The new problems data analytics professionals face are prioritising the growing volume of work being sent their way, equipping their teams with the right skills, and building scale fast enough.
Even large organisations are discovering they have serious gaps in their approach — particularly in the skills and competencies of people outside their core analytics teams to access and analyse data in a meaningful way.
Many data science leaders say that getting the soft skills right is more important than ticking off a set of technical capabilities — which are more likely to be considered table stakes for employment.
Some argue there is merit in investing in the education of the business leaders who commission the work of the data science department
Data analysts are good for the curly, really tricky questions, but they’re not the ones who should be coming up with the questions