CDA (Certified Data Analyst), also known as "CDA data analyst", refers to the Internet, finance, telecommunications, medicine, tourism and other traditional industries specializing in data collection, cleaning, processing, analysis and can produce business reports, The new type of data analysis talent to provide decision-making.
The CDA, with the mission of summarizing and condensing advanced business data analysis practices and clarifying the knowledge system of various data analysis practitioners, aims to strengthen the construction of formalized, scientific, and professional big data and data analysis talent team worldwide, further enhance the professionalism and competence level of data analysts, and promote the high-quality and sustainable rapid development of the data analysis industry. sustained and rapid development of the data analytics industry.
Career paths for CDA data analysts:
1. IT systems analyst
The level of expertise required in these roles varies, which creates opportunities for specialization in the industry and for individual interests. Some systems analysts use existing third-party tools to test in-house software, while others use newer proprietary tools, their knowledge of big data analytics and the business itself.
2. Healthcare Big Data Analysts
Whether it's with the popularity of wearable devices like the Apple Watch or through enhanced medical testing in clinics, hospitals, and labs, the amount of data coming from the healthcare industry is growing rapidly. Additionally, the demand for skilled big data analysts is growing as regulations and restrictions on how data can be stored, retrieved and processed increase.
3. Operations Analyst
Operations analysts are usually located within large companies, but can also work as consultants. Operations analysts focus on the internal processes of the business. This can include internal reporting systems, product manufacturing and distribution, and general streamlining of business operations.
4. Data Scientist
Like analysts in other roles, data scientists collect and analyze data and communicate actionable insights. However, data scientists are usually the technical step above big data analysts. They are the ones who can understand the data from a more informed perspective to help make predictions.
These positions require a strong knowledge of big data analytics, including software tools, programming languages like Python or R, and data visualization skills to better communicate findings.
5. Data Engineer
Data engineers typically focus on larger datasets and are responsible for optimizing the infrastructure around different big data analytics processes.
For example, data engineers may focus on the process of capturing data to improve the efficiency of the acquisition pipeline. They may also need to upgrade the database infrastructure to enable faster queries. These advanced big data analytics professionals are also well paid, with a median salary comparable to that of a data scientist at $90,963.