Tracxn Data Analyst Interview Questions and Answers

Questions from arrays and strings and some aptitude questions

Q1. How to merge 2 csv files
Ans. 
To merge two CSV files, you can use software like Microsoft Excel or programming languages like Python.
• Open both CSV files in a software like Microsoft Excel.

• Copy the data from one CSV file and paste it into the other CSV file.

• Save the merged CSV file with a new name.

• Alternatively, you can use programming languages like Python to merge CSV files by reading both files, combining the data, and writing to a new file.
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Q2. Basic questions on arrays
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Q1. 3 reasons why u choose this company
Ans. 
I applied to this company because of its reputation in the industry, opportunities for growth, and company culture.
• Reputation in the industry - I have heard great things about the company's innovative projects and successful track record.

• Opportunities for growth - The company offers various training programs and career advancement opportunities for employees.

• Company culture - I value a positive work environment and the...read more
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Q1. Questions on python
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Q1. Previous company experience and current company roles and responsibilities
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Simple SQL & Excel test

Q1. Will Face hiring Manager
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Test was based on SQL, coding and MCQ. Coding involved nested query.

There are 2 coding challenges and 7 objective questions

Q1. Technical questions related to role
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Q1. Interviewer asked me basic SQL questions
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Q2. In the second technical round he asked me advanced SQL topics (Windows Functions, Joins & Subqueries)
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In the second technical round interview asked me about advanced sql topics, theory questions and two coding questions in joins and window functions.

Q1. SQL query use join
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Q1. What’s your previous experience
Ans. 
I have 3 years of experience as a data analyst in the finance industry.
• Worked with large datasets to extract meaningful insights

• Performed data cleaning, transformation, and visualization

• Created and maintained dashboards and reports for stakeholders

• Conducted statistical analysis and built predictive models

• Collaborated with cross-functional teams to identify business opportunities
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Q2. What’s your skills for the current role
Ans. 
I have strong skills in data analysis, including proficiency in statistical analysis, data visualization, and programming languages such as Python and SQL.
• Proficient in statistical analysis techniques

• Skilled in data visualization using tools like Tableau

• Strong programming skills in Python and SQL

• Experience with data cleaning and preprocessing

• Ability to interpret and communicate insights from data

• Familiarity with machin...read more
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