Importance of data analysis

— Sum up from a course
One ． Why data analysis is important
In practical work, whether it is a professional data analysis post , Or operation 、 Products and other positions begin to pay attention to the data analysis ability of practitioners , The operation needs to solve the traffic through data analysis 、 User growth ; Products need to use data analysis to solve business growth needs . No matter what position you are in , With data analysis thinking , Data can be used to mine business value , You can also look at the company's business more macroscopically and create higher personal value .
Two ． Which positions will use the skill of data analysis
At present, many domestic companies , In fact, the division of responsibilities of data analysis posts is not very clear . There is something wrong with the business , Find a data analyst ; There's a problem with the data , Find a data analyst ; There are problems in operation , Find a data analyst ; There's something wrong with the product , Also looking for data analysts .
3、 ... and ． What are the types of positions for data analysis
1. Job type
Distinguish from the nature of work ： It is mainly divided into data engineers 、 Business analysts 、 Business Analyst 、 Product analysts .
Distinguish from workflow and content ： Mainly the data collector 、 Data acquisition Engineer 、ETL The engineer 、 Data operation and Maintenance Engineer 、 Data Algorithm Engineer 、 Business Analyst 、 Visualization Engineer .
2. Each job description
（1） Data Engineer
There are many positions for data engineers , Mainly responsible for data warehouse 、 Data center 、 Data model , wait , The main work is also determined according to the specific responsibilities , Many people usually turn to engineers when they finally take the professional and technical line .
（2） Business analysts
Generally speaking, business analysts study industry data and competitive product data , Then study enterprise development 、 Providing strategic decision-making guidance for the company's decision-makers . This position should not only be familiar with the business , Also be familiar with the industry , The technical requirements are not very high .
（3） Product analysts
Product analysts are mainly responsible for product data collection , Deep analysis and mining , Make operational decisions for the company 、 Product direction 、 Sales strategy 、 Media delivery strategy provides data support, etc .
（4） Data collector
Commonly known as “ Cousin, cousin ” Is the data collector , It belongs to the most elementary position of data analysis , The job is to use SQL And other data collection tools to collect data from the database .
（5） Data acquisition Engineer
Data acquisition engineer belongs to the senior position of data collector , In addition to facing database data , Usually, script data is also required 、 Web data 、 Acquisition and collection of product function data .
（6）ETL The engineer
Mainly facing the database 、 Data center or data platform , The main work content is to be responsible for the cleaning work after the data is extracted from the database , Like slicing 、 cutting 、 Subdivision, etc .
（7） Data operation and Maintenance Engineer
Data maintenance personnel are needed on the data platform , The junior position is data operation and maintenance engineer , Mainly responsible for the management of data platform , Task scheduling, etc .
（8） Data mining engineer
The main work is to process the data algorithmically in the data modeling stage , For example, the common recommendation algorithm 、 Mining algorithms 、 clustering algorithm , wait . Among them, data algorithm engineer belongs to the senior position of data mining engineer , This position mainly manages the data of the entire data Department , It breaks away from the technical post nature of data mining , And become the nature of management positions .
（9） Business Analyst
Mainly for specific business problems , complete “ Business problem positioning ”-“ Data collection ”-“ The data processing ”-“ Data processing ”-“ Data visualization ”-“ Plan implementation ” The whole process , Provide decision-making basis for business departments or companies .
（10） Visualization Engineer
Visualization engineer is a special position in data analysis , It pays more attention to the use of tools , The main responsibility is to make use of FineBI And other tools for visual display of data , For example, report visualization 、 Large screen visualization 、 Report visualization and other work .