Moody's Business Analyst Interview Questions and Answers

Basic Aptitude, time and distance, time and work, basic class 10 maths

Q1. Guesstimate - detergent used in hospital in a day
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Q2. Position of responsibility
Ans. 
I have held multiple positions of responsibility in my previous roles, including leading project teams and managing client relationships.
• Led a project team to successfully implement a new software system

• Managed client relationships and ensured customer satisfaction

• Served as a mentor to junior team members and provided guidance on complex projects
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Q1. Guestimate - flights in mumbai airport in a day
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Q2. What is that makes you a suitable candidate and why EXL
Ans. 
I am a suitable candidate for the Business analyst role at EXL due to my strong analytical skills, experience in data analysis, and ability to drive business insights.
• I have a strong background in data analysis and have successfully implemented data-driven strategies in my previous roles.

• I possess excellent analytical skills which enable me to interpret complex data and provide valuable insights for decision-making.

• I h...read more
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Q1. What are the tools and technologies used in your academic projects?
Ans. 
Various tools and technologies were used in academic projects including Microsoft Excel, Python, SQL, Tableau, and R.
• Microsoft Excel was used for data analysis and visualization.

• Python was utilized for data cleaning, manipulation, and statistical analysis.

• SQL was employed for database querying and management.

• Tableau was used for creating interactive data visualizations.

• R was used for statistical computing and graphics.
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Q2. Could you provide details about the projects you worked on and explain your role in them?
Ans. 
I have worked on various projects including system implementation, process improvement, and data analysis.
• Led a team in implementing a new CRM system to streamline customer interactions

• Identified inefficiencies in inventory management process and proposed solutions for improvement

• Conducted data analysis to identify trends and make recommendations for cost savings

• Collaborated with stakeholders to gather requirements and
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About 7-8 people in the JD. Given generic topis fo rdiscussion

Q1. What is Regression?What is Mutlicollinearity?
Ans. 
Regression is a statistical technique used to understand the relationship between a dependent variable and one or more independent variables. Multicollinearity occurs when independent variables in a regression model are highly correlated.
• Regression helps in predicting the value of the dependent variable based on the values of independent variables.

• Multicollinearity can lead to issues in interpreting the coefficients of...read more
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