If you have an analytical mindset, you can find many different data careers. These include Data engineer, Data scientist, and Data architect to name just a few. Each role requires a different set of skills. A solid background in data analytics and communication skills are essential to this career. These requirements are applicable to recent graduates with less than 2 years of relevant work experience.
Data analyst
Data analyst jobs require problem solving and critical thinking skills. 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. These professionals should be curious about everything around them.
For senior positions in data analysis, it is common to have a master's degree. Additional education can help you increase your career potential and earning potential. If you do not plan to apply for an entry level position, however, a graduate degree might not be necessary.
Data scientist
Data scientist careers are very lucrative but require a lot knowledge. These data professionals should have an excellent understanding of computer science and applied mathematics. In addition, they must be able to translate data into useful business insights. These professionals must also be proficient in advanced Excel and data modelling.
Data scientists work with a range of technologies to help understand data. They must be able establish and maintain relationships, as well as have strong communication skills. While the role as data scientist is not expected to disappear, technology is continually improving. Data scientists are now able to use new tools to make their jobs easier and more efficient.
Data engineer
The demand for data engineers is increasing as more data is generated daily. Data engineers work to solve problems through the creation of systems to store, retrieve, and analyze data. This is one of the most popular and fastest-growing professions today. People in these jobs often have very interesting jobs and enjoy good salaries. Here are some reasons why you should consider a career as a data engineer.
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. Data engineers will also have to maintain and build the data infrastructure that data scientists require. Engineers may also be needed to develop and implement new systems. Other tasks will involve solving problems with operating systems.
Data architect
Data architects present data-driven insights to top management. They use basic data management techniques and statistical analyses to find patterns, trends, connections, and other information. For the top management, they then create detailed reports on their findings. These reports are used often to make business decision. When considering a career of data architect, here are some things to keep in mind. There are many benefits to becoming a Data Architect. Candidates should be comfortable working in complex data.
Data architects usually have a minimum of a bachelor's in computer science or engineering. They should also be familiar with systems analysis and big-data analytics. Master's degrees are preferred for higher-ranking positions. Data architects need to have strong work experience in addition to their education and training. High-ranking employers will expect applicants to have experience in performance management, network management and application architecture.