MGB Data Analyst Interview Questions and Answers

Q1. Tell me about your strengths & weakness.
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Q1. Tell me about yourself
Ans. 
I am a dedicated and detail-oriented analyst with a strong background in data analysis and problem-solving.
• I have a Bachelor's degree in Statistics and experience in analyzing large datasets

• I am proficient in using statistical software such as R and Python

• I have a proven track record of identifying trends and providing actionable insights to drive business decisions
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Q2. Explain your daily work
Ans. 
As an Analyst, my daily work involves collecting and analyzing data to provide insights and recommendations for decision-making.
• Reviewing and organizing data from various sources

• Conducting statistical analysis to identify trends and patterns

• Creating reports and presentations to communicate findings

• Collaborating with team members to interpret results and make recommendations
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Q1. Tell me about yourself
Ans. 
I am a dedicated and detail-oriented analyst with a strong background in data analysis and problem-solving.
• I have a Bachelor's degree in Statistics and experience working with large datasets

• I am proficient in statistical software such as R and Python

• I have a proven track record of delivering actionable insights to drive business decisions
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Q2. Why do you want to change
Ans. 
Seeking new challenges and growth opportunities
• Looking for a new challenge to expand my skills and knowledge

• Interested in exploring different industries or sectors

• Seeking opportunities for career advancement or higher salary

• Want to work in a more collaborative or innovative environment
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Q1. Explain about some of visualization tools
Ans. 
Visualization tools are software applications used to create graphical representations of data for easier understanding and analysis.
• Popular visualization tools include Tableau, Power BI, and Google Data Studio.

• These tools allow users to create interactive charts, graphs, and dashboards.

• They support various data sources and formats, making it easy to import and visualize data.

• Visualization tools help in identifying pat...read more
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Mettle test and mcq were given in interview

Q1. Tell us data science project where you developed a script for forecastings, KNN, Data science models with practical examples.
Ans. 
Developed a script for forecasting using KNN and data science models.
• Developed a script using Python to forecast sales for a retail company using KNN algorithm.

• Built a data science model to predict customer churn for a telecom company using logistic regression.

• Used time series analysis to forecast stock prices for a financial services company.

• Developed a script to predict the likelihood of a customer defaulting on a lo...read more
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Q2. 1. Why you are asking this role is for Data analyst or data scientist? 2. Don't go for the provided JD and do you think you are well aware of Data science concepts and models, algorithms etc.
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The test will be conducted in a interview process

Group discussion is a communicate in a people

Q1. Hr face to face commutation
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Q2. Self introduction and
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Q1. It is the individual interview
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Q2. Personal questions only
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