Data analytics refers to the analysis of raw data to make conclusions about a certain information. The insights gathered are then used to improve business decisions and operations.
Data analytics is becoming increasingly important in today’s business environment and more companies across different industries are leveraging it to improve their performance. As the global big data analytics market is projected to grow to $549.7 billion by 2028, receiving data analytics training is a good way to open up more possibilities for oneself. Here are some career opportunities you’ll have access to after completing your data analytics course.
1. Business Intelligence Analyst
Business intelligence analysts sieve through countless sources of information such as industry reports, public information, and field reports, to gather data about current market trends, patterns, and more. They need to be comfortable with analysing data, interpreting them, working with Structured Query Language (SQL), and presenting their results through reports. The intelligence will then be used to craft actionable plans for the company, which will improve business performance and affect their future goals.
2. Data Analyst
A data analyst retrieves data, organises it and uses it to reach useful conclusions. The work they do will vary depending on the type of data they’re working with. For example, data related to social media marketing efforts, inventory management, fashion trends, and more. Regardless of the industry, data analysts spend most of their time spotting trends and patterns, interpreting data, and compiling their findings into reports.
By taking on a data analytics course, graduates also open doors to other analyst roles such as quantitative analyst, marketing analyst, operation analyst, and more. They use the same knowledge and skill sets to collect, organise, and analyse data for the company’s improvement.
3. Data Scientist
Data scientists gather and analyse large sets of both structured and unstructured data using their knowledge of computer science, statistics, and mathematics. The difference between a data scientist and a data analyst is that the former deals with the unknown by making predictions about the future based on past patterns, while the latter merely generates meaningful insights from current, existing data. A data scientist also develops new ways of capturing and analysing data for analysts to use. It is generally considered a more advanced role compared to a data analyst.
4. Data Engineer
Data engineers specialise in building data processing architecture and ecosystems for a company. They make use of different data management tools such as machine learning algorithms, and work with both structured and unstructured data, to develop the foundation for various data operations. Data engineers are also responsible for collecting and preparing data for use by data scientists and analysts.
Apart from data roles, data analytics training can also value-add other positions within a company. For example, project managers, marketing executives, transportation logistics specialists, and more. Data provides deeper insights into workflows, market trends, and other business processes that enable you to spot early issues or improve operations for the company.
Data analytics is a good skill to have as businesses around the world become increasingly reliant on data to operate. Regardless of what career you plan to pursue, data analytics can give you a headstart or put you in a beneficial position.
Smartcademy is Singapore’s leading digital academy, equip yourself with the necessary tech skills today by enrolling in our data analytics course.