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Table of contents
1.
Introduction
2.
About The Role
3.
Salary And Perks With The Job
4.
Skills And Experience Required
4.1.
Eligibility 
4.2.
Skills Required for Data Analysts
5.
Job Expectations
6.
Preparation Strategy
6.1.
Familiarise Yourself with the Essentials
6.2.
Get into a Structured Course
6.3.
Develop Your Communication Skills
6.4.
Build Your Network
6.5.
Design Your Portfolio
7.
Career Map 
7.1.
Entry Level Data Analyst
7.2.
Mid Level Data Analyst
7.3.
Senior Level Data Analyst
8.
Resources For Preparation 
8.1.
Interview Resources
8.2.
Coding Resources
8.3.
Aptitude Resources
8.4.
Other Technical Resources
9.
Frequently Asked Questions 
9.1.
What is the role of a Data Analyst?
9.2.
Is data analyst a good position to work for?
9.3.
Which skills should we learn to grab a data analyst position?
9.4.
What are the advantages of building a network?
9.5.
How does good communication help in a technical job?
10.
Conclusion
Last Updated: Mar 27, 2024

Data Analyst at Cognizant

Author Geetika Dua
0 upvote
Master Power BI using Netflix Data
Speaker
Ashwin Goyal
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18 Jun, 2024 @ 01:30 PM

Introduction

Are you looking for a data-oriented job? Do you love to analyze data? Do you want to apply for a Data Analyst at Cognizant? Don't worry! We got you covered. Keep reading!

Introduction

Let us look at every aspect of how to be a Data Analyst at Cognizant.

About The Role

The role of a Data Analyst is to collect, process, and perform analysis on large datasets. They work with data and derive conclusions from it. Their study often helps businesses to answer questions and solve issues. 

A data analyst has become a famous job in the 21st century as the data is constantly changing and increasing. Data analysts use SQL as a relational database to make analyses. The detailed work of a data analyst varies from company to company, but it usually involves gathering and analyzing data to derive conclusions.

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Salary And Perks With The Job

The average salary of a data analyst at Cognizant is  ₹ 5,48,058. The in-hand base pay varies from 41k-42k generally.

Average Income

Salary

Annual Salary 5.48 LPA
Base Pay 41-42k

Note: The above-mentioned salaries are subject to change by the company.

Along with the considerate salary, the company also provides benefits like-

perks

Following are the perks of working as a Data Analyst at Cognizant.

  • Free Transportation
  • Health Insurance
  • Work from Home
  • Job Training
  • Cafeteria
  • Soft Skill Training
  • Team Outings
  • Gymnasium 
  • Education Assistance
  • Child Care
  • Free Food
  • International Relocation

Skills And Experience Required

Let us look at some skills and experience required to become a Data Analyst. First, let us go through the eligibility criteria.

Eligibility 

eligibility

The eligibility criteria for an individual to apply for the role of Data Analyst at Cognizant are:

  •  Should have 60% and above in 10th, 12th, Diploma, Graduation (aggregate of 8 semesters) / MTech (Aggregate of 4 semesters).
     
  •  No active backlogs are allowed.
     
  •  Qualification – All branches are allowed for MCA, BE / BTech, and ME / MTech.
     
  • Must have excellent communication skills.

Skills Required for Data Analysts

  • Programming Languages: Data analysts are generally expected to be efficient in R, SAS, and Python. These languages are used for gathering, cleaning, analyzing, and visualizing the data. 
     
  • Analytical Thinking: Data analysts should be highly creative. They should use their curiosity and creativity to generate solutions. It helps the company to make profits.
     
  • Strong and Effective Communication: It is essential to have strong communication skills to convey your ideas. Along with programming and analysis, speaking and making the concept clear to the audience is crucial. 
     
  • Data Warehousing: Data warehousing is vital for data analysts at the backend.
     
  • SQL Databases: Data analysts need to know SQL databases.
     
  • Database Querying Languages: SQL, PostgreSQL, and T-SQl are some famous querying languages in demand.
     
  • Microsoft Excel: Candidates should have a good knowledge of Microsoft Excel to perform data analysis efficiently.
     
  • Machine Learning: Machine learning is a highly appreciated skill in the market. It adds to the profile of a data scientist.

Job Expectations

  • Data Analysts work with IT Teams, Management teams, and data scientists to align with the company goals.
     
  • They mine and clean data. After that, they analyze and generate the results.
     
  • Using standard statistical tools and techniques, they work with trends, correlations, and regressions.
     
