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These numbers vary significantly by company. Part of this is semantics. Some companies avoid using analysts and refer to everyone as a data scientist. Others have different boundaries for where data and analytics engineers’ work begins and ends. (View Highlight)

Nubank now refers to all data analysts as analytics engineers to demonstrate its focus on better applying established software engineering principles and data modeling techniques to all business domains. (View Highlight)

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Mid-size data teams have a notably higher share of people in data engineering roles. This may indicate that a core platform is needed for analysts and engineers to work on, but insights may also be more frequently done by people outside of the data team, such as product managers and engineers. (View Highlight)