Wanting to understand the career plan or learning program for data analysis engineers, so as to improve their skills and professional knowledge, I think the most accurate and targeted method is to check the job requirements of the recruitment position, so that we can be targeted to study their own learning. Let's take a look at the following requirements:

1. Responsible for the planning, analysis and design of the big data platform, grasp the overall architecture, and write relevant technical documents;

2. Responsible for the deployment of the big data platform, development, and maintenance;

3. Collaborate with the BI analysts to complete the definition of the data analysis model and algorithms for the business objectives. Implementation work;

4. Undertake exploration and reserve in related technical fields.

Requirements:

1. Bachelor degree or above, proficiency in C/C++ or JAVA;

2. Familiar with various commonly used data structures and algorithms, and enough experience in network database development under linux;

3. More than 2 years of C++ practical experience is preferred;

4. Experience and skills in big data mining is preferred; if you have any experience and skills in big data mining; such as Experience and skills in big data mining is preferred; e.g. hadoop, hbase, hive, etc.;

5. Good at communicating and collaborating with members of other departments.

There is also a recruitment requirements:

Job responsibilities:

1, understand and mining user needs, data modeling;

2, the use of professional statistics, analytical tools from the massive data to summarize the laws, mining potential value, to provide a basis for decision-making.

Requirements:

1, Bachelor degree or above in mathematics, statistics, computer science, artificial intelligence related majors, about 2 years of full-time data analysis, mining experience, excellent fresh master's degree is also available;

2, good data sensitivity, good at extracting effective information from massive data for analysis mining and modeling;

3, Proficiency in any one of the analysis tools, such as SPSS, SAS, R language, MatLab;

4, familiar with database technology, such as oracle, SQL, MongoDB;

5, for mathematical modeling, data mining, Hadoop big data experience is preferred.

I think, you see this, should have a very clear view of the data analysis engineer, good luck ba !