The data world needs more purple people — generalists who can navigate both the business context and the modern data stack. Let's put aside skillset

We the purple people

submited by
Style Pass
2022-09-24 04:00:10

The data world needs more purple people — generalists who can navigate both the business context and the modern data stack. Let's put aside skillset dichotomies, and learn to feel comfortable in the space between.

If, like me, you’ve been hanging out on data Twitter recently, you might have sensed that there is something in the air. It’s not quite a whisper anymore, nor is it yet a roar — more a persistent hum of an industry abuzz with a question of self-identity. We are analytics engineers… but what does that mean, exactly?

In the past two years since the term entered our vernacular, the number of open roles seeking Analytics Engineers has grown nearly exponentially:

This role has been alive long enough that we now develop complex career ladders and chew on the nuances of when to employ a data engineer, an analyst, an analytics engineer, a machine learning engineer, a data scientist, an operations analyst…

Organizations are going through a similar epistemological shift. Adopting a modern data stack goes hand in hand with some serious rethinking of the role of data humans in an organization (because sociotechnical systems yo). Businesses are experimenting with different models of organizing data teams. These models all in some way reflect the diversity of business areas where data is becoming a critical part of the conversation. A tell tale sign of this happening: teams adding the word ‘Analytics’ behind a growing list of business functions like Finance, Product, Marketing, Engineering, Operations, Sales, Support…

Leave a Comment