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Table of contents
1.
Introduction 
2.
About the Role
3.
Skills and Experience
4.
Salary and Perks 
4.1.
Salary
4.2.
Perks you get as a Big Data Analyst at Paytm. 
5.
Roles and Responsibilities
6.
Career Map
7.
 Preparation Guide 
7.1.
How to Crack Interviews
7.2.
HR Interview 
8.
Resources for Preparation 
8.1.
Coding Resources
8.2.
Aptitude Resources
8.3.
DSA Resources
8.4.
Operating System Resources
8.5.
DBMS Resources
8.6.
Web/Application Development Resources
8.7.
Networking Resources
8.8.
System Design Resources
8.9.
Other Technical Resources
9.
Frequently asked questions
9.1.
Is big data Good for freshers?
9.2.
Does big data require Coding?
9.3.
Can I learn big data in one month?
9.4.
Which language is used for big data?
9.5.
Do data analysts use math?
10.
Conclusion
Last Updated: Mar 27, 2024

Big Data Analyst at Paytm

Author Yashi Agarwal
0 upvote
Crack Google SDE interview : Essential projects
Speaker
Saurav Prateek
SDE-2 @
20 Jun, 2024 @ 01:30 PM

Introduction 

Paytm is India's topmost digital payments and financial services company. It is focused on driving consumers towards its platform by providing them with various payment assistance. Paytm offers consumers services like money transfers and utility payments. They empower them to pay via Paytm Wallet, UPI, Payments Bank, FASTag, Netbanking, and Paytm Postpaid. -They have lately come up with one more option, i.e., Buy Now, Pay Later. To merchants, Paytm offers devices like EDC, QR Codes, Payment Gateway, and Soundbox, where payment accumulation is done via PPI and also other banks' financial instruments. Paytm offers merchants commerce services in the Paytm Mini app store to further enhance merchants' business. 

paytm

 

About the Role

Prominent data analysts at Paytm help organization tackle and utilize the data to identify new opportunities. It leads to more innovative business moves, higher profits, more efficient operations, and delighted customers. Businesses that use considerable data gain value in many ways, such as

About the role
  1. They are reducing costs. Like any cloud-based analytics, big data technologies can reduce costs when storing large amounts of data. Big data analytics at Paytm helps organizations find more structured business ways.
  2. They are making faster decisions. The speed of ability to analyze new data sources, such as streaming data from IoT – helps businesses analyze information immediately and make fast, informed decisions.
  3. They are developing and marketing new products and services. Analyzing customer needs and satisfaction through analytics empowers businesses to give customers what they want when they want it. Like Big Data Analyst at Paytm, more companies have an opportunity to develop innovative new products to meet customers' changing needs.
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Skills and Experience

The engineer must possess the following skill sets to be hired as a Big Data Analyst at Paytm.

Skills Required
  • The candidate must have a bachelor's degree in computer science, information science, a related technical degree, or equivalent practical experience.
     
  • Understanding of data modeling and software architecture and data platforms. Demonstrate effective Coding, documentation, and communication habits
     
  • Familiarity with machine learning concepts to collaborate with data scientists.
     
  • Outstanding analytical and problem-solving skills.
     
  • Familiarity with Linux.

Salary and Perks 

Outstanding income comes with excellent skills. As you gain years of experience in the field, your pay rises. 

salary and perks

Salary

Average Annual Salary  5,40,000
Estimated Take home salary  40,975-42,126

**The salary mentioned above is subject to change.**

Perks you get as a Big Data Analyst at Paytm. 

  • Team Outings
     
  • Health Insurance
     
  • Job Training
     
  • Work From Home
     
  • Cafeteria
     
  • Soft Skill Training
     
  • Free Transport
     
  • Gratuity
     
  • Gifts on festivals
     
  • Mobile reimbursement
     
  • Free Food
     
  • Health care and insurance
     
  • Great pension plan
     
  • Childcare
     
  • Vacation and paid time off
     
  • Fewer office politics as most of the employees are individual contributors.
     
  • Work and personal life balance
     
  • Office Trips
     
  • Office parties

Roles and Responsibilities

A Big Data Analyst at Paytm has the following responsibilities,

roles and responsibilities
  • Analyze large-scale structured and unstructured data; develop deep-dive analysis to solve business problems.
     
  • Gather and process data from different sources and analyze it to extract valuable insights and information.
     
  • Verifying data quality and ensuring it via data cleaning
     
  • Defining the pre-processing or feature engineering to be done on a given dataset.
     
  • Define the methods to validate the correctness of the features in the datasets.
     
