Code360 powered by Coding Ninjas X Code360 powered by Coding Ninjas X
Table of contents
About Capgemini
About the Role🧑‍💻
Skills Required 
Minimum Qualifications 
Required Techincal Traits 
Required Behavioral Traits
Salary and Perks
Perks as Data Analyst at Capgemini
Salary as Data Analyst at Capgemini
Key Responsibilities 
Career Path 🏆
Preparation Tips and Resources💡
Frequently Asked Questions
How can I become a Data Analyst at Capgemini?
What are the major skills required for becoming a data analyst?
Does resume plays a vital role in selection?
How many rounds are there for data analyst at Capgemini?
What is the average base salary of a Data Analyst at Capgemini in India?
Last Updated: Mar 27, 2024

Data Analyst at Capgemini

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


Everyone has the right to “DREAM”. Getting a stable job that matches your skill-set is also like a dream in today’s world. If you are here, you may want to start your career as a data analyst at Capgemini. 


In this article, we will discuss the process of becoming a Data Analyst at Capgemini, the skills required, and various other essential things related to the Data analyst role. 

About Capgemini

Capgemini is a French American multinational IT(Information Technology) and consulting company having headquarters in France and Paris. It is a global leader in digital technologies, transformation, consultant, and engineering services. The company focuses on innovation to provide excellent solutions to its customers in this evolving world of the digital era.  

About Capgemini

Capgemini has created its identity by staying focused on its values and ethics, which are:

  • Honesty - The most essential aspect of building trust with the customers.  
  • Boldness - Gives the spirit to show commitment and desire to take risks to increase productivity. 
  • Freedom - Independence in judgments, thoughts, creativity, and spirit. Providing respect for each other in the work culture.  
  • Trust -  Having trust means providing priority and openness to share your thoughts and ideas with others, providing more and more innovative and creative solutions. 
  • Modesty - Ability of not to be too confident about your abilities. This helps provide a learning and development culture in the company, which is necessary in an evolving world. 
  • Fun - Having some fun is also very important to provide mental stability, which is essential for development and boosting efficiency. 
  • Team spirit - Helps in collective work and dividing responsibilities. Returning to a supportive and positive environment. 

Working in a company with such great values and ethics sounds cool.😎

Get the tech career you deserve, faster!
Connect with our expert counsellors to understand how to hack your way to success
User rating 4.7/5
1:1 doubt support
95% placement record
Akash Pal
Senior Software Engineer
326% Hike After Job Bootcamp
Himanshu Gusain
Programmer Analyst
32 LPA After Job Bootcamp
After Job

About the Role🧑‍💻

The data analyst at Capgemini has the following responsibilities:

About job role

💻 Working on client online database adherence to SLA(Service-Level Agreement) for productivity quality.

💻 Work on the assigned job and attend meetings scheduled for the project.

💻 Resolving transactions basis efficiency.

💻 Follow the guidelines of project documentation.

💻 Resolving transactions basis quality standards.

💻 Follow procedures and policies of the organization.

💻 Work as a team player.

Let’s discuss the skills required to be a data analyst at Capgemini.

Skills Required 

 Skills Required

Minimum Qualifications 

🎓 BE (Bachelor of Engineering) or MS(Master of Science) or Ph.D. in Computer Science/Engineering, Mathematics, Economics, Statistics, or other related fields.

🎓 5+ years of experience as a data analyst working on large-scale data. 

Required Techincal Traits 

📝 Experience in data analysis frameworks and tools like Hive, Python, Spark SQL(Structured Query Language)

📝 Expertise in data collection, analytics, and modeling

📝 Strong understanding + experience of data validation techniques

📝 Experience in big data and PowerBI

📝 Skilled in Excel and Advanced Excel

📝 Familiarity with data management and visualization. 

📝 Knowledge of databases( MysqlSQL (Structured Query Language) ServerSnowflake)

📝 Hands-on experience in Data/Analytics solutions

📝 Good in report preparation(Tableau, PowerBI, Looker, etc.)

Required Behavioral Traits

  • Multi-tasker
  • Self-starter
  • Attention to detail
  • Logical thinking
  • Proper management
  • Good presentation skills
  • Skill to understand the emotional and cultural blockers
  • Highly efficient with ambiguity and complexity
  • Strategic thinking and acting operationally

Salary and Perks

Salary and Perks

Perks as Data Analyst at Capgemini

Employee Perks include

🔥 Full medical and dental care along with life insurance

🔥 Employee Assistance Programs

🔥 Team Outings

🔥 Free transportation

🔥 Maternity and Paternity leave

🔥 Performance-based Bonus

🔥 Flexible spending accounts

🔥 Vacation & Paid Time Off

🔥 10 Sick Leave per year 

🔥 Child and Adult care

🔥 Job Training

Salary as Data Analyst at Capgemini

💰 Base Average pay - ₹4,07,883/yr

💰 Additional Average pay - ₹51,046/yr

💰 Average cash bonus - ₹25,000/yr

💰 Average stock bonus - ₹59,683/yr

💰 Average profit sharing - ₹7,067/yr

💰 Average tips- ₹5,553/yr 

💰 Average commission bonus - ₹695/yr

The salary figures mentioned above are subject to change.😐

Key Responsibilities 

The primary responsibilities of a data analyst are to analyze the data and provide judgment for Capgemini’s business goals by analyzing large datasets from various organizations and other sources and organizing this data into meaningful information for other clients.


