The Data Analytics Employment boom<\/title>\n<meta name=\"description\" content=\"They are not just for engineers and IT departments \u2014 analysts could come from just about anywhere. If you are interested in data and analytics, there are exciting career possibilities to explore.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/imarticus.org\/blog\/the-data-analytics-employment-boom\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The Data Analytics Employment boom\" \/>\n<meta property=\"og:description\" content=\"They are not just for engineers and IT departments \u2014 analysts could come from just about anywhere. 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{"id":20870,"date":"2015-07-25T06:09:53","date_gmt":"2015-07-25T06:09:53","guid":{"rendered":"https:\/\/staging-imarticus.kinsta.cloud\/?p=20870"},"modified":"2022-10-12T10:25:46","modified_gmt":"2022-10-12T10:25:46","slug":"the-data-analytics-employment-boom","status":"publish","type":"post","link":"https:\/\/imarticus.org\/blog\/the-data-analytics-employment-boom\/","title":{"rendered":"The Data Analytics Employment boom"},"content":{"rendered":"

They are not just for engineers and IT departments \u2014 analysts could come from just about anywhere
\nBig data has been constructively cast as \u201cthe new oil\u201d and held up as the economic counterbalance to America\u2019s sinking developed sector. As oil did at the beginning of the last century, big data is going to drive economies in the centuries ahead. But it may not do so in the way that many people think it will. This Oil is even more productive because it\u2019s a never ending fuel to the new horizons of IT industry brimming across the globe.
\n\u201cAdvances in software, interface designs, and things like that will make it easier to analyze big data in the future,\u201d says Dr. Betsy Page Sigman, a professor at Georgetown University\u2019s McDonough School of Business and an expert on technology and information systems. \u201cSo it won\u2019t be as big of a technological hurdle. The more important thing for companies will be to have a lot of people that understand not just how to produce statistics and analytics, but understand how to make better decisions because they have this information.\u201d Not just that, there is an emerging trend of data analytics<\/a><\/strong> positions in India, there is a boom in business analytics training<\/strong> across various cities likes Mumbai<\/a>, Bangalore<\/a> and various other metro cities as well.
\nPart of this shift will simply require the retooling of existing jobs, but there is also a new class of positions and skills emerging as well. Spohrer says, positions like \u201cchief data officer\u201d and other \u201cdata scientists, data researcher, data technology head\u201d that will become more common within existing companies, both large and small. These jobs won\u2019t necessarily be occupied by deep analytics-types, but\u00a0by non-data professionals\u00a0educated and experienced in their chosen industry while also skilled in the use of big data tools.
\nAs with oil, companies know data is out there in large quantities and that it\u2019s not enough to simply know where it is \u2014 it has to be extracted, refined, and delivered in a usable format to be valuable. And like the energy economy before it, the data economy needs dedicated people \u2014\u00a04.4 million of them by 2015\u00a0in the IT field alone, according to an oft-cited Gartner Research analysis.
\nBut here the similarities end. The oil patch has never had much trouble finding and training enough roughnecks to get oil out of the ground, but training up skilled big data professionals is a different enterprise entirely. In the U.S. alone, a McKinsey & Company report projects\u00a0a shortfall of between 140,000 and 190,000\u00a0\u201cdeep analytical\u201d big data professionals by 2018 \u2014 that is, people with highly technical skills in machine learning, statistics, and\/or computer science, the actual hands-on big data people that know how to crunch huge data sets into meaningful information.
\nAcademically, big data is playing a role in decidedly non-data disciplines, like some portions of the social sciences and humanities, says Jim Spohrer, computer scientist and director of IBM\u2019s Global University Relations Programs. It will increasingly become integral in medical research, various kinds of product development and modeling, and all types of research science. To remain competitive, companies will require professionals at all levels that fundamentally grasp big data concepts and know how to use them to their advantage. But what\u2019s often overlooked in this dim projection of the big data labor market is that the impact of big data on employment goes far deeper than the deep analytics and IT fields.\u00a0Companies need professionals\u00a0at all levels that are not necessarily schooled in deep analytics but are nonetheless big data-savvy. These professionals don\u2019t need degrees in computer science or statistics. It\u2019s been a general trend in India otherwise to acquire technical degrees of BE, B. Tech before any further advancement in skill development in any fields, let alone data Analytics. But data analytics training now suffices for a good beginning in Data related domain. But even if it is packaged along with a good degree and any other tags it can add to additional amount in any given package. A VP at management consulting and technology advisory outfit Booz Allen Hamilton recently told\u00a0Information Week that the company has had great success bringing physicists and music majors onto data science teams \u2014 creative thinkers who know less about computer science and more about how to look at big data problems in a different way. Though companies and economies will certainly need data scientists to manage their massive databases and information technology teams to support\u00a0them, to a far greater degree they\u2019ll need professionals knowledgeable and creative enough to leverage big data to the greatest possible advantage.<\/em>
\nAny employment bump tied to the proliferation of big data analytics won\u2019t be confined to IT departments or even to dedicated \u201cdata divisions\u201d that emerge within companies. And it isn\u2019t just big data specialists like data scientists and statisticians that stand to benefit from this boom. Big data opportunities are already being exploited in data-centered pursuits like risk management, marketing and research science, but the applications are virtually limitless. Existing companies will expand as they deploy more big data resources \u2014 both human and technological \u2014\u00a0to leverage big data\u00a0to their advantage. But the space to watch isn\u2019t necessarily existing companies reorganizing to embrace big data, but the emerging big data industry where deep analytical job growth is likely to make its biggest economic impacts. As with so many other specialized endeavors that fall outside the purview of core business \u2014 things like advertising and marketing, the latter of which is itself being completely transformed by big data analytics \u2014 many big data applications will be farmed out to outside contractors who specialize in big data analysis and problem solving, Sigman says. Scores of big data startups are already emerging (largely with the help of venture capital) to meet this demand, including MapR, ParStream, ScaleArc, and Cloudant. The ones who are able to best meet their customers\u2019 data analytics needs are poised to become home to many of those many millions jobs big data will generate over the next few years.
\nSource- Fortune & Investopedia
\nAnanya Pandey \u2013 Senior\u00a0Counselor, Imarticus Learning<\/p>\n","protected":false},"excerpt":{"rendered":"