FIS Lead Business Analyst Interview Questions and Answers

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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Marketing campaign case study

Aptitude Test + Mini Case

12 Problems based on Excel data

Q1. Power Day: 2 Case Interviews + 1 Product Interview
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Q1. About the work experience
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Q1. How would you copy a large dataset
Ans. 
Use a data migration tool to copy the dataset efficiently.
• Utilize a data migration tool like AWS Data Pipeline, Apache Nifi, or Talend to copy the dataset.

• Break down the dataset into smaller chunks to avoid overwhelming the system.

• Ensure proper data validation and error handling during the copying process.

• Consider using parallel processing to speed up the copying process.

• Monitor the progress of the dataset copying to t
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Q2. Do you think data analysis job is overrated?
Ans. 
No, data analysis job is not overrated as it plays a crucial role in decision-making and problem-solving.
• Data analysis helps in identifying trends and patterns in data

• It provides valuable insights for businesses to make informed decisions

• Data analysis is essential for optimizing processes and improving efficiency

• It can uncover hidden opportunities and potential risks

• Many industries rely on data analysis for strategic p
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Q1. Exp , previous experience
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Q1. Exp no direct , previous sales experience
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Q1. Experience precious sales experience marketing
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