Data professionals with an analytical mindset can choose from many career options. These include Data scientist, Data engineer, and Data architect, to name a few. Each role requires a different skill set. To succeed in this career, a good data and analytics background is required, as is the ability to communicate and collaborate with a variety of stakeholders. These requirements should be met by recent graduates, with at most 2 years' experience.
Data analyst
Data analysts are required to have critical thinking skills and problem solving skills. They also need the ability to present data to different audiences. They deal with information that can impact all areas of an organisation. As such, they must be able to understand what the organization needs, as well as identify ways to improve operations. These professionals need to be curious about the surrounding world.
Senior-level data analysis positions often require a graduate degree. 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
Although data scientist jobs can be very lucrative, they require a lot more technical knowledge. Data professionals need to have solid knowledge of programming, applied mathematics and computer science. They also need strong critical thinking skills. They must also be able convert data into business insights. These professionals also need to be proficient at advanced Excel and data modelling.
Data scientists need to be able use different technologies such as machine learning models or natural language processing to make sense data. They need to be able and able to communicate effectively with others. Although the role isn't going away any time soon, technology continues to improve. New tools are being developed that make it easier for data scientists to be more flexible.
Data engineer
The demand for data engineers is increasing as more data is generated daily. Data engineers are responsible for solving problems by developing systems to store, analyze, and collect data. They are one the fastest growing careers. Many people in these jobs have interesting jobs and good salaries. These are reasons to consider a career with Data Engineers.
Your skills and experience can allow you to work in different industries, depending on what you are skilled at. A Data Engineer will need to be familiar with data platforms such as Hadoop and Spark, as well as programmatic libraries and workflow tools. In addition, data engineers will also be responsible for building and maintaining the data infrastructure needed by data scientists. Clients might also need engineers to test and implement new technologies. Other jobs require you to solve problems related to the operating systems of organizations.
Data architect
Data architects provide insights and recommendations from data to senior management. They apply fundamental data management techniques and statistical analysis to find patterns, trends, and relationships. They then prepare detailed reports on their findings for upper management. The reports are often used to make business decisions. Consider these things when you are considering a career in data architecture. These are some of the benefits associated with becoming a data architect. Candidats interested should feel comfortable working with complex data.
Data architects typically have at least a bachelor's degree in computer science or computer engineering. They should also have some experience with big data analysis. Master's degrees are preferred for higher-ranking positions. 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.