Peel-works Assistant Manager Interview Questions and Answers

Q1. Introduce Yourself
Ans. 
I am a data analyst with a background in statistics and experience in analyzing large datasets to drive business decisions.
• Graduated with a degree in Statistics

• Proficient in data analysis tools such as Python, R, and SQL

• Experience in creating visualizations to communicate insights

• Strong problem-solving skills
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Q2. Skills you have
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Q1. Technical skills required. Some questions of programming languages are asked.
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Q2. What are the SQL command groups?
Ans. 
SQL command groups are DDL, DML, DCL, and TCL.
• DDL (Data Definition Language) - used to define database schema and structure

• DML (Data Manipulation Language) - used to manipulate data stored in the database

• DCL (Data Control Language) - used to control access to data stored in the database

• TCL (Transaction Control Language) - used to manage transactions in the database

• Examples: CREATE, ALTER, DROP (DDL); SELECT, INSERT, UP...read more
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Q3. Explain Object Oriented Programming in Python?
Ans. 
Object Oriented Programming is a programming paradigm that uses objects to represent real-world entities.
• Python supports OOP concepts such as encapsulation, inheritance, and polymorphism.

• Classes are used to create objects, which have attributes and methods.

• Inheritance allows for the creation of subclasses that inherit properties and methods from a parent class.

• Polymorphism allows for the use of a single method or funct...read more
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Q4. VLookup, Hlookup, Pivot Table in Excel
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You will be asked to share the screen and write the codes as asked.

Good communication skills

Understanding topics

Q1. Why you are good fit the job?
Ans. 
I have a strong background in data analysis, with experience in utilizing various tools and techniques to derive insights from data.
• Extensive experience in data analysis

• Proficient in using tools like SQL, Python, and Tableau

• Strong problem-solving skills

• Ability to communicate complex findings to non-technical stakeholders
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Q2. What is the salary expectation?
Ans. 
Salary expectations are based on experience, skills, location, and industry standards.
• Consider factors like your experience, skills, education, location, and the industry norms when determining your salary expectation.

• Research the average salary range for Data Analysts in your area and industry to have a realistic expectation.

• Be prepared to negotiate based on the job responsibilities and benefits offered by the employe
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Q1. Know about gd&t and application
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Q2. What is your responsibility to current organization
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