Mr. Vashishta’s is perfectly correct in his article for Fast Company “What If The Data Science “Skills Gap” Is Just A Hiring Hot Mess?”.
Specifically his formula, Platforms + Business Problems = Required Skills could unlock a pool of candidates.
Hire that graduate out of university with mad math skills and they will crunch and crunch, build data sets, dashboards and what insights will be drawn. Not much.
But like Vin states find a candidate solved the business problem on the same or a similar platform before? You likely have a person like that if not in IT, then see who is solving business problems with data in accounting or marketing. Customer Service is another hot area for those data technology savvy folks.
Ask those candidates whether internal who know your business and processes best or outside candidates from similar industries and ask them as Mr. Vashishta would to tell you the problems, their platforms, and their data.
Your need deeper analytics to stay competitive to find new markets, strengthen customer retention and identify new opportunities. The heavy math you can rent, but the experience and knowledge of what questions to ask and provide the measure of confidence in the accuracy/quality of existing data.
You have to look past the hyped job description of the role you need and what candidates current titles are now to what their skills fully are capable of doing to uncover the talents that are already there or nearby.