Open Financial Technologies Private Limited Senior Data Analyst Interview Questions and Answers

Technical SQL Coding Round of 1 hour

Began with 2 easy generic question -
1. No. of record on different types of joins.
2. Employees who have higher salaries than their managers,

Then moved to medium questions -
1. Implement Rolling sum with & without window functions.
2. Other questions were on CTEs, Joins & other complex queries.

Bar Raiser Round of 1 hour involving -

1. Case study: How can we leverage product knowledge & analytics to increase Amazon Prime Revenue from 10% to 12%?

2. Metrics awareness: Common metrics discussion like DAU, PDAU, MAU, Retention, Churn, etc.

3. Resume based work exp discussion

Q1. Quick culture fitment round with HR discussing about past work experience, my expectations & why I want to join Jupiter.
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Quantitative case study on cost benefit analysis of 2 types of public buses running in a city. Need to choose one of them with higher profits

Fraud detection model: 3rd party firm proposing to use thier model for fraud detection. Need to profit analysis of whether to go for it or not.

Q1. Culture fit round to understand if compatible with the company
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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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Round duration - 90 Minutes
Round difficulty - Easy

Problem solving using SQL questions

Round duration - 90 Minutes
Round difficulty - Easy

A marketing campaign is run, how will you decide metrics to be tracked. Techincaly a KPI round

Q1. In a marketing campaign, how would you decide which metrics to track?
Ans. 
Metrics selection based on campaign objectives, target audience, and key performance indicators.
• Identify campaign objectives and goals

• Consider target audience and their behavior

• Select key performance indicators (KPIs) relevant to the campaign

• Track metrics such as conversion rate, click-through rate, ROI, customer acquisition cost

• Analyze data to measure success and make data-driven decisions
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Round duration - 30 Minutes
Round difficulty - Easy

Social empathatic fit round

Q1. Basic SQL questions are asked in this round Some theory questions are asked as well
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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. Joins outputs for various types of joins
Ans. 
Joins in SQL are used to combine rows from two or more tables based on a related column between them.
• Types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN

• INNER JOIN returns rows when there is at least one 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

• FU...read more
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Q2. Query using window functions
Ans. 
Window functions are used to perform calculations across a set of table rows related to the current row.
• Window functions are used in SQL to perform calculations on a set of rows related to the current row.

• They allow you to perform calculations like ranking, moving averages, and cumulative sums.

• Examples of window functions include ROW_NUMBER(), RANK(), and SUM() OVER().
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Mostly medium leetcode

Mostly medium level DSA

Q1. AWS, GCP , Kubernetes, Docker
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Q1. Security standards, cloud security
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