A few responsibilities that a data analyst at Capgemini has to work upon are:

  • Working in a corporative environment with global teams to work on client engagements in a huge wide range of industries to built scalable solutions using AI(Artificial Intelligence) and ML(Machine Learning) for solving business problems.
  • Working in a team to understand need of clients and develop solutions accordingly. 
  • Collaboratively presenting solutions to client's executives. 
  • Collaborate with other team to provide data-driven recommendations and solutions for the clients by clearly complex technical concepts through the delivering and generating generation presentations. 
  • Analyze and model both structured and unstructured data to generate value. 
  • Use industry expertise and data science experience to uncover new opportunities with clients' data.
  • Design and build scalable machine learning models to meet the needs of given client engagement. 
  • Assist with the mentorship and development of consultants. 
  • Assist in growing Data Science practice by meeting business goals through client prospecting, responding to proposals, and identifying and closing opportunities within identified client accounts.  

Career Path 🏆

Data analyst plays a vital role in business because the world runs on data. Since the data is worldwide, it is the right time to become a Data analyst.

Career path

You may be wondering what if, in the future, I want to change my job profile🤔? No worries at all because these two most common paths exist for this role.

  • Freelancer to Consultant

freelancer to consultant

If you want to have a job with flexible hours, choose your projects and work from home, you can start working as a freelancer.

After building up a solid client base and gaining a few years of experience, you can apply as a consultant in companies, work with them for a fixed duration and help them improve their business operations as consultants enjoy maximum work flexibility and sturdy salaries.

  • Manager to Chief Technology Officer

Manager to CTO

If you prefer a stable job as an employee, you can start as an entry-level analyst and move to manager. You can also land the role of CTO(Chief Technology Officer) if you want to develop leadership qualities.

With the right data analysis skills, you can shape an ideal career for your personality and fulfill your goals. Let’s now discuss how you can prepare because H.Jackson Brown says, “The best preparation for tomorrow is doing your best today.”

Preparation Tips and Resources💡

To prepare, we must have a collection of good resources. As for data analyst at Capgemini, having knowledge of DBMS(Database Management Systems) and SQL(Structured Query Language) is very important. So, before other resources here, we have a short video providing some best free resources for learning the same.  

Hope the video is knowledgeable. Let’s have a look at the interview process. 

The interview process for a data analyst at Capgemini starts with resume shortlisting, followed by four other rounds

📌 Aptitude Test

📌 Coding MCQs focusing on data structures and C programming.

📌 Technical Interview

📌 HR round

To prepare for these interview rounds, here we have a few more resources for you 

Preparation plan

Also, prepare yourself with attractive answers to the below-mentioned questions:

  • The time you disagree with the team and how you dealt with that.
  • Explain a situation when you were leading a group.
  • In a situation where your client has unreasonable demands, how do you respond to them?
  • Where you take a leadership role formally or informally.
  • The time you were at risk for any particular challenging project. 

While giving your interview, just be relaxed and give answers calmly and confidently.

We wish you all the very best.🤗

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

Frequently Asked Questions

How can I become a Data Analyst at Capgemini?

By getting hands-on experience with various tools and frameworks for data collection, management, validation, and analysis. Also having teamwork abilities, creative and analytical thinking with good communication skills provides more remarkable progress.

What are the major skills required for becoming a data analyst?

This position requires analytical skills and knowledge of other data analysis frameworks and tools like SQL, Excel, Hive, PowerBI, Looker, Tableau, etc.

Does resume plays a vital role in selection?

As the first round for becoming a data analyst at Capgemini is resume shortlisting, it will create the first impression in the panelist's mind. So, having an eye-catching resume is very important for this job profile and for fetching any job.

How many rounds are there for data analyst at Capgemini?

There are 4 rounds after resume shortlisting, these are aptitude test, coding rounds having MCQ questions, technical interview and last one is HR interview. 

What is the average base salary of a Data Analyst at Capgemini in India?

The average base salary is ₹4,07,883/yr per year in India.


In this article, we have extensively discussed the details of becoming a data analyst at Capgemini. We have explored the salary and perks, skills required, roles, and responsibilities of a data analyst at Capgemini and discussed the preparation strategy to prepare yourself for securing this position. 

To know the difference between data analysts and data scientists, click here

Also, refer to other Capgemini blogs here:

Refer to our guided paths on Coding Ninjas Studio. Enroll in our courses like data analyticsdata sciencemachine learningDatabase management, etc. Refer to the mock test and problems available. Take a look at the interview experiences and interview bundle for placement preparations.

Thank you

If you found the article useful, please do upvote our blog to help other ninjas grow.

Happy Learning Ninja!🧡🙂

Previous article
Software Developer at Capgemini
Next article
Design Technologist at Capgemini
Live masterclass