It has been predicted that the United States will require nearly 2.7 million Data analysts along with Data scientists by the year 2020. Which shows that there is a high urgency for people to develop data science skills if they wish to become a part of the fascinating world of Big Data.

With Big Data becoming super useful for more and more companies, a requirement for Big Data Analytic professionals has come up who can comprehend large sets of data, reveal hidden patterns, and take insights from them. This can help organizations understand their business in a better manner and make more informed decisions.

This article is going to cover the primary reasons for beginning a career in Big Data.

Have a look.

  1. Easy to begin

Though, it is a common belief that you are required to be well-versed in diverse programming languages (such as Python, Java, and C) to become a Data Analyst, however, if you have a curious mind and like to come up with solutions to analytical issues, you can easily learn as well as specialize in the popular languages of today.

Many reputed institute are offering potent data science and big data analytics courses that can provide you with all the knowledge that you need to prove yourself as a capable Big Data specialist.

  1. The profession is too much in demand

Seventy-five percent of the IoT providers believe that Big Data Analytics is the most valuable expertise at this time but the sad part is that sixty-eight percent of them are having trouble finding people with the right skills.

You can imagine how simple it would be for you to get a job as a Big Data Analyst considering the fact that there are lots of job opportunities in the market.

  1. High Salary

In today’s world where all businesses have become data-driven, three out of five best paying technical jobs these days are related to analytics. So, with such a great demand for individuals knowing analytics, you can guess how much money you can make with a job in Big Data Analytics.

Just to give you some examples of the salaries of Big Data professionals – the median salary for a Data Architect is $122,000. For Data managers its $109,000 & $105,000 is what Data Engineers get.

  1. Opportunities coming from diverse industries & domains

Software firms that are involved in Data Management Analytics are being invested in by a variety of huge companies like IBM, Oracle Corporation, SAP, HP, EMC, AG, AND Dell. This has automatically enhanced the requirement for Information Management specialists over various types of industries & domains.

  1. Get to learn about famous Analytics tools and techniques

You just need to have a working knowledge of mathematics & statistics, your career in Big Data Analytics will give you the opportunity to increase your knowledge and add new skills to your resumes such as linear algebra, numerical analysis, real analysis, graph theory and applied statistics.

  1. Get to work with popular brand names

As we said that almost every organization is using data for growing their business, as a Big Data professional, you will find lots of companies to work for. From start-ups to prominent organizations like SAO, IBM, HP, Oracle, and Microsoft are seen hiring able Big Data specialists in large numbers.

Most well-established organizations prefer employing professionals with relevant certifications in data science as that proves their competence and comfort with solving data related problems. Certifications make you highly appealing to employers looking for young qualified Big Data Professionals.