Royal Bank of Scotland International Senior Analyst Interview Questions and Answers

General cultural fit test

Q1. Basics of AML and KYC
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Q1. Salary discussion
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Q1. Tell me your education
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Q1. What is your name
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Q2. Tell me about yoursf
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Easy to tackle. Be clear and concise

Normal aptitude test with english maths, banking basics and reasoning

Q1. Depreciation, asset class, credit underwriting process 3 types of statements
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Q1. Previous experience
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Q2. Why you want to switch
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Seeking new challenges and growth opportunities in a different environment.
• Looking for a new challenge to expand my skills and knowledge

• Interested in exploring different industries and gaining diverse experience

• Seeking opportunities for career advancement and professional development
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Q1. What are the programing tools you know ? Rate yourself ( out of 5 )
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I am proficient in several programming tools and rate myself highly in their usage.
• Java - 5

• Python - 4

• SQL - 4

• R - 3

• MATLAB - 3

• Tableau - 4

• Excel - 5
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Q2. Important of SAS Macro.
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SAS Macro is important for automating repetitive tasks and reducing code redundancy.
• SAS Macro allows for parameterization of code, making it more flexible and reusable.

• It can be used to automate repetitive tasks, saving time and effort.

• Macro variables can be used to store and manipulate data, making code more efficient.

• Macro functions can be used to perform complex calculations and data transformations.

• SAS Macro can he...read more
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Q3. How to create macro variables?
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Macro variables can be created using the %LET statement in SAS programming.
• Use %LET statement followed by the macro variable name and its value.

• Macro variables can be created with or without quotes around the value.

• Macro variables can be referenced using & symbol followed by the variable name.

• Example: %LET var1 = 10; %LET var2 = 'Hello';

• Example: %LET var3 = &var1.;
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Q4. How to get different dataset from existing one ?
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To get a different dataset from an existing one, you can filter, sort, aggregate, or transform the data.
• Filter the data by selecting specific rows or columns based on certain criteria.

• Sort the data by arranging it in ascending or descending order based on one or more columns.

• Aggregate the data by grouping it based on one or more columns and calculating summary statistics.

• Transform the data by applying mathematical or l...read more
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Q5. How to remove null values in numeric data types?
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Null values in numeric data types can be removed using various methods.
• Use the dropna() function in pandas library to remove null values.

• Replace null values with a default value using fillna() function.

• Use the interpolate() function to fill null values with interpolated values.

• Use the drop() function to remove rows or columns with null values.

• Use the notnull() function to filter out null values from the data.
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Q6. Difference between add and sum function
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Add function is used to concatenate two or more strings or add numbers, while sum function is used to add numbers only.
• Add function can be used to concatenate strings like 'hello' and 'world' to form 'helloworld'

• Add function can also be used to add numbers like 2 and 3 to form 5

• Sum function is used to add numbers only, like sum(2,3) will return 5
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Q7. Use of retain statement.
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Retain statement is used to store the value of a variable across iterations of a data step.
• Retain statement is used to keep the value of a variable from one iteration of a data step to the next.

• It is commonly used to calculate running totals or to keep track of previous values.

• Retain statement is placed before the SET statement in a data step.

• Example: retain total; total + sales; output;

• Retain statement can also be use...read more
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Q8. How to remove duplicate Records by using first. And last. ?
Ans. 
Removing duplicate records using first. and last. functions.
• Use the first. and last. functions to select the first and last occurrence of each record.

• Sort the data by the key field to ensure that the first and last records are selected correctly.

• Use the delete statement to remove the duplicate records.
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Q9. How to get cumulative salary from a employee table ?
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To get cumulative salary from an employee table, you can use SQL aggregate function SUM() along with GROUP BY clause.
• Write a SQL query to select the employee ID and the sum of their salaries from the employee table.

• Use the SUM() function to calculate the cumulative salary for each employee.

• Group the results by employee ID using the GROUP BY clause.

