An analytical mind is required to find a variety data career options. These include Data scientist and Data engineer, as well as Data architect. Each of these roles requires different skills. For this career to be successful, you must have an excellent data and analysis background. You also need the ability of communicating and working with different stakeholders. 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 deal with information that affects all parts of an organization. They need to be able to identify and improve the operations of an organization. These professionals should be curious about everything around them.
A graduate degree in data analysis is often required for high-ranking positions. This education can improve your career prospects and increase your earning potential. If you do not plan to apply for an entry level position, however, a graduate degree might not be necessary.
Data scientist
While data scientist careers are highly lucrative, they require extensive 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 must also have good communication skills and be able to establish relationships. 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 data becomes more abundant, data engineers become increasingly important. Data engineers solve problems by designing systems that 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 why you should consider a career as a data engineer.
Depending upon your skillset and experience, there are many opportunities to work in various industries. A Data Engineer will need to be familiar with data platforms such as Hadoop and Spark, as well as programmatic libraries and workflow tools. Data engineers will also be responsible to build and maintain the data infrastructure required by data scientists. Other engineers might be requested to help clients with the implementation and testing of new systems. Other tasks will involve solving problems with operating systems.
Data architect
Data architects are responsible to present insights from data to the upper management. Data architects use fundamental data management techniques as well as statistical analysis to identify patterns, trends, or relationships. They prepare detailed reports based on their findings to the upper management. The reports are often used to make business decisions. These are some of the things you need to think about when looking for a career that is data architect. These are some of the benefits associated with becoming a data architect. Candidats interested should feel comfortable working with complex data.
A bachelor's degree is usually required for data architects. They should also be familiar with systems analysis and big-data analytics. For higher positions, a master's is better. Data architects need to be able to demonstrate a track record of accomplishments. High-ranking employers will expect applicants to have experience in performance management, network management and application architecture.