Damco Solutions Data Analyst Interview Questions and Answers

Q1. Tell about yourself
Ans. 
I am a data analyst with a background in statistics and programming, passionate about turning data into actionable insights.
• Background in statistics and programming

• Experience in data analysis and visualization tools like Python, R, and Tableau

• Strong problem-solving skills and attention to detail

• Ability to communicate complex data findings to non-technical stakeholders
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Q2. Rate yourself in sql
Ans. 
I rate myself as proficient in SQL with experience in writing complex queries and optimizing database performance.
• Proficient in writing complex SQL queries

• Experience in optimizing database performance

• Familiar with database management systems like MySQL, PostgreSQL, etc.
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This was basic test it was easy

Q1. Here all question are based on my resume
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Q2. Explain your project What kind of work you did
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Q1. Tell me about yourself.
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Blood Relations, Pipes and Cisterns, Time and work etc.

Question based on hashmap

Is Artificial Intelligence boon or ban.

Q1. Python and SQL questions
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Q2. Python and Numpy, Pandas
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Multiple sections on cognitive ability, quant and logical reasoning.
1 coding question

Easy
50% went to next round

Q1. Technical: SQL, DBMS, Basic programming questions- palindrome, fibonacci, discussion on projects and internships
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Q2. Difference between UNION and UNION ALL
Ans. 
UNION combines and removes duplicates, UNION ALL combines without removing duplicates.
• UNION merges the results of two or more SELECT statements and removes duplicates.

• UNION ALL merges the results of two or more SELECT statements without removing duplicates.

• UNION is slower as it has to remove duplicates, while UNION ALL is faster.

• Example: SELECT column1 FROM table1 UNION SELECT column1 FROM table2;

• Example: SELECT column...read more
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Q3. Types of SQL commands
Ans. 
SQL commands include SELECT, INSERT, UPDATE, DELETE, CREATE, and DROP.
• SELECT: retrieves data from a database

• INSERT: adds new records to a table

• UPDATE: modifies existing records in a table

• DELETE: removes records from a table

• CREATE: creates a new table, view, or index

• DROP: deletes a table or index
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Q1. Common HR questions
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It was easy to approach!

Discussions about common topics like boon or bane to society

Asked about the scenarios

Q1. Technical round related to skills and resume
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Q1. Discussions regarding work culture and compensations
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