Big Data Analyst/Data Expert/Data Expert

Big Data Analyst/Data Expert/Data Expert

operating duty

Big data analyst is a common recruitment position in the Internet industry. Practitioners need to have relevant professional learning experience, be proficient in common programming languages such as Pvthon and R, be familiar with one or more common databases such as MySal, SQL server and Oracle, and have the ability of data mining and analysis. Its work contents include:

1. Design data platform architecture and data products according to data analysis requirements and data set conditions.

2. Establish data analysis methods and standards according to development requirements, and establish a complete indicator body.

3. Be responsible for the development and maintenance of data models and write technical reports.

4, responsible for the establishment of data reports, and constantly optimize product functions according to user feedback.

5. Responsible for writing standard product development documents and keeping them properly, and writing product function list and user manual.

6. Complete other related work assigned by the company.

Ability requirement

1. Professional skills

Intuitively, big data analysts must have solid professional skills in data analysis.

(1) Skilled in using analytical tools. Proficiency in using commonly used data analysis tools and at least one data analysis software is the most basic requirement for big data analysts.

(2) Free use of analytical methods. Big data analysts must be able to use data analysis methods freely and complete corresponding data analysis tasks, which is also their most basic ability.

(3) Understand the frontier analysis theory. Many enterprises have put forward requirements for the theoretical level of big data analysts, which requires both the theoretical application ability of system analysis and modeling and the theoretical exploration ability of data analysis.

2. Management skills

It is not new for technical talents to master the corresponding management skills, and management skills have become a useful supplement to technical skills.

(1) strategic management. Big data analysts need to use the results of data analysis to explore potential problems and opportunities in business, put forward clear analysis conclusions and countermeasures, and support strategic decision-making of enterprises. Without the corresponding strategic management ability, the data analysis result is only rigid information, and its value cannot be realized.

(2) Team management. The analysis and application of big data mainly rely on teamwork, and team management has become an essential skill for big data analysts. Among them, communication ability, team management ability and teamwork spirit are the key requirements for big data analysts.

(3) Project management. Big data analysts should not only be good at completing data analysis through teamwork, and apply the analysis results to the company's strategic decision-making, but also have the corresponding country management ability to continuously promote the projects undertaken, but different companies have different requirements in this regard.

3. Practical experience. Practical experience is one of the basic requirements for big data analysts. Most enterprises require candidates to have more than 3 years of practical experience or work experience, which is mainly related to the applicant's business.

4. Basic qualities. Enterprises also have corresponding requirements for the basic quality of big data analysts, mainly in high academic qualifications and clear majors. In terms of academic qualifications, candidates are required to have a college degree or above.

5. Research ability.

(1) Abstract induction. Big data analysts should be good at abstracting the laws and trends of things from data and data analysis results, so as to predict potential opportunities and threats and provide support for strategic decisions of enterprises.

(2) analysis and judgment. Big data analysts should also be good at analyzing and mining data, use certain model tools to analyze and judge the problems in business operations, and propose solutions.

(3) written expression. Research activities can't be separated from written expression, with excellent written expression skills, and being able to write rigorous and profound research reports has become an essential ability for big data analysts.

salary

1. Average annual salary: The average annual salary of domestic big data analysts is about 234,060.

2. Annual income distribution: below 65438+ 10,00017%:10-200,000/36%; More than 200 thousand accounts for 47%.

3. Annual salary distribution of different seniority: 1 within a year ￥118059; 1-3 years RMB164324; 3-5 years ￥ 234676; 5- 10 year ￥ 277486; 10 years or more ￥298.569.

4. The regions with the greatest demand for big data analysts are Shenzhen, Beijing and Shanghai.

5. The most frequently required skills of the highest-paid big data analyst are SQL, data analysis and PYTHON.

6. The industries with the greatest demand for big data analysts are the Internet, computer software and e-commerce.

Career prospects

The prospect of data analysts is optimistic and has made great progress. So we don't have to worry about the prospect of big data analysis. If the data analyst develops into business, he can eventually become a senior business expert, general manager or CEO.

If you are developing towards technology, if you have outstanding engineering skills, you can be the boss of the company's data science department. The common job title is data scientist.

If you have very strong theoretical ability, you can write a paper and be the head of the institute. My tutor is now the head of the data department of a scientific research unit because of his strong scientific research ability.