Pramata Knowledge Solutions Data Associate Interview Questions and Answers for Experienced

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Q1. Why do you want to work here?
Ans. 
I am passionate about the company's mission and values, and I believe my skills and experience align well with the opportunities here.
• Passionate about company's mission and values

• Skills and experience align well with opportunities

• Excited about potential for growth and development
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Q2. What are you passionate about that made you apply for this job?
Ans. 
I am passionate about using data analysis to drive business decisions and improve processes.
• I have always been fascinated by the power of data to uncover insights and drive strategic decision-making.

• I enjoy working with large datasets and using statistical tools to extract meaningful information.

• I believe that data-driven decision-making is crucial for businesses to stay competitive in today's market.

• For example, in my...read more
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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. Everything in your resume.
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Q1. What are your strengths and weaknesses?
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Q2. Tell me about yourself.
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Q1. Share your past work experience.
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Q1. What is research?
Ans. 
Research is the systematic investigation of a subject to discover new knowledge or validate existing theories.
• Research involves a systematic and organized approach to gather information and analyze data.

• It aims to answer specific questions or solve problems by using various methods and techniques.

• Research can be conducted in various fields such as science, social sciences, business, and technology.

• Examples of research ...read more
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Q1. What is secondary research
Ans. 
Secondary research involves gathering information from existing sources such as books, articles, and reports.
• Secondary research is the process of collecting and analyzing data that has already been published or gathered by others.

• It is used to gain a better understanding of a topic, validate primary research findings, or gather historical data.

• Examples of secondary research sources include academic journals, government
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Q2. What have u done in your internship
Ans. 
I worked on data analysis projects, conducted market research, and created reports for senior management.
• Conducted data analysis on customer feedback surveys

• Assisted in creating financial models to analyze company performance

• Researched market trends and competitor analysis

• Prepared presentations and reports for senior management meetings
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Q3. PEP relevant questions
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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.