  • They also create a summary of their results and communicate the same to the concerned people.
     
  • They work with programming languages like R Programming Language and Python to create visualizations and generate data.
     
  • Although it is not important to know machine learning, it is usually a plus point. Machine learning and statistics are helpful tools for data analysts.
     
  • They are required to communicate with the clients nicely as well.

Preparation Strategy

We have tried to list the preparation strategy to make the process easier. Following this roadmap to grab the role of a Data Analyst at Cognizant, you can quickly increase your skills as a data analyst. Here is the action plan for success!

Familiarise Yourself with the Essentials

familiarise yourself with the essentials

The first step is to get comfortable with data analytics and tools. You should gain knowledge of fundamental concepts and tools.

  • You should study concepts like Python, Statistics, Microsoft Excel, and Statistical tools to strengthen your technical skills.
     
  • More topics like regression analysis, factor analysis, cohort analysis, cluster analysis, and time-series analysis are essential to learning. 
     
  • Studying these will help you develop a strong base and increase your chances of grabbing a data analyst job.

Get into a Structured Course

Enroll in a Structured Course

It's time to take your career transition seriously now. The internet offers a wealth of excellent, free materials, but you need a more organized approach and practical experience than you need. Enrolling in a specialized program or school is the most efficient method to become an employable data analyst.

The good thing is that there are many different courses available. Due to the increased need for qualified data analysts, there has been an increase in classes and boot camps that claim to transform students from data beginners into professionals. But here, we at Coding Ninjas provide a fully-fledged course on data analytics.

Develop Your Communication Skills

communication skills

Beyond the technical skills, you should also work on your communication skills. It is vital to convey your readings and results. Good communication makes it easier to convince your ideas to the stakeholders. Working on your soft skills to excel in the industry is always a good idea.

Build Your Network

network

The unwritten rule of the industry is to boost your social network. If you develop more contacts, you can get more access to the ideas and viewpoints of people. Networking also makes it possible to take opportunities when they come. Networking is relatively easy. You can always use social media platforms like LinkedIn to connect with more people in your domain. It will develop your skills and increase your confidence.

Design Your Portfolio

design Your Portfolio

Designing your resume is one of the most crucial aspects of grabbing a job. Your portfolio creates a first impression on the recruiter. It gives the company a list of your skills and abilities. The portfolio lists both your hard and soft skills. They tell the company whether you are fit for the job. This is why keeping your portfolio up to date is highly recommended.

Career Map 

Career Map

Entry Level Data Analyst

The job of an Entry Level Data analyst is to work with tools like Microsoft Excel and statistical software. They generate results on the basis of previous data available.

Mid Level Data Analyst

A Mid-level Data Analyst is expected to work with complex tools and further narrow down the research. They should be able to take the lead and work in a team.

Senior Level Data Analyst

A Senior Level Data Analyst has to be a team player and should have great leadership principles. He should be able to communicate well along with delivering highly accurate data analysis.

You can also check out Data Analyst vs Data Scientist here.

Resources For Preparation 

Do you still have doubts about how and where to begin from? All your worries are ours. Follow the structured material of Coding Ninjas to get an edge over your peers.

Interview Resources

Coding Resources

Aptitude Resources

Other Technical Resources

To become an expert at Coding Ninjas Studio, explore it here.

Refer to this video for more insights.

Frequently Asked Questions 

What is the role of a Data Analyst?

The role of a data analyst is to collect, process, and perform analysis on large datasets. They work with data and derive conclusions from it.

Is data analyst a good position to work for?

Data analysts are in huge demand. This is because they are an important part of decision-making and help make analysis that in turn makes the company profitable.

Which skills should we learn to grab a data analyst position?

We should be familiar with Programming languages like R, Python, SAS, and tools like regression analysis, correlation, and cohort analysis to become data analysts.

What are the advantages of building a network?

 If you develop more contacts, you can get more access to the ideas and viewpoints of people. Networking also makes it possible to take opportunities when they come.

How does good communication help in a technical job?

Good communication makes it easier to convince your ideas to the stakeholders. It is always a good idea to work on your soft skills to excel in the industry is always a good idea.

Conclusion

In this blog, we studied becoming a data analyst at cognizant. We also covered domains like the role, eligibility, and preparation strategy for grabbing this role. We hope this blog proves to be useful for you. Are you looking for more? Refer to our more articles on cognizant.

You can also consider our Data Analytics Course to give your career an edge over others.

Happy Learning! 🥷✨

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