ICRA Senior Analyst Interview Questions and Answers

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Q1. Ono on one round with operations manager
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Q2. Basic question related to current organisation structure and job role
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Q1. Ono on one round with VP of the project
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Q2. In depth discussion about current process and detailed discussion of present job role and responsibilities
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Q1. API related questions
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Q2. Soap, rest api details
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Q3. XML, Json related questions
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Q4. Prioritisation based questions
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Q5. Case study related questions
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Q1. Explain Data types in SQL?
Ans. 
Data types in SQL define the type of data that can be stored in a column of a table.
• Data types include integer, float, text, date, boolean, etc.

• Each data type has specific properties and constraints.

• Examples: INT for integers, VARCHAR for variable-length character strings.
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Q2. Explain the difference between DBMS and RDBMS?
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DBMS is a software system that manages databases, while RDBMS is a type of DBMS that stores data in a structured format using tables.
• DBMS stands for Database Management System, which is a software system that allows users to interact with a database.

• RDBMS stands for Relational Database Management System, which is a type of DBMS that stores data in a structured format using tables with relationships between them.

• RDBMS e...read more
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Q1. What do data analysts do? A data analyst collects, cleans,
Ans. 
Data analysts collect, clean, analyze, and interpret data to help organizations make informed decisions.
• Collect data from various sources

• Clean and organize data to ensure accuracy and consistency

• Analyze data using statistical techniques and tools

• Interpret data to identify trends, patterns, and insights

• Present findings and recommendations to stakeholders

• Use data visualization tools to communicate results effectively
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Q2. Market research
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Q3. What are your strengths?
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Q1. What do data analysts do? A data analyst collects, cleans,
Ans. 
Data analysts collect, clean, analyze, and interpret data to help organizations make informed decisions.
• Collect data from various sources

• Clean and organize data to ensure accuracy and consistency

• Analyze data using statistical techniques and software tools

• Interpret data to identify trends, patterns, and insights

• Present findings to stakeholders in a clear and understandable manner
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Q2. Market research
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Q1. Why data analysis and data science
Ans. 
Data analysis and data science are crucial for extracting valuable insights from large datasets to drive informed decision-making.
• Data analysis and data science help in uncovering patterns and trends within data.

• They enable businesses to make data-driven decisions for improved efficiency and effectiveness.

• These fields also play a vital role in predictive analytics and forecasting.

• Examples include using machine learning...read more
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Q2. Why pgdm in business analytics
Ans. 
PGDM in Business Analytics provides specialized knowledge and skills for analyzing data to drive business decisions.
• Specialized curriculum focusing on data analysis techniques and tools

• Hands-on experience with real-world data sets

• Opportunities for networking with industry professionals

• Career advancement in the field of business analytics
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Accounting related
Journal entry

Q1. Related to your assignment
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Q1. Reason for the change
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