Seven Reasons to Begin a Career in Big Data

The growth of businesses across the planet have allowed integration of technology into the business environment which has allowed data science to grow immensely in terms of popularity. As such, there has been a huge rise in the demand for data science professionals who show the drive and skill to thrive in the industry and assist in taking it forward into a new future. Here are seven reasons to start a career in Big Data.

1. Shortage of Industry Expertise

According to the International Data Corporation, there has been a massive surge in the demand for data science professionals across the globe- experienced professionals who bring analytical expertise to their organizations. With over 180,000 professionals needed already, the need for skilled professionals has been projected to grow to about five times that number. With huge growth margins upwards of $46.34 billion dollars, the next five years look to be some of the most formative years for the industry, and there is a need for eager subject matter experts

2. The IoT and Big Data

As far as growth goes, inter connectivity has never been more powerful than it is today, and the Internet of Things is looking to be realized very quickly. The scope of interaction through machine to machine data exchange across secure platforms has experienced an explosion in its utilities.

Spreadsheets are not what data will look like in the coming years- there are various kinds of databases and platforms being developed that facilitate a wide range of activity within our daily lives. This, however, requires a great deal of development first as much of the data will be unstructured and there is a need for professionals with the expertise to manage this data effectively and develop platforms and systems to allow others to do the same. There is a need for investment in the analytical abilities of global organizations, and how they utilize their data for actionable insights.

3. World Class Educational Options

Perhaps the best part about switching to a career in Big Data requires professionals to have educational foundations in already established subjects such as computer science, economics, statistics, etc. alongside the support of a booming certification community within the professional environment, thus negating the need for education from a high priced college to display competency. This is because of the huge scope in the applications of big data- it is highly sought after expertise which can be applicable across multiple verticals. Some of the best data science certifications in the world provide their programs internationally or even online portal for e-learning. The thriving ecosystem of certification bodies has become something of a mainstay in the industry and it is a core aspect of its growth and wide acceptance across the globe. It allows building on careers in big data to be a streamlined, structured process which provides expertise according to the needs of the professional.

4. Impressive Pay Scale

The earning potential in the Big Data industry has skyrocketed over the last few years. A professional with the right set of skills can ask a salary that far exceeds many IT oriented roles, alongside providing strategic insights to grow businesses and minimize risks. The estimated annual income of a data science professional averages at about $114,000, with phenomenal scope for growth and diversification.

5. Fast Growth Trajectory

Professionals are able to grow their careers at a much faster pace in the current environment that the industry is in, due to the huge number of openings across all its associated verticals. Talented individuals who provide world class expertise and tangible benefits for the company will find that their rise through the organization will be arrow-swift. Along with this, the professionals with largest potential find themselves diversifying and preparing for what comes in the future for the industry. Professionals with the vision and skill to capitalize upon innovations will pave their own way to success in the industry.

6. Professional Satisfaction

Data science is not an industry where the “rinse-and-repeat” approach works, and to consistently provide actionable insight, data scientists must engage in qualitative endeavors to decipher the accurate context of a given business challenge or situation. Merit based advancement is very common in the industry, with each insight providing a veritable pool of data to verify and fall back upon to provide relevant information about the business and its processes. As such, it has long lasting effects on the development of the company and this has positive impact upon the professional’s morale, in the form of meaningful work, scope to innovate and receive adequate compensation for the same.

7. Many Verticals

Big data’s interdisciplinary nature allows itself to be applicable across several verticals, making it one of the most diverse professions on the planet, with huge scope to diversify into other industries. After obtaining the necessary education, professionals will find many job roles that require their expertise. Some examples include business analyst analytics engineer, big data engineer, Hadoop developer, Machine Learning Specialists, IT security analysts, business managers, etc.

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