Niva Bupa Health Insurance Company Data Analyst Interview Questions and Answers

Q1. Tell me about yourself.
Ans. 
I am a dedicated and detail-oriented business analyst with a strong background in data analysis and problem-solving.
• I have a Bachelor's degree in Business Administration

• I have 5 years of experience in analyzing business processes and identifying areas for improvement

• I am proficient in using data analysis tools such as Excel and SQL

• I have a proven track record of delivering actionable insights to drive business growth
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Q2. What are your reasons for wanting to change your current situation?
Ans. 
I am seeking new challenges and opportunities for growth in my career.
• Seeking new challenges to continue learning and developing skills

• Looking for opportunities for career advancement

• Interested in working in a different industry or with a different team
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Q3. Are you comfortable working in an office environment?
Ans. 
Yes, I am comfortable working in an office environment.
• I have experience working in office environments in my previous roles.

• I am familiar with office protocols and procedures.

• I am comfortable using office software and technology.

• I enjoy collaborating with colleagues in an office setting.
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Q1. What was your previous job role, and what challenges did you face in that position?
Ans. 
I was previously a Business Analyst at a software company.
• Analyzed market trends and competitor data to make strategic recommendations

• Facilitated communication between stakeholders to ensure project alignment

• Developed and implemented data-driven solutions to improve business processes
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Q2. About yourself
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It was moderate level questions

It depends on your group and the topic of discussion

Q1. Why should we hire you?
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Q2. Tell me about yourself.
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Statistics Questions

Q1. Assumptions of Machine Learning
Ans. 
Assumptions of Machine Learning include data availability, feature relevance, and model interpretability.
• Data availability is crucial for training machine learning models.

• Assumptions about the relevance of features in the data must be made.

• Model interpretability is important for understanding the decisions made by the machine learning model.
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Q1. Previous work discussion
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Q2. Relevant work experience
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Q3. Tools knowledge
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Q1. What is your current job profile
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Puzzles
Basic machine learning
Resume project related questions

One case related to insurance
Stress round
Adv ML

Q1. Normal Hr questions
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