In general, there are three levels in the data analytics industry, the first level is the business data analyst. The second level is the data mining modeling analyst and big data analyst. The third level is the data scientist. Let's explain it well now.
The first level of occupation in the data analysis industry is the business data analyst, business data analyst belongs to the primary analyst, mainly refers to the government, finance, telecommunications, retail and other industries, front-end business personnel; engaged in marketing, finance, supply, consulting, and other positions in the business; non-statistical, computer professional background of the zero basis to enter the industry and change the line of employment personnel. Business data analysts need to master the skills of probability theory and statistical knowledge, able to use Excel, R, Python, SPSS and other a professional analytical software, business understanding can be.
The second level of careers in the data analytics industry are data mining modeling analysts and big data analysts. Data mining modeling analysts and big data analysts belong to the same level, the only difference is that data mining modeling analysts and big data analysts have slightly different directions and use slightly different tools. Generally speaking, data mining modeling analyst: more than one year of work experience in data analysis positions. Specifically refers to the government, finance, telecommunications, retail, Internet, e-commerce, medical and other industries specializing in data analysis and data mining. Data mining modeling analyst skills requirements: in the first level on the basis of more requirements to master multivariate statistics, time series, data mining and other theoretical knowledge, master advanced data analysis methods and data mining algorithms, be able to skillfully use PYTHON, R professional analysis software, familiar with the use of SQL to access corporate databases. And Big Data Analyst: more than one year working experience in data analysis position. Specifically refers to the government, finance, telecommunications, retail, Internet, e-commerce, medicine and other industries specializing in data analysis and cloud-based big data. Big data analyst skills requirements is the first level of the foundation requires mastery of the JAVA language and Linux operating system knowledge, can master the use of Hadoop, Hive, Spark and other professional big data architecture and analysis software.
The third level of the data analysis industry is the data scientist. Data scientist: more than three years of work experience in data analysis positions. General data scientist is the industry data analysis senior staff. Data scientist skills requirements: master cutting-edge AI-related technologies, responsible for the development of enterprise data development strategy, discovering the value of enterprise data, improving the efficiency of enterprise operation and increasing enterprise value.
Through this article, it is not difficult to find that there are many careers in the data analytics industry, and different careers need to learn the content is not the same, the skills to be mastered is more, so we are still based on their own actual situation to choose a career that suits them.