Why Data Jobs Are Big for 2015

Big data is creating jobs

In this technology-driven age, there are vast amounts of data available. This information comes from multiple sources, including social media, blogs, financial information and product transactions. Just about anyone who conducts business is collecting data. Anything that goes on the Internet from an article to a survey to a tweet can be mined by analysts. According to George Lee, chief information officer of the investment banking division of Goldman Sachs, 90 percent of the world’s data has been created in the last two years.  This constant barrage of new information has created the need for big data jobs in the marketplace.

What is a data scientist?

Big data jobs have brought about the creation of a new player in the business game. Data scientists are tasked with making sense of all the information. They sift through the data to help companies gain new insights into what their customers want and how to expand their brand. They are looking for trends in the data that their companies receive. The ultimate goal of the data scientist is to find a new gem in the data that will provide a competitive advantage or address a serious issue.

Big data jobs are on the rise

Big data jobs are trending. Top business executives know the key to increased business can be discovered in the data. Finding qualified people to fill those roles is difficult and companies are willing to pay big salaries for top talent. According to Glassdoor, the national average salary for a data scientist is $118,709. Data scientists have formal training in computer sciences, modeling, analytics and math. They are inquisitive and have strong business acumen.  Earning potential is driven by the number of data tools that an analyst knows how to use.

Big data is changing business

Big data is changing the way companies do business. Big data jobs are in demand. Top executives are looking for highly qualified, well-rounded data scientists to find trends that can drive the company forward. Successful data analysts and scientists can work through the data using multiple sources and reveal how their companies can draw and profit from the data.

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