Big Data Jobs Trends 2016 by @alfredosahagun for @3nglishOnline

Big Data Job Market Types of jobs in the big data field. At the beginning of last year 2015, according to Forbes The Hiring Scale for Jobs that require Big Data skills was of 76 point out of 100 being the highest of the Hiring Scale score, where it´s the most difficult for companies to discover the accurate candidates for their needs. A recent study at the end of 2015 result from Wanted Analytics, leader data provider resulted in four main areas of opportunity within the Big Data Industry, these skill sets are: Acquisition of Data, Mining of Data, Structuring of Data and Analysis of Data. This taxonomy comprised by workplace analytics leader Wanted Analytics, is normal terminology today in the industry. Wanted Analytics is acquiring work related data for some time now; a database of far more than a billion job listings testifies it. Its objective is to collect and analyze hiring trends, now it`s present in more than 150 countries worldwide. The National Job Posting Average that is opened to fill a cloud computing expertise IT professional is 47 days. Ever accelerating thus far, and particularly for the last couple of years and months, demand for big data skills through many career choices or jobs have grown loads over the past few years, is likely to still grow even more. In January 2015 according to the study as printed in Forbes Magazine the hiring data was already as this: • The most required, in first place with, 25% of Required Big data skills positions was for Software Developers of Applications, it had already grown and half-double just within that same year. • The second most required skills set or profession was and still is: Computer Systems Architects or Computer Engineers, accounting for 10% of wanted big data jobs; which half-double within a year too. • In third place, Marketing Managers, with a large 7% of the pie of hired big data jobs and accelerating even faster than the two previous jobs, with 85% increase in demand in a year. • As well as the four need skill profession, which is: Computer Systems Analysts, coming up in demand almost doubling from the previous year with 90% increase, and 5% share quota of the demanded big data jobs pie. • Fifth, Marketing and Market Research Specialists and Analysts also 5% approximately, and growing in demand by 50% half-doubled too within that year. • Unlike the Sixth, Management Analysts at roughly 4%, which went down by 12% in demand. • The positions with a 3% of Market Quota are: Web Developers, Network Administrator and IT Research Scientist. • All in the rise, but also watch out specially for IT Project Managers which tough still account for less than 4% demanded jobs of the big data world, it grew a whole 123,60% in just one year. Most (3 quarters) of the Industries looking for big data professionals look in the following 5 areas. First, The Professional, Scientific and Technical Services with 27.14%, Second, the Information Technologies Sector with 18.89%, Third, the Manufacturing with 12.35%, Fourth, the Retail Trade with 9.62% and Fifth, Sustainability, Waste Management & Remediation Services at 8.20% are the industries with the most job openings requiring big data expertise. All the other industries added up account for the remaining 25% to total the big data tech services demanded. This pie chart displays the open positions for the beginning of January 2015: • Over $100,000 a year is the median salary for professionals with big data expertise! Other sample jobs in this category can include: Big Data Solution Architect, Linux Systems and Big Data Engineer, Big Data Platform Engineer, Lead Software Engineer and Big Data (Java, Hadoop, SQL). Big Data Jobs Salaries The distribution of salaries is quite high, perhaps not as exuberant as hedge funds financial investors, but it doesn’t have any risk to research, learn and become expert in these fields of technology. • The worse 10% of Big Data Jobs makes 70.000$ and the 25th percentile is at 85.000$ approximately. • The Big Data Job Market Median Salary or average pay is just over 100.000$. • And the 75th percentile of salaries goes well over 120.000$ packet per year. • Finally the best 10% jobs in Big data earn more than 140.000$. In truth IT Professional Salaries, whether involve in the IM Tech or In the IB commercial area of the Bid Data Companies have been doing good in the salary range for years, Since year 2012 results aren´t much different. The average business staff base salary is just below the US$ 100.000 whereas the business management salary is over $120,000. Technical Knowledge salaries can be better, with data integration/data warehousing salaries at around $100,000 for staff and well over $120,000 for managers. Beware that the gap between staff salaries and management salaries has indeed widened tough. The right Human Resources