  • Using statistical tools to analyze, identify and interpret patterns and trends in complex data sets could be helpful for diagnosis and prediction.
     
  • Preparing reports and dashboards for the management stating trends, patterns, and predictions using relevant data.

Career Map

Career Path in paytm

As a Big Data Analyst at Paytm, you can start your career as a fresher and then have the following career paths. 

Entry-level data analyst

As an entry-level big data analyst at Paytm, you will work on core data analyst skills, including R, SQL, or Python, data management, and data visualization.

Senior Analyst

Senior analysts will need to work with various types of data depending on the industry in which they work, so they need to keep up-to-date with the metrics for their sector. They also need to be able to present their findings and recommendations to various stakeholders.

Technical Lead

Tech leads are the specialized senior developers that other programmers look to for direction. They coordinate work, implement decisions, report the development progress to company stakeholders, and be part of the decision-making process.

Director Analyst

The director Analyst will create analysis and research, communicate it to clients, and support the sales force in new sales and client retention. Their research will provide clients with insight, predictions, and actionable advice regarding data management. 

Chief Data Officer (CDO)

The CDO has senior-most responsibility for the organization's strategic use of data so that the enterprise can perform more efficiently, boost productivity, better engage with customers, employees, and other stakeholders, improve existing revenue streams and create new ones, and develop new business opportunities.

 Preparation Guide 

how to prepare

How to Crack Interviews

Let us look at some ways which will help you prepare for the interviews in a better way.

📌Write Code

The interviewer mainly tests your problem-solving skills in the technical interview rounds. The candidate can easily crack this round with good practice in writing codes well in advance. Focus on some well-known algorithms and their implementation in real life.

📌Computer Fundamentals

This tests how much a candidate understands the basics of computers and related concepts. This majorly involves the following concepts.

📍Data structures and algorithms

📍DBMS (Database Management System)

📍Operating SystemsComputer Networks

📍OOPS.

📌About Project

Be thorough with the projects that you have mentioned in your resume. You must know the tech stacks used and the proper functioning of the project. The interviewer can also ask questions regarding the application of the project in real life.

📌 Coding languages

You must know at least one coding language in which you can code the solutions for the problems given to you. It can be C, C++Java, or Python.

HR Interview 

The tips and tricks to ace this round are as follows.

📌Know about the company

This is the least that the interviewer expects from you. You must know about the company, its goals, and its plans.

📌Be prepared

There are generally some fixed questions that the interviewer asks in the HR round. Some of these questions are mentioned above.

Resources for Preparation 

To become a Big Data Analyst at Paytm, you should be well-versed in many things. Don't stress about the planning. You can always rely on Coding Ninjas to aid you with your planning.

Here are the resources to help you prepare for your recruitment exam and Interview.

Coding Resources

Aptitude Resources

DSA Resources

Operating System Resources

DBMS Resources

Web/Application Development Resources

Networking Resources

System Design Resources

Other Technical Resources

Frequently asked questions

Is big data Good for freshers?

The answer to this question is a very big YES. There is no place in IT where freshers are not required, whether it be an old technology like mainframes or the latest technology like Big Data. This is just a myth that companies like Paytm hire experienced professionals only for prominent data Analysts at Paytm.

Does big data require Coding?

Working on Big Data requires programming skills that are not valid. Even with little or no programming knowledge, there are many scopes to gain Big Data career opportunities and growth in the Big Data space.

Can I learn big data in one month?

It will take 1 to 1.5 months to learn Big data development. The primary prerequisite is knowing the database query and a little programming knowledge. It has come up with many diverse tools that you can fit into your prior experience to gain expertise. 

Which language is used for big data?

Java, Python, R, and Scala are commonly used in big data projects. In a series of articles, I briefly describe these languages and the reasons for their popularity among data scientists over the specific tool.

Do data analysts use math?

As with any scientific career, data analysts require a firm grounding in mathematics to succeed. It may be necessary to review and, if necessary, improve your math skills before learning how to become a data analyst.

Conclusion

In this blog, we discussed everything required to get a job as a Big Data Analyst at Paytm, along with a brief idea about the job, required skills, and a career roadmap. 

For more related articles 

Refer to our beginner's guide to start preparing for the Role. You can check this blog on Big Data. You can also learn a programming language through our courses. Like the Basics of Python, then step on to another level of Python, etc. Check out Interview PuzzlesQuestionsAptitude preparation, Top 150 Interview Puzzlesand Product Companies Interview Prep. You can also look for our Coding Ninjas Studio, where many DSA problems and concepts are found. You can look out for this Diversified Section also.

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