Not long ago, the role of Data Scientist was what most companies wanted to discuss with me in terms of the roles they needed to understand and add to their organizations. Then, the role of the Data Engineer became a big topic of discussion. In the past year, there has been a massive increase of attention being paid to yet another role that is still new enough that its title hasn’t been standardized. This role is referred to by a range of names from Analytics Translator, to Analytics Catalyst, to Analytics Liaison, and more. I like Analytics Translator most, so I’ll use that for the remainder of this blog, but there is no guarantee that another title won’t win out in the long run.
How The Traditional Analytics Role Has Fragmented
Analytics professionals of the past served as the liaison between IT and business. Before the rise of big data, open source, and cloud technologies, analytics professionals typically handled an analytics process from start to finish. This included gathering and cleaning data, running models, and implementing and communicating results. While usually not as well-versed in business as the business team or as well-versed in technology as the IT team, analytics professionals managed ...
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