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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.
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...
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
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..
What people are saying about NielsenIQ
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
NielsenIQ interview questions for designations
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
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
I applied via Recruitment Consulltant and was interviewed in Nov 2024. There were 2 interview rounds.
I have a background in data analysis with experience in using tools like Python, SQL, and Tableau.
I have a degree in Statistics and have worked as a Data Analyst for 3 years.
My daily activities include cleaning and analyzing data, creating visualizations, and presenting insights to stakeholders.
I use Python for data manipulation and analysis, SQL for querying databases, and Tableau for creating interactive dashboards.
I...
Advanced Excel and Power BI are tools used for data analysis and visualization in companies and for clients.
Advanced Excel allows for complex data manipulation, analysis, and visualization using features like pivot tables, macros, and VBA programming.
Power BI is a business analytics tool that provides interactive visualizations and business intelligence capabilities, connecting to various data sources.
These tools are u...
I have extensive experience in using Advanced Excel and Power BI for data analysis projects.
Created complex formulas and macros in Excel to automate data processing tasks
Designed interactive dashboards in Power BI to visualize and analyze data trends
Integrated data from multiple sources into Power BI for comprehensive analysis
Used Power Query and Power Pivot in Excel to manipulate and analyze large datasets
Provided dat...
Credit and operations concepts in relation to KYC procedures and client data privacy.
Credit refers to the extension of money or resources to a client based on their financial history and ability to repay.
Operations involve the day-to-day processes and procedures within a financial institution to ensure smooth functioning.
KYC procedures are used to verify the identity of clients to prevent fraud and money laundering.
Pri...
Sql python bigdata hadoop hive spark
1 hour simple coding python sql
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...
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...
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...
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...
Interview experience
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Data Processing Analyst
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| ₹3 L/yr - ₹5 L/yr |
Data Analyst
429
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| ₹2.2 L/yr - ₹5.5 L/yr |
Data Processing Specialist
319
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Software Engineer
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Research Associate
179
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| ₹2.9 L/yr - ₹5.8 L/yr |
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