Both data engineer and data analyst are in high demand, but what is the difference between them?
Who Makes More Money Data Engineer vs Data Analyst?
We live in an information-driven world and successful companies strongly rely on data for decision-making. Data roles include data engineer and data analyst, but many people have misconceptions about them. Let’s find out the exact roles.
Have you ever wondered what differentiates a data analyst and a data engineer? What is the differentiating factor that helps them to analyze the data from a different point of view? Today, you will know the key distinction between these two positions.
A Data Engineer is a person who prepares data for analysis. In turn, a data analyst is a person who extracts information from a given pool of data.
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Ok, but what do both of these specialists do?
At Jelvix, our data engineer is focused on building the right environment and infrastructure for data generation. The goal is to create and collect data that will later be used for comprehensive analysis. Their main responsibilities are creating data pipelines, data modeling and data wrangling.
Data Analysts at Jelvix are responsible for extracting valuable information and actionable insights from the data received from the data engineer. They interpret it using data analysis tools to provide meaningful information and insights to help businesses make better-informed decisions. This could be decisions about any aspect of business, for example, investments, cost-savings, pricing, hiring, operations or scheduling.
Still confused? Let’s find more in this great video.
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