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5 Types of Business Analytics Jobs

Market Trends

Aspiring techies can look out for these different business analytics jobs in 2022

Similar to business administration, business management, and other types of business programs, business analytics jobs run the spectrum from database administrator to data scientist and everything in between.

Companies varying from manufacturing to retail to healthcare are all becoming technology companies, and the need for business analytics has never been greater.

5 types of business analytics jobs:
1. Data Scientist

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 and operations within the company. They often use technologies such as SQL, R, SAS, and Python, so getting data analyst certification in these areas will help you tackle even the most complex data sets with ease.

2. Data Analyst

A data analyst interprets data to analyze results to a specific business problem or bottleneck that needs to be solved. 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.

3. Data Engineer

Nowadays, 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 thought up by the data scientists. The good news is that the need for data engineers spans many different types of industries.

4. Data Architect

The data architect is responsible for creating the blueprints that help with data management, thereby allowing the databases to be centralized, integrated, and protected. The data architects provide the data engineers with the tools and platforms they need to be able to carry out their tests with accuracy and precision.

5. Analytics Manager

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. They need to be creative, "outside the box" thinkers who can easily manage a team with far-reaching abilities and skills.

Conclusion:

Digitization and advancement in technology have opened the door for any work opportunities. 46% of all data analytics and data engineering jobs originate from the banking and financial sector, but business analyst jobs can be found in e-commerce, media, retail, and entertainment industries as well.

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