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How to Build a Successful Data Analytics Team

What team members do you need to build a successful data science or analytics team? This question comes up with increasing frequency as businesses introduce more data-driven processes across their organizations. For those of you outside the analytics realm, let’s demystify the multiple roles essential to a functioning team.

The Data Engineer The data engineer is like a black cup of coffee. They provide the foundation upon which all data science occurs, namely the collection, quality assurance (QA) and availability of the data. Typical tasks performed by data engineers include data warehouse design, extract transform load (ETL), data bounds checking and database tuning.

Source: cmswire.com
Author: David Blankley

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