Qapita Fintech Data Analyst Interview Questions and Answers

Sql, python, statistical questions

Q1. How daily work looks like?
Ans. 
Daily work involves analyzing data, creating reports, and communicating findings to stakeholders.
• Reviewing and cleaning data sets

• Creating visualizations and dashboards

• Conducting statistical analysis

• Communicating insights to non-technical stakeholders
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Q2. Most ise tools?
Ans. 
Some of the most commonly used tools for data analysis include Excel, Python, R, Tableau, and SQL.
• Excel is widely used for data manipulation and analysis.

• Python and R are popular programming languages for data analysis and machine learning.

• Tableau is a powerful data visualization tool.

• SQL is essential for querying databases and extracting data.
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4 sql tasks on 3 tables. Joins, subqueries

It was a basic Aptitude test, Needed to learn Probability, Permutation , Cobination and SQL.
Total Duration 1 Hour.

Q1. Types of Window Function
Ans. 
Window functions are used in SQL to perform calculations across a set of table rows related to the current row.
• Types include ROW_NUMBER(), RANK(), DENSE_RANK(), NTILE(), LAG(), LEAD(), FIRST_VALUE(), LAST_VALUE(), etc.

• They allow for calculations to be performed on a specific subset of rows within a query result set.

• Window functions are commonly used for running totals, moving averages, and ranking data.
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Q2. Difference between Joins with examples
Ans. 
Joins are used to combine rows from two or more tables based on a related column between them.
• Inner Join: Returns rows when there is a match in both tables.

• Left Join: Returns all rows from the left table and the matched rows from the right table.

• Right Join: Returns all rows from the right table and the matched rows from the left table.

• Full Outer Join: Returns rows when there is a match in one of the tables.

• Cross Join:
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Q1. Case Study of zomato ?
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Q2. Some basic math questions. Simultaneous equations .
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Hackerrank test mostly on python and sql

Q1. SQL based questions
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Q2. Python based questions
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SQL - technical round

Case Study round - 2

Intermediate level coding round

Q1. Project explaination
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Q2. Explain project ind detail
Ans. 
Developed a predictive analytics model to forecast customer churn for a telecommunications company.
• Collected and cleaned customer data from various sources

• Performed exploratory data analysis to identify patterns and trends

• Built a machine learning model using logistic regression to predict customer churn

• Evaluated the model's performance using metrics such as accuracy, precision, and recall
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Apti was based on analytical skills

It was a fun GD which had the topic future app experiences.

Asked questions on guestimates and my analytical skills

Q1. HR questions and 1 analytical question asked.
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Q2. Question asked on my location
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Q3. Question asked on guestimates
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