Jeff Camm, Associate Dean of Business Analytics at the Wake Forest School of Business, has co-authored “The Recesssion’s Impact on Analytics and Data Science,” which has been published in MIT’s Sloan Management Review.
“Organizations are beginning to grapple with how the economic slowdown will influence investments they are making across the board. One question we wonder about is whether the demand for analytics and data science resources will remain heavy or slow down. You don’t have to look far to find evidence that the focus in this area has been strong: A 2017 report by IBM, for instance, predicted that the number of analytics and data science positions in the U.S. alone would increase by 364,000, to 2,729,000 by 2020. In 2019, LinkedIn ranked “data scientist” the No. 1 most promising job in the U.S. based on job openings, salary, and career advancement opportunities and reported a 56% rise in job openings for data scientists over the previous year. The exponential growth of data — and industry’s desire to use that data for better business outcomes — has been widely cited as a reason for the increasing demand for analytical talent.”