Before a product is designed, it can provide key data support for enterprise decision-making, maximize the value of enterprise data, better implement differentiated competition, and help enterprises gain the first opportunity in the competition.
2. Data Engineer
Designers, builders and managers of big data infrastructure, who develop an architecture that can analyze and provide data according to the needs of enterprises. At the same time, their architecture can also ensure the smooth operation of the system.
3. Data Architect
Good at dealing with scattered data and all kinds of irrelevant data, proficient in statistical methods, able to obtain original data through monitoring system and interpret data from a statistical point of view.
4. Data analyst
The responsibility is to transform data into information that can be used by enterprises through analysis. They find problems through data, accurately find the causes of problems, and find the key points for further improvement.
5. Data Application Division
Restore data to the product for use by the product. They can express the information contained in the data in a language that ordinary people can understand, and promote internal adjustment according to the conclusion of data analysis.
6. Data scientist
Big data leaders with a variety of interdisciplinary scientific and business skills can turn data and technology into business value of enterprises.
References:
China * * * Production Party News Network-What kind of talents do we need most in the era of big data?