Data professionals with an analytical mindset can choose from many career options. These include Data scientist (or Data engineer), Data architect (or Data architect), and many others. Each role requires a different skill-set. A solid background in data analytics and communication skills are essential to this career. These requirements can be met by recent graduates with at least 2 years' work experience.
Data analyst
Data analyst careers require critical thinking, problem solving skills, as well as the ability to communicate data to various audiences. They are responsible for information that has an impact on all aspects of an organization. As such, they must be able to understand what the organization needs, as well as identify ways to improve operations. They must be curious about the world around and themselves.
Senior-level data analysis positions often require a graduate degree. Additional education can help you increase your career potential and earning potential. For entry-level positions, a graduate diploma may not be required.
Data scientist
Although data scientist careers can be extremely lucrative, they also require a lot technical knowledge. Data scientists must be well-versed in programming, mathematics, and computer science. These professionals must be able and able turn data into business insights. These professionals must also be proficient in advanced Excel and data modelling.
Data scientists have to be able to use a variety of technologies, including machine learning and natural language processing, in order to understand data. They need to be able and able to communicate effectively with others. While the role as data scientist is not expected to disappear, technology is continually improving. New tools are being developed that make it easier for data scientists to be more flexible.
Data engineer
As the amount of data generated by human beings increases, so does the need for skilled data engineers. Data engineers create systems to collect, store and analyze data. These are some of the fastest-growing jobs today. This job is often very rewarding and offers good pay. Here are some reasons you should consider a career of data engineer.
Depending upon your skillset and experience, there are many opportunities to work in various industries. Data engineers will need to be proficient in data platforms like Hadoop and Spark as well as programmatic libraries, workflow tools, and other programming languages. In addition, data engineers will also be responsible for building and maintaining the data infrastructure needed by data scientists. Engineers may also be needed to develop and implement new systems. Other jobs will require solving problems with the operating systems used by organizations.
Data architect
Data architects provide insights and recommendations from data to senior management. They use basic data management techniques and statistical analyses to find patterns, trends, connections, and other information. They then prepare detailed reports on their findings for upper management. These reports are used often to make business decision. Consider these things when you are considering a career in data architecture. Here are some benefits of being a data analyst. Candidates interested in this job should be comfortable working with complex information.
Data architects usually have a minimum of a bachelor's in computer science or engineering. They should also have a background in big data and systems analysis. A master's degree in data analysis is recommended for senior positions. In addition to education and training, data architects must also have a strong work history. Top employers often expect previous experience in application architecture, network management, and performance management.