SKILLS THAT PAY
Citi GPS’s thought leadership report leveraged LinkUp job listing data to analyze the evolution of skills in the job market across all major sectors between the periods of 2014-2015 & 2018-2020.
What emerges in their “Skills That Pay” report is a compelling picture of the most valuable candidate in the job market of the near future, one defined by a combination of the skills required to adapt and drive innovation on ever-shifting technological ground.
Citi scrubbed job ads curated by LinkUp for the skills most frequently referenced in listings. The more often a given skill was referenced, the more important it was deemed. Linking the listings to wage data, the analysts determined which skills garner the highest pay.
The analysis identifies the nine skills most in-demand: seven “cognitive skills” including machine learning and research, and two “soft” ones: “interpersonal & organized” and “collaborative leadership.”
RISE OF THE COLLABORATIVE LEADER
Cognitive skills will always be essential in an increasingly complex landscape of tech and quantitative analysis, and no doubt the highest wage increases over the period of 2018-2020 accrued to workers with skills in machine learning and math.
But the less expected finding of Citi’s report is the ascendancy of soft skills in the era of automation, particularly of collaborative leadership.
A collaborative leader is one who can think strategically and creatively, and importantly, who fosters an environment of inclusivity: a condition proven to motivate workers and drive innovation. Jobs requiring the social skills of collaborative leadership are less likely to be automated as the nuances of the skill can’t be broken down into discrete tasks.
TWO SKILLS ARE BETTER THAN ONE
The most valuable worker of all though–in demand and wage premium–is one with a combined arsenal of soft and cognitive skills, notably collaborative leadership and research capabilities. These professionals will be able to lead their organizations through periods of rapid change and encourage the continual learning required to adapt.
That’s another key finding of the report: because the field of data science is “constantly evolving,” the most in-demand and highest paid workers will be those “constantly invested in continuous upskilling.” Collaborative leaders with a capacity for quant analysis will be the catalysts for upskilling across industries.