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Plum Benefits Data Analyst Interview Questions and Answers

Updated 3 Apr 2024

Plum Benefits Data Analyst Interview Experiences

1 interview found

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 3 Apr 2024

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Apr 2023. There were 3 interview rounds.

Round 1 - Assignment 

Simple case study - On customer success team data analysis

Round 2 - Technical 

(3 Questions)

  • Q1. Basic SQL and Data visualization questions
  • Q2. Joins, Subqueries, Window functions
  • Q3. Data visualisation tools and sql queries
Round 3 - Technical 

(2 Questions)

  • Q1. Simple case study
  • Q2. Business understanding question

Interview questions from similar companies

I applied via Naukri.com and was interviewed in Jun 2021. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. About SAP BODS

Interview Preparation Tips

Interview preparation tips for other job seekers - Be strong and concentrate on basics.

Interview Questionnaire 

3 Questions

  • Q1. About my self and my experience.
  • Q2. What's the reason for leaving previous job?
  • Q3. Technical question depends on process.

I applied via Recruitment Consultant and was interviewed in Aug 2020. There were 4 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Prior experience,questions related to data analysis tools.

Interview Preparation Tips

Interview preparation tips for other job seekers - Interview process is fast,mine got done in a day but if you are selected and your salary negotiation is finished, it will take almost a month to get offer letter,so need not worry till that time you will surely get it.
The reason behind the offer letter delay is they have to get approvals from multiple teams which creates a delay on the process.

Data Analyst Interview Questions & Answers

TCS user image Mahuya Khan Basak

posted on 12 Nov 2017

I was interviewed before Nov 2016.

Interview Preparation Tips

Round: Test
Experience: Only Written
Duration: 1 hour 45 minutes
Total Questions: 100

Skills: Proficiency In English, Basic concepts of computer, Commerce background with 50%

I applied via LinkedIn and was interviewed in Sep 2020. There was 1 interview round.

Interview Questionnaire 

2 Questions

  • Q1. How your work will increase our revenue? By sharing the data we can improve our services.
  • Ans. 

    Sharing data insights can help improve services and identify revenue opportunities.

    • Analyzing customer behavior can help identify areas for improvement

    • Identifying trends in sales data can help optimize pricing strategies

    • Using data to personalize marketing efforts can increase customer engagement

    • Predictive modeling can help identify potential revenue opportunities

    • Tracking key performance indicators can help optimize busi

  • Answered by AI
  • Q2. Do you believe in the overtime if yes then why? I don believe in the rare cases we should help our team mates

Interview Preparation Tips

Interview preparation tips for other job seekers - Stay cool and be optimistic.
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Sql, advance Excel formulas
Interview experience
2
Poor
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Referral and was interviewed in Aug 2024. There was 1 interview round.

Round 1 - One-on-one 

(7 Questions)

  • Q1. Explain Moving Average
  • Ans. 

    Moving Average is a statistical technique used to analyze data points by creating a series of averages of different subsets of the full data set.

    • Moving Average helps in smoothing out fluctuations in data to identify trends over time.

    • It is calculated by taking the average of a specific number of data points within a defined window.

    • For example, a 3-day moving average for stock prices would be the average of the stock pri...

  • Answered by AI
  • Q2. Explain Decorators
  • Ans. 

    Decorators in Python are functions that modify the behavior of other functions.

    • Decorators are denoted by the @ symbol followed by the decorator function name.

    • They allow you to add functionality to an existing function without modifying its code.

    • Common use cases include logging, timing, and authentication.

    • Example: @decorator_function def function_to_decorate(): pass

  • Answered by AI
  • Q3. Explain Object Oriented Programming
  • Ans. 

    Object Oriented Programming is a programming paradigm based on the concept of objects, which can contain data and code.

    • OOP focuses on creating objects that interact with each other to solve complex problems.

    • Objects have attributes (data) and methods (functions) that can manipulate the data.

    • Encapsulation, inheritance, and polymorphism are key principles of OOP.

    • Example: In a car simulation program, a 'Car' object can hav...

  • Answered by AI
  • Q4. Explain classes objects
  • Ans. 

    Classes are blueprints for creating objects in object-oriented programming.

    • Classes define the properties and behaviors of objects

    • Objects are instances of classes

    • Classes can inherit properties and behaviors from other classes

    • Classes can have constructors to initialize objects

    • Classes can have methods to perform actions

  • Answered by AI
  • Q5. Explain Functions
  • Ans. 

    Functions are blocks of code that perform a specific task and can be reused multiple times in a program.

    • Functions help in organizing code and making it more modular.

    • They can take input parameters and return output values.

    • Functions can be called multiple times from different parts of the program.

    • Examples: summing two numbers, finding the maximum value in a list.

  • Answered by AI
  • Q6. Pandas and Numpy
  • Q7. Swap L1 and L5 in a list
  • Ans. 

    Swap L1 and L5 in a list

    • Create a temporary variable to store the value of L1

    • Assign the value of L5 to L1

    • Assign the value of the temporary variable to L5

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Cleartrip Data Analyst interview:
  • Advanced Python
  • Advanced SQL
  • Advanced Excel
Interview preparation tips for other job seekers - The Job Description Listed Excel, SQL Data Visualization as key skills and python would be an add on. But all questions were asked on advanced python which may not be relevant for data analysis.

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
-
Result
No response

I was interviewed in Aug 2024.

Round 1 - Technical 

(2 Questions)

  • Q1. Calculate no of rows after join
  • Ans. 

    Calculate the number of rows after joining two datasets.

    • Count the number of rows in each dataset

    • Perform the join operation

    • Count the number of rows in the resulting dataset

  • Answered by AI
  • Q2. Split person name in excel
  • Ans. 

    Use Excel's text to columns feature to split person names into separate columns.

    • Select the column containing the full names

    • Go to the Data tab and click on Text to Columns

    • Choose 'Delimited' and select the delimiter that separates the names (e.g. space)

    • Click Finish to split the names into separate columns

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - HR 

(1 Question)

  • Q1. What are the key metrics you would be working with with EaseMyTrip?
  • Ans. 

    Key metrics for EaseMyTrip include booking conversion rate, customer acquisition cost, average booking value, and customer retention rate.

    • Booking conversion rate - percentage of website visitors who make a booking

    • Customer acquisition cost - cost to acquire a new customer

    • Average booking value - average amount spent per booking

    • Customer retention rate - percentage of customers who return to book again

  • Answered by AI

Plum Benefits Interview FAQs

How many rounds are there in Plum Benefits Data Analyst interview?
Plum Benefits interview process usually has 3 rounds. The most common rounds in the Plum Benefits interview process are Technical and Assignment.
How to prepare for Plum Benefits Data Analyst interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Plum Benefits. The most common topics and skills that interviewers at Plum Benefits expect are Health Insurance, Healthcare, Project Management, Analytics and Claims.
What are the top questions asked in Plum Benefits Data Analyst interview?

Some of the top questions asked at the Plum Benefits Data Analyst interview -

  1. Basic SQL and Data visualization questi...read more
  2. Data visualisation tools and sql quer...read more
  3. Joins, Subqueries, Window functi...read more

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Plum Benefits Data Analyst Interview Process

based on 1 interview

Interview experience

4
  
Good
View more

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₹7 L/yr - ₹8 L/yr
18% more than the average Data Analyst Salary in India
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