Big Data analytics is the process of gathering, managing, and analyzing large sets of data (Big Data) to uncover patterns and other useful information. These patterns are a minefield of information and analysing them provide several insights that can be used by organizations to make business decisions. This analysis is essential for large organizations like Facebook who manage over a billion users every day, and use the data collected to help provide a better user experience.

Similarly, LinkedIn provides its users with millions of personalized suggestions on a regular basis. LinkedIn does it with the help of components like HDFS features and MapReduce in Big Data Analytics. Big Data has thus become an indispensable part of technology and our lives; and big data analyses provides solutions that are quick and require reduced effort to generate. It is no wonder then that big data has spread like wild fire and so have the solutions for its analyses.

According to a recent McKinsey report the demand for ‘Big Data’ professionals could outpace the supply by 50 to 60 percent in the coming years, and U.S.-based companies will be looking to hire over 1.5 million managers and big data analysts with expertise on how big data can be applied. Big Data investments have also sky rocketed, with several top profile companies spending their resources on Big Data related research and hiring big data analysts to change their technology landscape.

An IBM listing states that the demand for data science and analytics is expected to grow from 3,64,000 to nearly 27,20,000 by 2020. According to a recent study done by Forrester, companies only analyze about 12% of the data at their disposal. 88% of the data is ignored, mainly due to the lack of analytics and repressive data silos. Imagine the market share of big data if all companies start analysing 100% of the data available to them. Hence the conclusion is that there is no time like now to start investing in a career in big data. It is paramount that developers upskill themselves with analytical skills and get ready to take a share of the big data career pie.

Benefits

Big data analytics certification is growing in demand and is most relevant in data science today than in other fields. The field of data analytics is new and there are not enough professionals with the right skills. Hence, the credibility of big data analytics certification promises many growth opportunities for organizations as well as individuals in the booming field of data science.

Many big companies like Google, Apple, Adobe, and so on are investing in Big Data. Let’s take a look at the benefits of Big Data that organizations and individuals are experiencing:

Benefits for Individuals
An individual with Big Data analytics skills can make decisions more effectively

• Based on the IBM survey, the Big Data analytics job market is expected to grow by 15% in the year 2020
• According to Glassdoor, Big Data Engineers are earning an average of $116,591 per annum
• An individual with Big Data skills can earn a better salary, good career growth, and more chances of getting hired by top companies
  

Benefits for Organizations

• Big Data allows organizations to understand consumer needs and make informed decisions
• Big data tools can identify efficient ways of doing business through sentiment analysis
• Businesses can get ahead of the competition by better understanding market conditions
• With Big Data Analytics, organizations understand ongoing trends and develop products accordingly.
  

How Much Does A Big Data Analyst Earn?

Salaries of Big Data Analysts across the globe

When the entire world is dependent on data, the Big Data Analyst profile plays a pivotal role in driving various businesses towards success. Now, let’s compare the salary of a Big Data Analyst in various countries in the following chart:
The above data can be compared more clearly through the following figure in order to compare the country-wise earning of a Big Data Analyst:

The above data can be compared more clearly through the following figure in order to compare the country-wise earning of a Big Data Analyst:

(Fig: 1)

The above figure shows us that a Big Data Analyst based in the US earns a higher salary compared to the counterparts based in India, UK, and Canada. Now, let’s try to compare the salary earned by the Big Data Analysts across the globe based on experience through the following chart:

Now, let’s try to analyze the above data with the help of the following figure:

(Fig: 2)

In Fig:2, we can draw a clear comparison between the experience-wise salary that a Big Data Analyst earns in India, USA, UK, and Canada. The figure makes it clear that the highest salary for the profile is earned in the US by the experienced Big Data Analysts. Moreover, the above chart further enables you to make a clear distinction between entry-level, mid-career and experienced Big Data Analyst.

Company-wise salary

So, that was about the salaries that a Big Data Analyst earns based on the location and experience. But the major question that arises here is, which are the companies that pay the highest salaries in the above countries. The following table will help you to check the salary paid by the top companies in India:

Fig: 1 & 2 give us a clear picture of the fact that the earning of a Big Data Analyst is more in the US compared to other nations. Now let’s take a look at the salary paid to Big Data Analysts by companies based in the US.

Now, let’s check out the salaries paid by companies to Big Data Analysts based in United Kingdoms.

The following table will help you to identify the salary paid by the companies based in Canada to the Big Data Analysts while enabling you to compare the same with the other countries:

TD

67,699

Scotiabank

59,938

Aimia

67,663

RBC

56,545

Rogers Communications

55,000

Project

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Creating Sentimental Analytics by Downloading the Tweets from Twitter and Feeds the trending data to the Application.

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