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Reasons why Data Science is the Hottest Career Right Now

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Big Data is everywhere as it has engulfed all domains around us. Organizations need to collect and preserve whatever data they generate as they are scared of missing out on something important. A massive amount of data is floating around us and what we do with it is all that matters right now. Hence, big data analytics is in the frontiers of IT. Big data analytics is crucial as it improves business, decision makings and provides the decisive edge over the competitors. It applies to organizations and professionals in the analytics domain as professionals skilled in data science have an ocean of opportunities. 

Why is Big Data Analytics the Best Career for you?

If you are still not convinced that big data analytics is the hottest career right now, here are five reasons for you to understand the big picture and join a Big Data Training Institute to start your career

  • Companies are facing challenges in Organizing Data: 

The IT boom of the late 1990s and early 2000s saw organizations focusing on lifting and shifting offline business processes into automated computer systems. The following two decades went a step further and have brought drastic changes in data collection and storage. The consistent electronic content creation, transactional data generation, and streams of data logs have resulted in every organization sitting on a pile of data. The massive amount of data is of immense value. But organizations don’t know how to tap the data effectively. Glassdoor’s recently released report reflects the need for systematic data analysis as it highlights the 50 best jobs in recent times. Unsurprisingly, data scientist jobs top the table for the second year in a row with a score of 4.8/ 5.

  • Salary Aspects: 

The strong demand for data analytics skills has enhanced the payscale for qualified professionals. 

The Institute of Analytics Professionals of Australia (IAPA) published the Skills and Salary Survey Report in 2015. It stated that a data analysts’ annual median salary is $130,000, which is four percent more than last year. 

According to Randstad, the annual pay hikes for Analytics professionals in India are 50% more than other IT professionals. Meanwhile, The Indian Analytics Industry Salary Trend Report by Great Lakes Institute of Management revealed that the average salaries for analytics professionals in India were up by 21% in 2015 compared with 2014 and 14% of all analytics professionals earn more than Rs. 15 lakh per annum.

The salary trend for Big Data Analytics in the UK also indicates positive growth. A quick search on reveals a median salary of £62,500 in early 2016 for Big Data Analytics jobs. It was £55,000 in 2015.

  • The democratization of Data Scientists: 

Data scientists’ need has gone beyond tech giants. The Harvard Business Review had reported long back that organizations in the top third of their industry in using data-driven decision making were, on average, 5% more productive and 6% more profitable than their competitors. The benefits of data science have led even mid to small startups to join the bandwagon and embrace data scientists. Many smaller firms hire entry-level data scientists at decent pay. The system works well for both as the scientist gets a real-life surrounding to improve his/ her skills while the organization can afford to pay less than what it otherwise would have to.

  • Low Entry Barriers for Existing Professionals:

Data science is still a relatively new field. Hence, it allows entry to various professionals from a plethora of backgrounds. A look at the current crop of data scientists will reveal that most of them come from mathematics/statistics, computer science, engineering, and natural science backgrounds. Some data scientists also have degrees in economics, social science, and business. The critical requirement for entering the data science field is to foster a problem-solving spirit and gain required skills through online or formal courses. Hence, existing professionals can easily make a career in data science irrespective of their earlier education or existing skill-sets. 

  • Numerous Choices in Job Titles and Type of Analytics :

The data science field offers plenty of options to professionals to choose their specialization, unlike a few other domains. In terms of job title and nature of the job, the data science field offers plenty of options. 

A professional can become a big data analytics business consultant, a big data analytics architect, a big data engineer, or even a big data solution architect. 

A career in big data analytics has enormous depth, and one can choose from three types of data analytics based on the big data environment. Prescriptive analytics, Predictive Analytics, and descriptive Analytics are the three types of data analytics.