Data Analyst vs Data Engineer vs Data Scientist — What are the differences?

That is right. It is time for us to delve into similarity and difference between the well-known data roles by having a closer look at different business expectations, responsibilities, skillset required and so on. This can potentially help to find our next job or identify which new expert your team needs. The following diagram explores the key differences between some of the most promising career pathways in the industry.

When overviewing the key differences above, several insights immediately come to mind:

1️⃣ In the context of a business, every individual role assumes a crucial function in facilitating the utilisation of data to drive business operations. These roles are instrumental in extracting the inherent value of business data at various stages of processing. As a business progresses and advances in its data-driven practices, the significance of each role becomes increasingly pronounced, particularly when the business endeavours to go beyond conventional “linear” analytics.

Business leaders today increasingly recognise that a shift is underway — from linear to non-linear processes, meaning…