Pfizer Data Analyst Interview Questions and Answers

Q1. What is meant by data analyst
Ans. 
A data analyst is a professional who interprets data and uses it to help organizations make informed decisions.
• Data analysts collect, process, and analyze data to uncover insights and trends.

• They use statistical techniques and software tools to interpret data and create reports.

• Data analysts help organizations improve efficiency, solve problems, and make data-driven decisions.

• Examples: analyzing sales data to identify ...read more
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Q1. Excel shortcut keys?
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Q2. WHAT IS THE ROLE OF DATA ANALYST?
Ans. 
Data Analysts are responsible for collecting, processing, and analyzing data to help organizations make informed decisions.
• Collecting and organizing data from various sources

• Cleaning and processing data to ensure accuracy and reliability

• Analyzing data to identify trends, patterns, and insights

• Creating visualizations and reports to communicate findings

• Providing recommendations based on data analysis

• Collaborating with st...read more
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Q3. What are the skills need for data analyst?
Ans. 
Skills needed for data analyst include strong analytical skills, proficiency in data analysis tools, programming knowledge, and communication skills.
• Strong analytical skills to interpret complex data sets

• Proficiency in data analysis tools such as Excel, SQL, Python, R, etc.

• Programming knowledge to manipulate and analyze data effectively

• Communication skills to present findings and insights to stakeholders
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Complete discuss about college project

Q1. Questions related to Data analytics and SharePoint for my role.
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Q2. Previous projects and their solutions.
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Q3. Tool used in previous company. (SharePoint, Power BI, Nintex, InfoPath, Power Apps, Workflows)
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Q1. Related to professional life and assurance to work.
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Q1. Salary details and candidature check.
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Q1. Introduce yourself
Ans. 
I am a data scientist with a background in statistics and machine learning, passionate about solving complex problems using data-driven approaches.
• Background in statistics and machine learning

• Experience in data analysis and visualization

• Strong programming skills in languages like Python and R

• Ability to work with large datasets and extract meaningful insights

• Excellent communication and problem-solving skills
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Q2. Where do you see yourself in 5 years
Ans. 
In 5 years, I see myself leading a team of data scientists, working on cutting-edge projects, and making significant contributions to the field.
• Leading a team of data scientists

• Working on cutting-edge projects

• Making significant contributions to the field
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Q1. Share details of your previous job.
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Q2. Why are you looking for a change?
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Q3. Tell me about yourself.
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House price prediction

Q1. About data, data science and Pharma domain
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Q1. Tell me about all your Candidature Background.
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Q1. Salary Negotiation
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