By Steven Miller, IBM
In 2011, McKinsey published the report Big data: The next frontier for innovation, competition, and productivity which made significant workforce projections and said that by 2018 “140,000-190,000 more deep analytical talent positions, and 1.5 million more data-savvy managers are needed to take full advantage of big
Fig. The DSA acronym used expands to data Science & Analytics.
We had many questions, for example: what cities, what industries, which job roles were seeing strong data-savvy professional workforce growth?
Unsurprisingly, the two top hiring regions were the New York Metro and San Francisco & Silicon Valley. Rounding out the top 5 are Los Angeles, Chicago, and Washington DC. Top 3 industries are professional services, finance & insurance, and manufacturing. We had a hunch healthcare would in the top 3, but were proven wrong. Data-savvy job growth in health-care averages 6%, while the top 3 are all experiencing strong double digit growth. That said, there were some surprises. The fastest growing job skill overall in 2016, despite the industry itself seeing lower growth overall, was clinical data analyst which experienced 54% year to year growth as evidence driven decision making takes increasing hold in health care.
The top 7 fastest growing role data-savvy skills in 2016 were:
- Clinical data Analysis: +54%
- Data Science: +40%
- Quantitative data Analysis: +38%
- Data Visualization: +31%
- Data Engineering: +28%
- A/B Testing: +22%
- Machine Learning: +17%.
IBM projects that by 2020 the number of annual job openings for all data savvy professionals in the United States will increase by 364,000 openings to 2,720,000.
Original. Reposted with permission.
Bio: Steven Miller is Data Science and Engineering Thought Leader, keynote speaker and active member of IBM-wide developer outreach strategy team which led to city focused outreach strategy — go where the developers are.
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