Big Data Brings Big Demand for Analytical Skills
New York, NY (PRWEB) October 10, 2013 -- During September of 2013, more than 88,000 available jobs required “big data” analysis skills, according to WANTED Analytics™ (http://www.wantedanalytics.com), the leading source of real-time business intelligence for the talent marketplace. As companies collect more data, they are driving the need for data analysts that can understand the numbers and create actionable strategies. In September, the number of jobs that require data analytics skills sets increased 13% year-over-year compared to September 2012. The industries that had the most demand for “big data” skills were health and medical insurance carriers; colleges, universities, and professional schools; business support services; computer systems design services; and management consulting services.
Computer systems analyst, management analyst, and market research analyst occupations experienced the most demand in September, all 3 seeing year-over-year increases in hiring. The most commonly advertised data analysis job titles include:
1. Business Analyst
2. Data Analyst
3. Financial Analyst
4. Project Manager
5. Business Systems Analyst
With increasing hiring demand for “big data” skills, employers are likely to experience difficulty when recruiting for open jobs. The Hiring Scale™, which scores jobs from 1 to 99 based on their projected difficulty-to-recruit, scores these jobs at a 60 on average across the US. This means that most Recruiters are likely to experience difficulty sourcing candidates and a longer time-to-fill. Some metropolitan areas that score the highest on the Hiring Scale (meaning they are the hardest places to recruit this talent) are Tyler (Texas), San Francisco (California), and Fayetteville (Arkansas). These cities score over 70 on the Hiring Scale and average a 52-day posting period (or about 7.5 weeks.)
In comparison, the Hiring Scale also shows that the best places to find talent with data analysis skills are Binghamton (New York), Poughkeepsie (New York), and Longview (Texas). In these areas there are very few jobs available, yet the existing talent pools are large. The average posting period for these areas is just 40 days, almost 2 weeks shorter than the previously mentioned locations.
The Hiring Scale measures conditions in local job markets by comparing hiring demand and labor supply. The Hiring Scale is part of the WANTED Analytics platform that offers business intelligence for the talent marketplace.
To see additional charts and detail, please visit http://www.wantedanalytics.com/insight.
A free trial of WANTED Analytics is available at http://www.wantedanalytics.com/tryit.
About WANTED Analytics™
WANTED Analytics™ helps recruiting organizations make better decisions faster with real-time business intelligence on jobs, employers, and talent. Analytics brings together, for the first time, years of hiring demand and talent supply data to create a true talent intelligence platform for hard-to-fill positions.
Clients in the staffing, HR, RPO, media, and government sectors use WANTED Analytics™ to find sales leads, analyze employment trends, gather competitive intelligence, forecast economic conditions, and source hard-to-fill positions.
About WANTED Technologies Corporation
WANTED Technologies (TSX-V:WAN) provides real-time business intelligence for the talent marketplace. Founded in 1999, the company’s headquarters are in Quebec City, Canada, and it maintains a US-based subsidiary with primary offices in New York City. WANTED began collecting detailed Hiring Demand data in June 2005, and currently maintains a database of more than 900 million unique job listings. For more information or to sample WANTED’s services, visit http://www.wantedanalytics.com.
WANTED is also the exclusive data provider for The Conference Board Help Wanted OnLine Data Series®, the monthly economic indicator of Hiring Demand in the United States.
The TSX Venture Exchange does not accept responsibility for the adequacy or accuracy of this release. Any statement that appears prospective shall not be interpreted as such.
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Abby Lombardi, WANTED Technologies, http://www.wantedanalytics.com, +1 212-242-4703, [email protected]
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