Data Science is without any doubt transforming businesses and the driving drastic growth throughout the global economy. According to the U.S Bureau of Labor and Statistics, the data-related occupations have been anticipated to grow by 12% by 2028, thereby creating 546,200 new jobs. This is going to be a huge opportunity for all those who are interested in the data science jobs.
Top companies are always in need of qualified professionals for filling emerging data science roles. And that is why we present to you the 10 best paying data science jobs and desired skills. But before we dive into the details of the 10 big data careers, we like to talk about the desired skills required in this field. Stay informed about the latest trends in data science employment by exploring our in-depth analysis, helping you stay ahead in this rapidly evolving industry.
Job Title | Minimum Salary | Average Salary | Maximum Salary |
Big Data Engineer | $75,000 | $104,000 | $145,000 |
Data Architect | $83,000 | $119,500 | $169,000 |
Data warehouse Manager | $34,250 | $53,000 | $84,000 |
Database Manager | $45,000 | $76,000 | $125,000 |
Business Intelligence Analyst | $61,000 | $86,000 | $120,000 |
Data Scientist | $82,000 | $117,000 | $167,000 |
Data Modeler | $69,000 | $94,000 | $129,000 |
Database Developer | $67,000 | $92,000 | $125,000 |
Database Administrator | $60,000 | $84,000 | $117,000 |
Data Analyst | $46,000 | $70,000 | $106,000 |
We believe having these types of skills are very much useful in the field of data science. Also, companies tend to prefer those individuals who possess some of these skills.
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Below are the details of the 10 best paying data science jobs.
Big data engineers are considered to be similar to data analysts in a way that they have to turn huge piles of data in a form that is useful for organizations in making smarter business decisions. With that, they have to retrieve, interpret, analyze, and then report of business’s data as well.
Following are the key responsibilities of a big data engineer.
Data architects are the ones who have to deal with designing the structure of complex data frameworks. It also includes building and maintaining databases. Since data architects have to structure complex data, they need to work meticulously. You might also be interested in Ivy League Data Science Courses with certificates.
Below are the key responsibilities of a data architect.
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Data warehouse managers are known to be storing and analyzing data in facilities. They have to use performance and usage metrics for a variety of purpose. It includes evaluating data, analyzing data load, and monitoring job usage.
As a data warehouse manager, you have to perform the following tasks.
Database managers have to work closely with database developers and that too in the most professional manner. With that, they are expected to provide guidance and training to lower-level staff. A database manager has to be very proactive and determined as he is responsible for training the entire low-level staff. You can also checkout data science A-Z™: real-life data science exercises.
Below are the key responsibilities of a database manager.
Business intelligence analysts are known to be the ones who have to turn companies’ data into a form that can be used by executives to make better business decisions for the company. Business intelligence analysts need to have a strong background in analytical and reporting tools. Follow here for a complete Business Intelligence Analyst Career Path.
A business intelligence analyst has to perform the following tasks.
A data scientist role is considered to be offshoot of several traditional technical roles. It includes mathematician, scientist, statistician, and a computer professional. Basically a data scientist is the one who has to collect, analyze, and interpret a large amount of data regularly. Since the data is quite valuable in making decisions for the company, a data scientist must be very meticulous in handling data. Here are some Best National University of Singapore Courses that you might be interested in.
The title of a data scientist comes with the following responsibilities.
A data modeler has to turn large volumes of data into insights like micro and macro trends. These are then gathered into reports and businesses. Data modelers are required to have skills in both information science and statistical analysis. With that, they should posses proficient programming skills.
A data modeler has the following responsibilities on shoulder.
Database developers design, program, develop, and then implement different database systems. They have to work very closely with other members of the development team. Those who have prior experience with database development, unit testing, and data analysis are preferred as compared to those who don’t have any experience in this field.
Following are the key responsibilities of a database developer.
A database administrator is the one who uses specialized software for storing and organizing data. They have a variety of tasks to do relevant to data. Database administrators mostly have prior experience working on database administration teams.
Below are the key responsibilities of a database administrator.
Data analysts have to work very proficiently and closely with large volumes of data. They are supposed to turn them into useful insights which businesses can leverage to make better decisions. They are to work across a variety of industries-from healthcare to finance to retail and technology.
Data analysts have the following tasks to perform.
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