Rage Frameworks Data Analyst Interview Questions and Answers

Q1. Tools you have worked on?
Ans. 
I have worked on tools such as Microsoft Excel, Tableau, Jira, and SQL databases.
• Microsoft Excel

• Tableau

• Jira

• SQL databases
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Q2. Salary expectations
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Q1. JIRA, Agile Methodologies, SCRUM, Product management
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Q1. Strengths, weakness, why do you think you are better for this role?
Ans. 
I have strong analytical skills, attention to detail, and excellent communication abilities which make me well-suited for the role of a Business Analyst.
• Strong analytical skills - able to analyze data and identify trends

• Attention to detail - ensuring accuracy in reports and recommendations

• Excellent communication abilities - able to effectively communicate with stakeholders and team members
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Q1. Change management, About myself and the projects I have worked on
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Q1. What are different agile methodologies
Ans. 
Agile methodologies are iterative and flexible approaches to project management.
• Scrum: Focuses on delivering small increments of work in short iterations called sprints.

• Kanban: Visualizes work on a board and limits work in progress to improve flow.

• Extreme Programming (XP): Emphasizes continuous feedback, frequent releases, and close collaboration.

• Lean: Aims to eliminate waste and maximize customer value through continu...read more
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Q2. Difference between BRD and FRD
Ans. 
BRD and FRD are both documents used in the software development process, but they serve different purposes.
• BRD stands for Business Requirements Document and focuses on the business needs and objectives of a project.

• FRD stands for Functional Requirements Document and outlines the specific functionalities and features of a software system.

• BRD is more high-level and describes the 'what' and 'why' of a project, while FRD i...read more
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Q1. Normal question about past experience
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Q2. When you can join and all
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SQL test on Select query, insert, create

Q1. Self introduction
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Q2. Traffic rules
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Q1. Python - find max from array without using built in function
Ans. 
Find max from array in Python without using built-in function.
• Iterate through the array and compare each element with a variable storing the current maximum value.

• If the element is greater than the current maximum, update the variable.

• Return the variable after iterating through the entire array.
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Q2. Spark cluster configuration
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Q3. Python split data interview question
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Verbal ability, logical reasoning, finding relationship, problem on train, Problem on distance and time, find compound interest

Q1. What is your family background?
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Q2. What are your strengths and weaknesses?
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Q3. Tell me about yourself.
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Q4. HR behaviour was very good and helpful
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1st round was Aptitude, which is average difficultly level.

2nd round was Group Discussions, here they only check our communication.

Q1. Techincal Round, here the technical questions about our bachgroud were asked. They will ask questions based on our resume.
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Q2. What is Artificial Intelligence?
Ans. 
Artificial Intelligence is the simulation of human intelligence processes by machines, especially computer systems.
• AI involves machines performing tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.

• Machine learning is a subset of AI that enables machines to learn from data and improve their performance over time.

• Examples of AI applic...read more
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Q3. What is Power BI?
Ans. 
Power BI is a business analytics tool by Microsoft that provides interactive visualizations and business intelligence capabilities.
• Power BI is a data visualization tool used to create interactive reports and dashboards.

• It allows users to connect to various data sources, clean and transform data, and create visually appealing reports.

• Power BI offers a wide range of visualization options such as charts, graphs, maps, and...read more
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Q4. How to load Data in Power BI?
Ans. 
Data can be loaded in Power BI by connecting to various data sources like Excel, SQL databases, online services, etc.
• Connect to data sources by clicking on 'Get Data' in Power BI

• Select the desired data source (e.g. Excel, SQL Server, SharePoint, etc.)

• Choose the specific data tables or queries to import into Power BI

• Transform and clean the data using Power Query Editor if needed

• Load the data into Power BI model for visu
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Q5. Explain about your final year project?
Ans. 
Developed a predictive analytics model for predicting customer churn in a telecom company.
• Used machine learning algorithms like logistic regression and random forest for analysis.

• Performed data preprocessing, feature engineering, and model evaluation.

• Achieved an accuracy of 85% in predicting customer churn.

• Presented findings and recommendations to the telecom company's management team.
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