Top 5 Data Jobs you can consider

Hello data warriors!

If you are looking to make a career in data and you have gone through my workshop, (if you haven’t already, you can register for free with the link here)then you know how many jobs are waiting for you.

There are unlimited opportunities, and major companies are actively hiring data professionals.But if you are still at an initial stage of your job search, you might not be able to get a clear idea of which jobs to apply for.

So let me simplify it for you, and list out the top major data jobs available in the market, and how your resume should look for applying to these jobs.

Have a look!

Top 5 data jobs in the industry

1. Data Analyst:

The job of the data analyst is to make large data sets simple after analyzing and transforming complex data. They analyze web activities and related data to find relevant insights that are useful for business.

Data Analyst Qualifications 

• Expertise in domain knowledge is required.
• Knowledge of programming.
• Knowledge of data analysis tools.
• Understanding of Statistics and Machine Learning Algorithms. 
• Knowledge of data visualization tools.

Popular Employers: Capgemini, Accenture, Wipro, EY, TCS, etc

2. Data Scientist:

The role of a data scientist is more complex than that of a data analyst. Data scientists find strategic solutions to complex problems by analyzing, processing, and finding results. In a few cases, they also perform data preparation tasks. It helps them analyze data from roots and gives exact solutions as per data analysis. 

Data Scientists Qualifications 

To work as a data scientist, you must have an undergraduate or postgraduate degree in a relevant discipline, such as business information systems, computer science, economics, information management, mathematics, and statistics. At different levels, the course eligibility differs.

Sometimes you must have industry-specific experience, such as in retail, food, manufacturing, etc. 

Employers: All big employers and businesses require data scientists to get a desirable strategic solution for their businesses.

3. Data Engineers:

Data engineers develop ecosystems so that data analysts and scientists can perform their functions smoothly. Their work also includes updating the technologies and advancing in versions as per the latest technology. They give advanced workspace to other data functions to perform. They improve the efficiency of databases.

Qualifications required:

• Degree in computer engineering, mathematics, or other engineering disciplines with significant experience in programming.
• Master's degree or postgraduate degree in topics related to data science, big data, and/or DevOps, or, failing that, demonstrable experience in these topics.

Popular Employers: Big 4's, IBM, Wipro, Accenture, Capgemini, etc.

4. Database Administrator:

As the name suggests, this job role is self-explanatory. They ensure the efficient working of the databases of companies and regulate their access to or lack of access to employees. They also perform database backups and recoveries. 

Qualifications required:

Database administrators need at least a bachelor's degree in information science or computer science for most entry-level positions. Depending on the size and complexity of their company or governing body, these professionals may need a master's degree in database administration or information technology.

Employers: Depending on the size of the organization, each company needs data administration, so there are numerous jobs available with many employers in the market. 

5. Data Architect:

Data architects make new database systems to make efficient use of data and to make them easily accessible to data scientists. It is one of the highest paying jobs nowadays. The main goal of a data scientist is to make information easily accessible. 

Qualifications required :

The minimum qualification requirement is a bachelor's degree in either computer science, computer engineering, or a related field. The coursework should cover data management, programming, application design, big data development, systems analysis, and technology architecture.

Employers: EY, Eclinicalworks, Genpact, GE, Infosys, etc.

I hope this article will help you find the right career in the field of data and its scope. Reading the above would have added value to the idea of choosing the right career in data science. A career in data science is no doubt a high-paying and in-demand one. 

You'll typically need a degree in computer science, mathematics, or science-based subjects to work as a data scientist. For hands-on experience Go for certifications. 

Thankyou!