• The query should look like: SELECT employee_id, SUM(salary) FROM employe...read more
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Q10. How Tableau get data from SAS environment?
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Tableau can connect to SAS environment through ODBC or SAS/ACCESS Interface.
• Tableau can use ODBC to connect to SAS environment and access data.

• SAS/ACCESS Interface can also be used to connect Tableau to SAS environment.

• Tableau can directly connect to SAS datasets and tables.

• Tableau can also use SAS data connectors to access data from SAS environment.
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Q11. What is calculative field in SAS
Ans. 
A calculative field in SAS is a field that is created by performing calculations on existing fields.
• Calculative fields are created using SAS functions and expressions.

• They can be used to perform complex calculations and transformations on data.

• Examples include calculating averages, percentages, and ratios.

• Calculative fields can be added to existing datasets or created as part of a data transformation process.
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Q12. What is blending in Tableau ?
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Blending in Tableau is combining data from multiple sources to create a single view.
• Blending allows for analysis of data from different sources without the need for merging.

• Data sources can be blended based on common fields or dimensions.

• Blending can be used to create a single view with data from multiple sources.

• Example: Blending sales data from Excel with customer data from a database to analyze customer behavior.

• Exa...read more
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Q13. What are the different filters in Tableau you use.
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Tableau has various filters including dimension filters, measure filters, top N filters, wildcard filters, and context filters.
• Dimension filters allow you to filter data based on specific dimensions such as category or region.

• Measure filters filter data based on measures like sales or profit.

• Top N filters allow you to filter the top or bottom N values based on a measure.

• Wildcard filters filter data based on a specific ...read more
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Q1. What is Datamart and Data warehouse
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Datamart is a subset of a data warehouse that is designed for a specific business unit or department.
• Data warehouse is a centralized repository that stores data from various sources for business intelligence purposes.

• Data warehouse is designed for enterprise-wide querying and analysis.

• Datamart is a subset of a data warehouse that is designed for a specific business unit or department.

• Datamart contains a subset of data ...read more
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Q2. What are the cleansing process you used
Ans. 
We use a multi-step process to cleanse data, including removing duplicates, correcting errors, and standardizing formats.
• Identify and remove duplicates

• Correct errors such as misspellings and inconsistent data formats

• Standardize data formats to ensure consistency

• Validate data against external sources

• Perform manual review and verification as needed
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Q3. Difference between CSV and Excel file
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CSV is a plain text file format while Excel is a binary file format.
• CSV files contain data separated by commas while Excel files can contain multiple sheets and complex formatting.

• CSV files can be easily opened in any text editor while Excel files require Microsoft Excel or a compatible program.

• CSV files are smaller in size compared to Excel files.

• CSV files are commonly used for data exchange between different systems ...read more
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Q4. How you manage your time ?
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Q5. What are the different dashboard you prepared till now
Ans. 
I have prepared various dashboards for different purposes.
• Sales dashboard for tracking revenue and sales performance

• Marketing dashboard for monitoring campaign effectiveness and lead generation

• Financial dashboard for analyzing financial data and forecasting

• Operational dashboard for tracking operational metrics and KPIs

• Customer service dashboard for monitoring customer satisfaction and support metrics
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Q6. Who are your stakeholders
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Q7. Whom you present your report
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I present my report to my immediate supervisor and other relevant stakeholders.
• Reports are presented to the immediate supervisor for review and approval.

• Reports may also be presented to other stakeholders such as department heads or clients.

• The presentation format may vary depending on the audience and purpose of the report.
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Q8. What type of adhoc report you get from client side ?
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Adhoc reports requested by clients vary depending on their needs and objectives.
• Client may request reports on sales performance, customer behavior, or market trends.

• Reports may be in the form of tables, graphs, or charts.

• Clients may also request customized reports based on specific criteria or filters.

• Adhoc reports are usually requested on a one-time basis and may not follow a regular schedule.
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Q9. What is your day to day activities
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Q1. Question regarding job experience
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Q1. Why do you want to join us!
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Q2. Introduce yourself
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