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NielsenIQ Data Analyst Interview Questions and Answers
NielsenIQ Data Analyst Interview Experiences
7 interviews found
Anonymous
I applied via Walk-in and was interviewed in Jan 2024. There were 3 interview rounds.
Very easy to answer the question
Interaction among the fellow mates seems to be nice
(2 Questions)
- Q1. Self introduction
- Q2. From the self introduction
I applied via Referral and was interviewed in Jul 2022. There were 3 interview rounds.
I done very well. Attended all the questions..
The discussion went really nice, we shared our thoughts on the topic which was given by HR..
(3 Questions)
- Q1. Your problem solving skills
- Q2. Tell me one of your team experience
- Q3. What do you know about your company and this job?
Interview Preparation Tips
Sriram Sivakumar
Selected
I applied via Company Website and was interviewed before May 2023. There were 3 interview rounds.
Easy to crack the first level
General topics only, confidence important
(1 Question)
- Q1. About company, role and self questions
Selected
I applied via LinkedIn and was interviewed before May 2023. There were 2 interview rounds.
There was group discussion about data analitics in current world
It was basic aptitude test
NielsenIQ interview questions for designations
(1 Question)
- Q1. What are your Long term goal
Interview Preparation Tips
Selected
I applied via Company Website and was interviewed before Feb 2022. There were 4 interview rounds.
It was all basics aptitude
The topics are IOS vs android..it was given at the spot
(1 Question)
- Q1. This was the final round
Robin Panda
I was interviewed in Sep 2021.
It was basic test with basic aptitude questions.
Online case study was given on excels. Limited time was alloted.
(1 Question)
- Q1. How many cups of tea is consumed in Delhi for a week?
- Ans.
It is impossible to accurately determine the number of cups of tea consumed in Delhi for a week without proper data.
There is no official data available on the exact number of cups of tea consumed in Delhi for a week.
The number of cups of tea consumed in Delhi for a week varies depending on various factors such as weather, season, and individual preferences.
It is estimated that Delhi consumes a significant amount of tea...
Interview Preparation Tips
Interview questions from similar companies
Selected
I applied via Recruitment Consulltant and was interviewed in Nov 2024. There were 2 interview rounds.
(2 Questions)
- Q1. Can you provide an overview of your background, including your past experiences and daily activities, as well as the tools you use in your routine?
- Q2. What are the concepts of advanced Excel and Power BI projects, and how are they utilized within a company or for clients?
(2 Questions)
- Q1. Can you explain your project experience related to Advanced Excel and Power BI?
- Q2. What are the concepts of credit and operations, particularly in relation to Know Your Customer (KYC) procedures and the privacy of client data?
Interview Preparation Tips
Sql python bigdata hadoop hive spark
1 hour simple coding python sql
(5 Questions)
- Q1. Advantages of sql
- Ans.
SQL allows for efficient data retrieval, manipulation, and analysis in relational databases.
SQL is widely used in querying databases to retrieve specific data.
It allows for data manipulation, such as adding, updating, and deleting records.
SQL can perform complex data analysis tasks, such as aggregations and joins.
It provides a standardized language for interacting with relational databases.
SQL is essential for generati...
- Q2. Advantages of python
- Ans.
Python is a versatile programming language known for its simplicity, readability, and vast library support.
Easy to learn and use, making it ideal for beginners and experienced programmers alike
Extensive library support for data analysis, machine learning, web development, and more
Strong community support with active forums and resources for problem-solving
Cross-platform compatibility allows for seamless integration wit...
- Q3. Spark and its benefits
- Ans.
Spark is a fast and powerful big data processing framework that offers benefits like speed, ease of use, and versatility.
Spark is known for its speed, as it can process data up to 100 times faster than traditional Hadoop MapReduce.
It offers ease of use with high-level APIs in Java, Scala, Python, and SQL, making it accessible to a wide range of users.
Spark is versatile, supporting various workloads such as batch proces...
- Q4. Why to leave the company
- Q5. Huddles of data engineer
- Ans.
Huddles of data engineers refer to collaborative meetings or discussions among data engineers to share insights, solve problems, and make decisions.
Huddles are typically informal and can be scheduled or ad-hoc.
They provide a platform for data engineers to brainstorm, troubleshoot, and exchange ideas.
Huddles may involve reviewing code, discussing data pipelines, or addressing technical challenges.
Effective huddles promo...
Skills evaluated in this interview
(2 Questions)
- Q1. What is the importance of data analysis?
- Ans.
Data analysis is crucial for making informed decisions, identifying trends, and solving complex problems.
Helps in making informed decisions based on data-driven insights
Identifies trends and patterns that can lead to strategic business decisions
Aids in solving complex problems by analyzing data to find root causes
Improves efficiency and effectiveness of processes through data-driven optimizations
- Q2. What steps should be taken to become a data analyst?
- Ans.
To become a data analyst, one should focus on acquiring relevant education, gaining experience with data analysis tools, and developing strong analytical and problem-solving skills.
Obtain a degree in a related field such as statistics, mathematics, computer science, or data science.
Gain experience with data analysis tools such as SQL, Python, R, and Excel.
Develop strong analytical and problem-solving skills by working ...
NielsenIQ Interview FAQs
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NielsenIQ Interviews By Designations
- NielsenIQ Data Processing Analyst Interview Questions
- NielsenIQ Data Processing Specialist Interview Questions
- NielsenIQ Software Engineer Interview Questions
- NielsenIQ Data Analyst Interview Questions
- NielsenIQ Research Associate Interview Questions
- NielsenIQ Data Scientist Interview Questions
- NielsenIQ Engineer Interview Questions
- NielsenIQ Research Analyst Interview Questions
- Show more
NielsenIQ Data Analyst Interview Process
based on 8 interviews
2 Interview rounds
- Aptitude Test Round - 1
- Aptitude Test Round - 2
Data Analyst Interview Questions from Similar Companies
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NielsenIQ Data Analyst Reviews and Ratings
based on 43 reviews
Rating in categories
|
Data Processing Analyst
776
salaries
|  ₹3 L/yr - ₹4.8 L/yr |
|
Data Analyst
455
salaries
| ₹2.8 L/yr - ₹6.6 L/yr |
|
Data Processing Specialist
323
salaries
| ₹3 L/yr - ₹4.5 L/yr |
|
Software Engineer
239
salaries
| ₹8 L/yr - ₹21 L/yr |
|
Research Associate
175
salaries
| ₹2.9 L/yr - ₹5 L/yr |
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