Ep 358: Data & Analytics Skills
As digital transformation accelerates even faster, the market for data analysts, data scientists and data engineers continues to grow exponentially. So how do employers make sense of this talent market to hire the right skills for their business, and can data science be applied to the process itself to drive better outcomes?\n\nMy guest this week is Tim Freestone from Alooba, a company that is helping to answer these questions and change the way data and analytics skills are assessed. Our discussion is extensive, and Tim shares some valuable insights relevant not just to recruiting data professionals but also broader talent acquisition strategies.\n\nIn the interview, we discuss:\n\n\xa0\xa0\xa0\u25aa\xa0\xa0\xa0Job definitions in data science and the current state of the talent market\n\n\xa0\xa0\xa0\u25aa\xa0\xa0\xa0Issues with traditional recruiting processes\n\n\xa0\xa0\xa0\u25aa\xa0\xa0\xa0Why the CV is a poor quality data set\n\n\xa0\xa0\xa0\u25aa\xa0\xa0\xa0Generating structured data around skills\n\n\xa0\xa0\xa0\u25aa\xa0\xa0\xa0Removing unconscious bias\n\n\xa0\xa0\xa0\u25aa\xa0\xa0\xa0Pragmatic analytics, automating repeatable tasks and human intelligence\n\n\xa0\xa0\xa0\u25aa\xa0\xa0\xa0How will recruiting evolve in the next 3 to 5 years?\n\n\nListen to this podcast in Apple Podcasts.