NielsenIQ Senior Analyst Interview Questions, Process, and Tips

Q1. 5 steps revenue recognition model
Ans. 
The 5 steps revenue recognition model outlines the process for recognizing revenue from contracts with customers.
• Identify the contract with the customer

• Identify the performance obligations in the contract

• Determine the transaction price

• Allocate the transaction price to the performance obligations

• Recognize revenue as the performance obligations are satisfied
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Q2. What are the key components of SOPs?
Ans. 
Key components of SOPs include purpose, scope, responsibilities, procedures, and revisions.
• Purpose: Clearly defined objective or goal of the SOP.

• Scope: Specific areas or processes that the SOP applies to.

• Responsibilities: Roles and duties of individuals involved in following the SOP.

• Procedures: Step-by-step instructions on how to carry out tasks or processes.

• Revisions: Process for updating and maintaining the SOP to re...read more
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Q1. What is materiality?
Ans. 
Materiality refers to the significance or importance of information in relation to a decision or financial statement.
• Materiality is a concept used in accounting and auditing to determine the relevance of information to users of financial statements.

• It involves assessing whether the information could influence the decisions of users, such as investors or creditors.

• Materiality is subjective and depends on factors like th...read more
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Q2. What is segment reporting?
Ans. 
Segment reporting is the practice of breaking down a company's financial information into different business segments.
• Segment reporting helps investors and analysts understand the performance of different parts of a company.

• Companies typically report segment information based on factors such as geography, product lines, or customer types.

• Segment reporting is required by accounting standards to provide transparency and ...read more
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Formal aptitude with basic maths and some reasoning questions

Q1. Tell about yourself, and previous roles and career ambition
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Q1. How to iterate effectively in dataset . What projects have you worked on.
Ans. 
Iterating effectively in a dataset involves understanding the data structure, setting clear objectives, using appropriate tools, and analyzing results.
• Understand the data structure and variables before starting the iteration process.

• Set clear objectives and define the criteria for success to guide the iteration.

• Use appropriate tools such as programming languages or statistical software to efficiently iterate through th...read more
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