powers up the Company, as well as its development, for some time now, in every leading industry as it´s the tech industry now, there's a fight to find, convince, attract and keep outstanding IT Candidate professionals with business intelligence and information management. It´s a well-known fact that within the Bid Data Industry the Talent Gap was been widening from the different of talents with clear BI analytics, and other more directed towards the IM version as noted in the InformationWeek IT Salary Survey. That´s regards the average salaries but what about those BI, and IM outstanding talents at the uppermost part of the pay scales, for CEO and those Consultant, Advisor who can tell the board of Companies what will occur next. A generation gap is emerging within BI and information management workforce. The young generation is pouring ideas, predictive insights and it constantly forward-looking. Normally they are great mathematicians, statisticians who are knowledgeable in programming and know about data modeling. The young next generation, according to a survey by Accenture technologies are close enough to the technology, so that they are familiar with the different algorithms to use with the right data. As created data grows in the five V´s volume, variety, velocity, veracity and value, the big data grows deeper and deeper and more accurate predictive models insights are needed, therefore the best jobs go to those who are updated in Open Source emerging big- databases such as NoSQL and Hadoop platforms. In general database professional are changing organizations in aiding them to put in order their information, draw better conclusions and to put more and more information into work, with the objective of mire efficiency. Big Data Job Locations Usually big data positions are in the Washington (Alexandria and Arlington), in California (Santa Clara, San Jose, San Francisco, Sunnyvale, Oakland and Fremont. Especially on the West Coast in the south areas (California and New Mexico) and on the north like Seattle, Portland and Vancouver (Canada). And on the East coast we have the highest Big Data Jobs concentration also in the north area surrounding Delaware, Arlington (Washington), around NYC and New Jersey, and Boston Massachusetts specially. Candidate Competition It's would be great to find a way out to know who's prepared to lead the big-data initiatives of the future and the areas that will need to be developed. Usually the number of well-prepared candidates oscillates for dense locations as NY around 27.000, or lesser places with less than 10.000 candidates. These are: The places with the highest job volume are the San Jose – Sun Valley - Santa Clara with more than 2.700 places for Bid Data professionals. In second and third place with just above 2000 jobs are: San Francisco – Oakland – Freemont area and Washington-Arlington-Alexandria area. In fourth place there´s New York, Northern New Jersey, Long Island with more than 1500 big data positions. The Boston – Quincy – Cambridge zone has 1200 jobs and the Seattle, Tacoma, Belleview just below 1100. Then Dallas, Forth worth Texas has around 700 jobs, as the Chicago – Naperville area. Then Long Angeles – Long Beach and finally the Raleigh North Carolina have just over 500 positions. There´re more places with less than 500 jobs offer which don´t account for as many as to be specified here. Which Companies demand more Big Data Positions. Though large renowned companies that account for 5.30% of the Big Data Job Employment such as IBM (International/Intelligent Business Machines) and INUIT INC. with 3.60% of the total big-data-related employment have reduced their number of required Big Data related skills by 525 and 240 positions. All other main Big Data Employers for the beginning of last year 2015 were: CISCO with 5.70% of the total big-data-related employment, with 3.600 more jobs in a year, and Oracle with 3.60% employed, with 2250 new employees and then there are those companies that account for almost 2% of big-data-related employment as Amazon, EMC Corporation, CRGT Inc, Teradata, Sabre and Noblis. Skills Demanded on the Rise Most Demanded Skill Sets in Big Data with a rough percentage of skill-need are in order Preference: Java 6,60%, SQL 5.80%, Apache Hadoop 5,50%, Software Development 4,70%, Linux 4,10%, Python 4%, NoSQL 2,74%, Data Warehousing 2,73%, UNIV 2,43% and Software as a Service 2,38%. There are many others with less demand. A recent study, from source InformationWeek. State of IT. Staffing Survey, has revealed that during the next couple of years big data and analytics will be a top hiring priority for companies, almost half of big-data related companies have been the recent years increasing staffing in all-big-data-related-areas by a minimum of 10% and up to more than 100%. Unluckily more than half of all IT companies agree that it will be hard to