According to a Business Higher Education Forum (BHEF) and Gallup report, 59% of employers said that this year, data science and analytics skills will be required of all their finance and accounting managers; 51% said they will be required of all marketing and sales managers; 49% said they will be required of all executive leaders; and 48% said they will be required of all operations managers.
The report also notes that this year, there will be approximately three million new data science and analytics jobs posted—with less than a quarter of all college graduates on track to have data and analytics-related skills.
Adapting to the Future of Work
Make no mistake: in-demand talent won’t be limited to the data and analytics skills we’re familiar with today. The World Economic Forum's Future of Jobs report predicts that as many as 133 million new roles will emerge related to the division of labor between humans, machines, and algorithms. These include AI and machine learning specialists, big data specialists, information security specialists, and process automation specialists.
These are roles which will require either additional hiring or significant reskilling and upskilling, notes the World Economic Foundation, which predicts that by 2022, more than half of all employees will need new skills and training to adapt to the future of work.
In 2020, enterprise organizations should put together a plan not only for recruiting and retaining data and analytics talent—but also one for educating, reskilling, and upskilling current employees to create talent in-house as the need for data-driven skills and decision making grows.
Want to read more on this and other analytics trends? Download 10 Enterprise Analytics Trends to Watch in 2020 to get insights from Constellation Research, IDC, Forrester, Ventana Research, and other key analysts and influencers.