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According to a global survey by Machine Engine, 89% of companies surveyed reported an increase in the use of business analytics. This means the demand for data analysts has exploded, making it the ideal time to move into a data analytics career.
Data analytics is a subset of data science that focuses on analyzing raw data to find patterns and draw conclusions in order to solve problems. Within data analytics there are a number of jobs to pursue. For most of these, a master’s degree in data analytics is highly beneficial.
A data architect designs data frameworks and creates the tools used by data scientists and analysts. Big data architects are particularly sought in organizations with large and complex data sets, such as financial or market research companies.
Data architects are responsible for developing and managing end-to-end data architecture. They also work alongside leadership and IT teams to develop an organization’s data strategy.
The roles of data engineer and data architect are closely related and sometimes confused or used interchangeably. The difference is that a data architect conceptualizes the data framework’s blueprint and the data engineer is responsible for bringing it to life.
Data engineers typically start off with a software engineering degree and have strong skills in creating algorithms. They build and test the data systems and pipelines through which raw data is collected, analyzed and turned into usable information.
Data analysts are storytellers. They interpret raw data in order to gain insights that can be used to make better business decisions. Data analysts use artificial intelligence and machine learning algorithms to extract and sort through large volumes of unstructured data.
Data analysts tend to be inquisitive and enjoy the investigative nature of their job. You should also be a good communicator as your job will involve presenting your findings to departments and executives.
The field of data analytics is highly competitive. Getting a master’s degree in data analytics can enhance your skills and help you advance to more senior positions. There are several excellent online master’s degree in data analytics courses that can be completed in 12 months or less.
According to a survey by Gartner, the number of businesses adopting artificial intelligence grew by 270% between 2015 and 2019. Such rapid growth led to a shortage of skilled AI specialists, like machine learning engineers.
Machine learning is a specialized branch of artificial intelligence. ML engineers build AI systems that are able to learn from data. They develop intuitive algorithms that can translate certain patterns within data to make more accurate predictions, without human interference.
ML engineers require sound mathematical and statistics skills and a degree in computer science, data science or data analytics.
A quantitative analyst is a data specialist who applies mathematical and statistical methods to prevent or solve financial and risk management problems.
“Quants” are in high demand in the financial industry. Banks, investment firms, insurance companies, and asset management companies all employ quantitative analysts. They design computer algorithms and complex data models to study, measure and predict outcomes.
Data analytics isn’t just about statistics and algorithms. It also requires critical thinking, problem-solving, and visualization skills. If you feel data analytics is the right path to take in your data science career, a master’s degree in data analytics can open doors to all of the above jobs.
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