Unisys Business Analyst Interview Questions and Answers

Q1. Screening round - telephonic interview
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Q1. Technical round - Domain specific questions
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Q1. Project Overview and Previous Work Experience related questions
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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

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

• Strong communication skills and ability to work with cross-functional teams

• Certified in Business Analysis Professional (CBAP)

• Previously led a project to streamline inventory...read more
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Q2. Which projects u have worked
Ans. 
I have worked on various projects including system implementation, process improvement, and data analysis.
• Implemented a new CRM system to streamline customer interactions

• Led a team to improve inventory management processes resulting in cost savings

• Conducted data analysis to identify trends and make recommendations for business growth
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Q1. Tell me about yourself
Ans. 
I am a detail-oriented business analyst with a strong background in data analysis and problem-solving.
• Experienced in gathering and analyzing business requirements

• Skilled in creating data models and visualizations

• Proficient in using tools like SQL, Excel, and Tableau

• Strong communication and presentation skills

• Ability to work collaboratively with cross-functional teams
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Had technical round . Questions were on Business Analysis

Q1. Requirment Elicitation
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Q1. HR questions were related to Family
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Q1. Related to the work experience
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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?
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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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