Big Oh Notation 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...read more
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Q2. Some questions on project
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Q1. How do you gather and document business requirements?
Ans. 
I gather and document business requirements through stakeholder interviews, workshops, and detailed analysis of business processes.
• Conduct stakeholder interviews to understand their needs and expectations. For example, interviewing department heads to gather insights on their challenges.

• Facilitate workshops with cross-functional teams to brainstorm and prioritize requirements. This can include using techniques like bra...read more
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Q2. Can u explain the D/W functional and non.functional requi....?
Ans. 
D/W functional and non-functional requirements are essential for defining system capabilities and performance criteria.
• Functional requirements specify what the system should do, e.g., user authentication, data processing.

• Non-functional requirements define how the system performs tasks, e.g., response time, security, scalability.

• Example of functional: 'The system must allow users to generate reports.'

• Example of non-func...read more
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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. How would you handle missing dataduring analysis?
Ans. 
Handling missing data involves identifying, assessing, and applying appropriate techniques to manage gaps in datasets.
• Identify missing data: Use methods like 'isnull()' in Python to find missing values.

• Assess the impact: Determine how missing data affects your analysis and results.

• Imputation: Replace missing values with mean, median, or mode. For example, use the median for skewed distributions.

• Remove missing data: If ...read more
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Q2. Explain the difference inner join and left join in SQL ? and example
Ans. 
Inner join returns matching records from both tables, while left join returns all records from the left table and matching from the right.
• Inner Join: Combines rows from two tables where there is a match in both tables.

• Left Join: Returns all rows from the left table and matched rows from the right table; unmatched rows from the right will show NULL.

• Example of Inner Join: SELECT * FROM TableA INNER JOIN TableB ON TableA....read more
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Q3. Which visualisation have tools used and how do you decide which chart to used for a given dataset?
Ans. 
Choosing the right visualization depends on data type, audience, and insights needed.
• Use bar charts for categorical comparisons (e.g., sales by region).

• Line charts are ideal for trends over time (e.g., monthly revenue).

• Pie charts can show proportions but are less effective for many categories.

• Scatter plots help identify relationships between two variables (e.g., age vs. income).

• Heatmaps visualize data density or correl...read more
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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. How do you handle missing r increasing data in a dataset?
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Q2. Which tools and technique do you use for data visualization?
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Q1. What is the pivot table in Excel
Ans. 
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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