What is the key distinction between a Data Analyst and a Data Scientist regarding algorithm creation?

Answer

A Data Scientist needs a firmer command of abstract concepts to build novel algorithms from scratch, whereas an Analyst might primarily use SQL for reporting.

A key distinction is that a Data Scientist needs abstract command to build novel algorithms, while a Data Analyst might primarily use SQL and standard statistical software for reporting, relying on foundational math knowledge.

What is the key distinction between a Data Analyst and a Data Scientist regarding algorithm creation?
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