Say what you know without hesitation, be strong, and be yourself. Last but not the least, don't bluff because he will eventually figure it out, even if you bluff say it convincingly.
Tips: Be perfect about what you have written in your CV and just be yourself.
Round: HR Interview
Experience: HR round was very cool . Actually the panel was friendly with me. They asked some common HR questions. That's it about this round.
Tips: Be fluent and develop good communication skills.
College Name: NIT Bhopal
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 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
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 Sep 2024, where I was asked the following questions.
- Q1. Can you provide information about yourself?
- Ans.
Data analyst with a passion for transforming data into actionable insights, skilled in statistical analysis and data visualization.
Educational background in Statistics and Data Science, with a degree from XYZ University.
Experience working with SQL and Python for data manipulation and analysis.
Proficient in data visualization tools like Tableau and Power BI, creating dashboards that drive business decisions.
Worked on a ...
- Q2. What is your understanding of Environmental, Social, and Governance (ESG) criteria?
- Ans.
ESG criteria evaluate a company's ethical impact and sustainability practices across environmental, social, and governance dimensions.
Environmental: Assesses a company's impact on the planet, e.g., carbon emissions reduction initiatives.
Social: Evaluates relationships with stakeholders, e.g., diversity and inclusion programs in the workplace.
Governance: Focuses on corporate governance practices, e.g., board diversity a
Selected
I applied via Naukri.com and was interviewed before May 2023. There was 1 interview round.
(1 Question)
- Q1. SQL questions mostly around CTE
Interview Preparation Tips
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Kantar Operations Data Analyst Reviews and Ratings
based on 6 reviews
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