Equitas Small Finance Bank Data Analyst Interview Questions and Answers

Q1. What is data analyst
Ans. 
A data analyst is a professional who collects, processes, and analyzes data to provide insights and support decision-making.
• Collects data from various sources

• Cleans and processes data to ensure accuracy

• Analyzes data using statistical methods and tools

• Interprets data to identify trends and patterns

• Presents findings and recommendations to stakeholders
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Q2. Asked question regarding project mention
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Hackerrank test of 2 medium questions

Q1. ALL technical from your resume
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Q1. Typical HR Interview
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Was asking to solve case study based on Python, find the relevant insights

Q1. Sas proc format
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Q2. How have you debug macros
Ans. 
I have debugged macros by reviewing code, checking for errors, using print statements, and stepping through code.
• Reviewing the macro code line by line to identify any syntax errors or logical mistakes

• Using print statements to output variable values and check for unexpected results

• Stepping through the code using a debugger tool to track the flow of execution and pinpoint issues

• Testing the macro with different inputs to
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Q3. How big data handled by you
Ans. 
I handle big data by using advanced analytics tools and techniques to extract valuable insights.
• Utilize data visualization tools like Tableau or Power BI to analyze and present data

• Use programming languages like Python or R for data manipulation and statistical analysis

• Implement machine learning algorithms to uncover patterns and trends in large datasets

• Leverage cloud computing platforms like AWS or Google Cloud for sc...read more
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Basic maths questions

Basic topics movies vs series

Q1. Sql Queries were asked
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Q2. Was based on resume
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Q1. Based on resume the questions were
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Q2. Questions about family
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Q1. Automation done
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Q1. Base on SQL and tableau
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Q2. How join work share in detail with examples
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Q3. How to get nth salary
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Q4. How to delete duplicates
Ans. 
To delete duplicates, use SQL query with DISTINCT keyword or remove duplicates programmatically in Python using sets.
• Use SQL query with DISTINCT keyword to remove duplicates from a database table

• In Python, remove duplicates from a list using sets: list(set(original_list))

• For pandas DataFrame, drop duplicates using df.drop_duplicates()
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Q1. Live coding on the platform
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