find good big-data analytics expert candidates soon. This is called the expertise Gap that´s currently being broadening. The IT leaders will answer this contingency by a strategy of 4 four main actions: the hiring of new employees certainly (here there technical, retraining of existing people, hiring of temporary employees and contracting of consultants to fill the gap. This isn´t the only concerning developing gap in the industry, there´s clearly a technical gap as well. Here are some of the most looked for Job-Expertise by Companies demanding Big Data-related Technical Skill Sets: JOBS DEMANDED ON THE RISE: Information Technology Project Managers There was a 123.60% jump in demand for Information Technology Project Managers with big data expertise, and an 89.8% increase for Computer Systems Analysts. The following table provides an overview of the distribution of open positions by occupation and the percentage growth in job demand over time. Python Programmers In year 2015 the demand for Python programming expertise increased 96.9% in big-data related positions in the last twelve months. Computer Systems Analysts Demand for Computer Systems Analysts with big data expertise increased 89.9% in the last twelve months. Computer and Information Research Scientists Demand for Computer and Information Research Scientists rose 85.40% within a year. Analytics experts Remember from the 4 big data area (data acquisition, management-processing, storing and this last one Analytics seems to be the most In-vogue for IT and non IT companies. In fact 53% of big data-focused companies say will be tough to find experienced and trained Analytics Experts for the upcoming years. Big Data IT Staffing´s report offers some instructions for how to look for the right talent. IT frontrunners not only plan to borrow, or take borrowed talent but also now mostly to train them, here are some tips of what job candidates should ought to do to stay on top of their hiring game: Firstly, as an incentive for employees to further enhance their education, retrain or broaden it, therefore it should be instituted tuition-reimbursement programs for IT and Tech educational opportunities related to the company´s aim. Secondly, have existing employees attend continuous education ops, conferences, seminars, webinars, online or not courses and classes for their training. Where to find talent For large companies it would be a good idea to open a shop near the IT Universities, as much of them already do, but a smaller growing online business requiring better big data bachelors and experienced professionals might want to open a branch near these communities to ensure being able to draw upon the best of these college and schools. As is the area of California, Santa Ana, Palo Alto, Silicon Valley and others. Just go near where the talent is. How to reduce the Widening Talent Gap and Salary Gap When it´s time to rethink how to improve existing talent, specially the less qualified. By building teams, structure based on projects to mix different functions but also structure of teams by expertise or groups based to share knowledge. Many companies have analytics experts, but their work is often secretive and limited to areas as research and development, whereas mixing in teams with new apprentices or interdisciplinary business can be a great opportunity for company´s growth. Enrolling in Academic Big Data Analytics programs is a way to solve the difference of IM to BI analytics. Analytics have been a major big data topic the last years, many universities have focus programs on these aspects and produce graduates with high degree of advanced IT and Big Data knowledge. The most recognized newly established degree programs are at Northwestern University, North Carolina State University, the University of Alabama., Oklahoma State, Georgia Tech, MIT, Texas Tech, California State University and the University of Connecticut. A more hand-on manufacturing, practical learning with the use of machines can be obtained from California Polytechnic State University in San Luis Obispo, Carnegie Mellon and the University of California at Berkeley. Our sixth and seventh tips relate to the skills you should look for and the corporate culture you should cultivate as a would-be employer. The advice cuts both ways if you're a would-be big data analytics employee; read on to consider our detailed advice on what skills to build and the type of environment where you might feel at home. As a conclusion, government agencies and businesses nowadays are relaying on big data and their data-driven results, and in turn this has increased the demand for analytics and information management expertise, the industry, its insights and salaries of its many jobs are in the rise. __ By Economist @AlfredoSahagun for @3nglishOnline Content Writers and @EnglishxSpanish translation Services. On Apri 16th, 2016.