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With the rapid development of the data age, a number of high-paid jobs have emerged, such as big data development engineer, data mining engineer, data analyst and so on. Compared with development engineers and other types of jobs that are more technology-oriented, data analysts are equally strict with learners. However, we often hear about CDA data analysts. How does it relate to data analysts? What do CDA data analysts do?

Duniang defines to us a new type of data analyst who specializes in data collection, clarity, processing, analysis, business reports and decision-making in the Internet, retail, finance, telecommunications, medicine, tourism and other industries. CDA data analysts cover all the skills required by domestic enterprises to recruit data analysts, including probability and statistics knowledge, software applications, data mining, databases, data reports, business applications and so on. In short, CDA data analysts are all-round strategic talents in the data field, and they are the data supporting force for enterprises to develop and optimize their industrial structure for a long time.

CDA data analysts are divided into three levels, how are their criteria rated?

CDAlevel Ⅰ: business data analyst. Specifically refers to the government, finance, telecommunications, retail and other industries front-end business personnel; engaged in marketing, management, finance, supply, consulting and other positions business personnel; non-statistical, computer professional background zero-based employment and employment. CDALevel Ⅰ business data analysts need to master the theoretical basis of probability and statistics, be proficient in using professional analysis software such as Excel, SPSS, SAS, have good business understanding ability, be able to process and analyze data using common data analysis methods according to business problem indicators, and get business reports with clear logic.

CDALevel Ⅱ: modeling analyst. At least one year working experience in data analysis position, or more than half a year through CDALevel Ⅰ certification. Specifically refers to the government, finance, telecommunications, retail, Internet, e-commerce, medicine and other industries specializing in data analysis and data mining personnel. On the basis of Level Ⅰ, it is more necessary to master the theoretical knowledge of multivariate statistics, time series and data mining, to master advanced data analysis methods and data mining algorithms, to be proficient in using at least one professional analysis software such as SPSS, SAS, Matlab, R, etc., to be familiar with SQL to access enterprise databases, and to extract relevant information from massive data and carry out modeling and analysis from different dimensions. Form a data analysis report with strict logic that can reflect the overall process of data mining.

CDALevel Ⅱ: big data analyst. At least one year working experience in data analysis position, or more than half a year through CDALevel Ⅰ certification. Specifically refers to the government, finance, telecommunications, retail, Internet, e-commerce, medicine and other industries specializing in data analysis and cloud big data personnel. On the basis of Level Ⅰ, it is required to master the knowledge of JAVA language and linux operating system, to be able to use at least one professional big data analysis software such as Hadoop, Spark, Storm, etc., to extract relevant information from massive data, and to combine R, python and other software to form a strict data analysis report.

CDALevel Ⅲ: data analyst. At least 3 years working experience in data analysis position, or more than half a year through second-level certification. Specifically refers to professionals engaged in the integration and management of the overall data assets of various industries and enterprises, creating different products and decisions for user data, generally refers to the Chief analyst (CA). Data analysis experts need to master all the theories and technical requirements of CDALevel Ⅱ, as well as computer technology, software development technology, big data analysis architecture and enterprise strategy analysis methods, and be able to lead the team to effectively integrate and manage different subject data. Have keen insight and judgment on industry, business and technology, and provide all-round data support for the development of enterprises.

What is the main daily work of CDA?

1. Responsible for project demand research, data analysis, business analysis and data mining model, etc., through the analysis of user behavior to understand the needs of users

2. Participate in the investigation, analysis and implementation of temporary data analysis requirements of business departments.

3. Participate in the construction, maintenance, deployment and evaluation of data mining model.

4. Collate and compile the business data analysis report, find and analyze the hidden changes and problems in time, and provide decision support for business development.

Data analyst is one of the positions that are urgently needed in various industries at present. It plays a very important role in optimizing the industrial structure, improving production efficiency and saving the cost of enterprises.

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