The global analytics talent shortage makes creating a well-rounded data science department a daunting task. Personalities collide, skill sets vary and a traditional interview is not always an accurate determination of whether a professional will fit the position.
Talent Analytics CEO Greta Roberts said that’s why she turned an analytical lens back on data scientists to measure important characteristics found in the successful professionals in the field.
Roberts said the 2012 Analytics Professionals Study, which will be available in full in December, will help businesses understand and value the essential data science skills and traits in their employees and recruits.
In part one of this interview with Data Informed Staff Writer Ian B. Murphy, Roberts discusses some of the pieces of the study: how to build an analytics team, what characteristics to look for in prospect, and how to make connections with leading analytics university programs. (Podcast running time: 13:59)
For related articles from our archives, see the following:
- Rethink your organizational chart for analytics teams.
- Building an analytical culture for big data.
- Assembling a big data team.