A big data talent shortage looms large, and until more workers are educated to meet the demand, nothing can save us from going over the talent cliff.
Technology research and advisory company Gartner reports that big data will drive $34 billion of IT spending in 2013. Gartner’s Peter Sondergaard, global head of research, further predicts that by 2015, 4.4 million IT jobs will be created globally to support big data. Of these, 1.9 million will be in the United States.
But wait, more jobs! Gartner says every big data-related role in the U.S. will create employment for three more people outside of IT, for a total of 6 million jobs in the information economy over the next four years. However, the firm predicts only one-third of these jobs will be filled because there is not enough talent in the industry to support these demands.
Prepare your organization to meet these demands by:
- – Focusing on opportunities to hire entry-level talent from mathematical, statistical or quantitative areas of study.
- – Cross-training current employees with strong analytical abilities.
- – Sponsoring practical training and work visas for international workers.
- – Considering flexible work arrangements, including remote workers or consultants to meet demand.
- – Setting reasonable expectations for job requirements. Every job description has some give and take. Make sure to identify the most important skills needed and provide training to fill in gaps.
- – Identifying recruiting partners to help you hire key positions.
In addition, make sure you are properly acknowledging and compensating the work of your current employees. One job change motivator for data analytics professionals is expressed in this sentiment: “I’ve spent months on analysis, and yet the company fails to act upon my recommendations.” Data analytics professionals want to see the impact they are making to the company’s operations and customers. Show your employees how their contributions impact business decisions.
Please contact OnBoard Recruitment if we can help your organization hire big data and analytical talent.