Eurofins It Solutions Senior Business Analyst Interview Questions and Answers

Q1. About business analyst scenario
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Q1. About business analyst scenario
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Q1. Basics of Business analysis role
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Q2. Technical tools
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Q1. Advance project management
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Q1. Overall background and compensation negotiation
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Q1. 1. Tell about your current project flow 2. About SDLC 3. About AGILE 4. SQL basics 5. Mostly questions will come from the project what was explained
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Q1. Tell me about yourself.
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Q2. What are your strengths and weaknesses?
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Q3. What are your salary expectations?
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Q4. Share details of your previous job.
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Q5. Why are you looking for a change?
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Q1. Resume based questions and small caselets
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Case study given during interview and we need to solve it - role play kind of

Similar to round 3 - case study during interview - role play kindof

Q1. Questions on social issues and leadership traits
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Q1. Tell me about yourself?
Ans. 
Experienced business analyst with a background in data analysis and process improvement.
• Over 5 years of experience in analyzing business processes and identifying areas for improvement

• Skilled in data analysis tools such as Excel, SQL, and Tableau

• Strong communication skills to collaborate with stakeholders and present findings

• Certified in Business Analysis Professional (CBAP)

• Previously led a project to streamline invent...read more
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Q2. Previous experience?
Ans. 
I have 5 years of experience as a Business Analyst in the finance industry.
• Worked on various projects to analyze financial data and provide insights for decision-making

• Collaborated with cross-functional teams to gather requirements and create business solutions

• Utilized data visualization tools such as Tableau to present findings to stakeholders
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Q1. Know about the Python, BI tools
Ans. Study about BI tools, usage of Python
Answered Anonymously
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The aptitude test comprised both coding as well as aptitude questions but most of them were purely aptitude based.

Q1. What is machine learning in layman's language?
Ans. 
Machine learning is teaching computers to learn and improve from experience without being explicitly programmed.
• Machine learning is a subset of artificial intelligence.

• It involves training algorithms to recognize patterns in data.

• The algorithms then use these patterns to make predictions or decisions.

• Examples include image recognition, speech recognition, and recommendation systems.

• Machine learning requires large amoun...read more
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Q2. What is the research methodology?
Ans. 
Research methodology is a systematic approach to conducting research, including the collection and analysis of data.
• Research methodology involves identifying a research problem, developing a research plan, collecting data, analyzing data, and drawing conclusions.

• There are different types of research methodologies, including qualitative, quantitative, and mixed methods.

• Qualitative research involves collecting non-numeri...read more
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Q3. What is the difference between Machine Learning , Artificial Intelligence and Statistics?
Ans. 
Machine learning is a subset of AI that uses statistical techniques to enable machines to learn from data and improve performance.
• Artificial Intelligence is the broader concept of machines being able to carry out tasks in a way that we would consider smart.

• Statistics is the study of the collection, analysis, interpretation, presentation, and organization of data.

• Machine learning is a subset of AI that uses statistical ...read more
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Q1. In this Managerial round , resume-based questions were asked.
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Q1. Salary negotiation was carried out
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