A data scientist collects and interprets data using qualitative analysis. From their analyses, they can predict, evaluate and share information that impacts a variety of departments.
It is different from the role of a data scientist, as they are involved in identifying and solving critical business problems that might add immense value if solved.
Many companies are making considerable investments in data, and the data engineer is the person who builds, upgrades, maintains, and tests the infrastructure to ensure it can handle algorithms.
The data architect is responsible for creating the blueprints that help with data management, thereby allowing the databases to be centralized, integrated, and protected.
Last, but not least, is the analytics manager, who oversees all the operations and assigns duties to the respective team leaders based on needs and qualifications.
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