Asset Analytix Business 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 experience in conducting market research and analyzing data to identify trends

• I am proficient in using tools like Excel, SQL, and Tableau for data analysis

• I have excellent communication skills and can effectively collaborate with cross-functional
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Q2. Some questions on project
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Q1. How do you handle conflicting stockholder requirements n a project?
Ans. 
I prioritize stakeholder requirements through effective communication, negotiation, and alignment with project goals.
• Identify and document all stakeholder requirements to understand the full scope.

• Facilitate meetings to discuss conflicting requirements and encourage open dialogue.

• Use prioritization techniques, such as MoSCoW (Must have, Should have, Could have, Won't have), to assess the importance of each requirement.

• ...read more
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Q1. What experience do you have in this role?
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Q2. What tools or technologies are you comfortable using?
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I am proficient in various data analysis tools, including Excel, SQL, Python, and visualization software like Tableau.
• Excel: Advanced functions, pivot tables, and data visualization.

• SQL: Writing complex queries for data extraction and manipulation.

• Python: Utilizing libraries like Pandas and NumPy for data analysis.

• Tableau: Creating interactive dashboards for data visualization.

• R: Statistical analysis and data visualiza
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Based on my CV, they assigned me a task related to data migration.

Q1. Project reviews
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Q2. Attendance regarding
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Q1. What is the pivot table in Excel
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A pivot table in Excel is a data summarization tool that allows you to reorganize and summarize selected columns and rows of data.
• Allows users to summarize and analyze large datasets

• Can easily reorganize data by dragging and dropping fields

• Provides options to calculate sums, averages, counts, etc. for data

• Helps in creating interactive reports and charts

• Useful for identifying trends and patterns in data
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Q2. A pivot table is used to summarize...........etc.
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Q1. Write scenarios on banking application
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Scenarios on banking application for QA testing
• 1. User login with valid credentials

• 2. User login with invalid credentials

• 3. Transfer funds between accounts

• 4. Check account balance

• 5. Update personal information
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Q2. Write sql queries
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SQL queries for QA Engineer interview
• Use SELECT statement to retrieve data from database

• Use WHERE clause to filter data based on specific conditions

• Use JOIN clause to combine data from multiple tables

• Use GROUP BY clause to group data based on specific columns

• Use ORDER BY clause to sort data in ascending or descending order
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Q1. Basic questions
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Q1. Tell me about yourself and your experience in manual testing.
Ans. 
Experienced Manual Test Engineer with a strong background in software testing and quality assurance.
• Over 5 years of experience in manual testing across various domains, including e-commerce and finance.

• Proficient in creating detailed test cases and executing them to ensure software quality.

• Worked on projects involving user acceptance testing (UAT) to validate software against business requirements.

• Collaborated with cro...read more
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Q2. Why did you choose a career in software testing?
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I chose software testing to ensure quality, enhance user experience, and embrace the challenge of problem-solving in technology.
• Passion for quality: I enjoy ensuring that software meets high standards, which directly impacts user satisfaction.

• Problem-solving: Testing allows me to identify issues and think critically about how to improve software functionality.

• Attention to detail: I have a keen eye for detail, which is ...read more
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Q3. What do you know about our company and its products?
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Q1. What is the D/B verification and validation in QA?
Ans. 
D/B verification and validation in QA refers to the process of ensuring that data in a database is accurate, complete, and consistent.
• Verification involves checking if the data in the database matches the expected values or rules.

• Validation involves ensuring that the data in the database meets the specified requirements and is reliable.

• Examples include verifying that user information is correctly stored in a database a...read more
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Q2. Verification : ensures the product is being built correctly (meet design specifications). Validation : ensures the right product is built (meets user needs and requirements).
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