Big Data and its analysis have been with us for decades. However, it is still considered an underexplored field, which generates, among university students and professionals seeking specialization, some uncertainty about whether careers related to Big Data are the right choice.
At this point, it is evident that the internet continues to take up more and more space in people’s lives, and its omnipresence positions Big Data Analysis, and in general any profession related to technology, as one of the careers to study in the coming years.
Undoubtedly, no organization will resist applying data analysis in its business and innovation strategies because it constitutes a formula for success that offers greater advantages and fewer possibilities of failure.
Currently, the collection, preservation, and analysis of data for various purposes have become an urgency. Therefore, every day the demand for specialists who know how to extract, preserve, and interpret data is greater, given the dependence on these key data to improve business, make decisions, and provide competitive advantages.
For these experts or future Big Data experts, opportunities are numerous, and the diversity of profiles demanded by the area guarantees finding the ideal niche.
Imagine being the person in your organization everyone turns to when it comes to discovering new trends, patterns, and making decisions.
What is Big Data?
Currently, companies, regardless of the industry in which they operate, generate a massive amount of data that requires storage, processing, and classification to allow it to be studied and analyzed according to the needs and demands of the company.
The purpose is to access available and valuable data that can be transformed into knowledge and put at the service of the interests of a specific sector or problem.
Data analysis is not only timely for companies. The health sector benefits when, thanks to the configuration of health patterns and data science, lives can be saved, more effective treatments can be applied, or the world can be saved from a pandemic.
The application of Big Data is innumerable and impacts human well-being.
The academic and professional offer in Big Data is diverse because it is an interdiscipline that combines technical and computational skills with business and management knowledge to lead changes based on knowledge and business intelligence.
In this post, we share seven reasons why studying and choosing the professional path of data science and Big Data is a smart decision:
1. Future-oriented specialization:
Considering that a university career lasts between 2-5 years depending on whether it is an undergraduate degree or a specialization, it is convenient to consider a profession with a high profile for the future.
Big Data and its applications are not a matter of fashion, but will be fundamental for the future, no matter the area or professional path you choose. For this reason, it is undoubtedly a wise bet to think about studying today what is estimated to be a highly demanded career and an immensely lucrative industrial and knowledge sector in the future.
Anyone who considers studying data analysis today is building solid foundations for their positioning and professional success.
Knowledge such as artificial intelligence, machine learning, business intelligence, and any other good companion of technology associated with Big Data are valuable domains that yield good results for those who master them.
Imagine your resume adorned with some of these highly attractive competencies for the job market.
2. Contributes to the development of society
Data science can make the world a better place. The creativity and intelligence of data experts allow reaching conclusions and solving problems in innovative and effective ways.
Put at the service of humanity, we are talking about mathematical and predictive models to reduce the pollution footprint associated with people’s consumption, the spread of viruses and contagious diseases (e.g., Covid-19 case and contact tracing), predict climate changes, school dropout, etc.; with the purpose of developing strategies to solve these problems.
3. Great employment opportunities
With the increase in the use of data science and technologies associated with Big Data, the demand for professionals to fill the positions being created and the necessary vacancies will increase in parallel. Data without the ability to analyze it is useless, and that’s where the role of the Big Data expert shines.
The Department of Labor Statistics in the United States predicted that the demand for Big Data-related positions will grow by 12% by 2028. Currently, recruitment companies report an increase in Big Data demand compared to previous years, and the trend will undoubtedly persist.
4. Good salary
Considering the high demand and low supply of Big Data professionals worldwide, the salary of these professionals is very well rewarded. Those who work in Big Data, depending on their expertise, knowledge, professionalization, position, and sector, will earn salaries even higher than $200,000 annually.
An article from Northeastern University in Illinois, United States, lists salaries according to the Big Data profile:
- Big Data Engineer: $130,000-$222,000 annually.
- Data Architect: $119,750-$193,500
- DataWarehouse Manager: $80,000-$160,250
- Database Manager: $111,250-$186,500
- Business Intelligence Analyst: $87,500-$185,500
- Data Scientist: $105,750-$180,250
- Data Modeler: $80,750-$170,000
- Database Developer: $101,250-$172,750
- Database Administrator: $79,250-$160,500
Data Analyst: $83,750-$142,500
5. Represents great and real opportunities for independent work (freelancer)
Data Analysis work can be done from a connected computer, anywhere in the world. Therefore, the opportunities to work remotely as a consultant or associated worker are high, and it is, in fact, the way many Data Analysis specialists are already doing it. This flexibility offered by working with data does not oblige you to be tied to a desk or even to have a single employer.
As we told you, with high demand and low supply, it is common for a data specialist to offer their services autonomously and provide them to several clients simultaneously. It is normal for people to increasingly seek ways to diversify income sources and methods that offer a work-life balance.
When working with numbers, databases, cloud-stored information, trends, and many graphics, you will only require a powerful computer, the necessary systems and programs, and your knowledge to be a Big Data freelancer.
6. Development of innovative and disruptive technological skills
Undoubtedly, being a career highly dependent on technology, statistical and mathematical models, data design and visualization programs, and software development and engineering, the Big Data career will provide those who pursue it with highly valued knowledge that is not available to everyone. It is a training for professional practice. So it will not only be theories and long monologues without practical application. Rather, it is practical and required knowledge. The professional with a specialization in Big Data will be more than capable not only of managing innovative technology but also of creating it.
7. The best of both worlds: technology and management
Big Data programs provide content associated with practice, but also linked to business. Thus, not only is a professional specializing in data management, storage, and processing trained, but also a manager, a professional profile who knows how these data should be interpreted and used to make decisions and gain competitiveness in the industry.
It is a complete profile that combines the best of the world of technology and the world of business, required for managerial and technical positions at high levels of organizations.
Study a Master’s in Big Data and grow professionally
If for all these reasons you are interested in training or focusing your career on Big Data, we have a program developed precisely to train you as a manager with data-centric analysis and decision-making capabilities and a competent data technician.