What is a data analyst?

Collect data, calculate data and provide data to other departments in the enterprise.

What is the use of data analysis?

From the perspective of workflow, there are at least five types of analysis that are often carried out:

Plan analysis before work: analyze what is worth doing.

Forecast and analysis before work: forecast the current trend and forecast the effect.

Monitoring and analysis in work: monitoring the trend of indicators and finding problems.

Cause analysis in work: analyze the causes of problems and find countermeasures.

Analysis of complex disk surface after work: accumulating experience and summing up lessons

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What is data analysis?

Data analysis is generally divided into three steps:

1: Get data. User behavior data is obtained by burying points, and internal system data is opened by data synchronization. And set up several warehouses and store data.

2. Calculate the data. According to the analysis requirements, extract the required data, calculate the data and make tables.

3. Explain the data. Explain the meaning of the data and draw some useful conclusions for the business.

So do data analysts mainly do the above three points?

Not exactly. This is different in different enterprises. If the company is large, obtaining data is often done by the data development team, and their positions are generally "data development engineers" or "big data engineers". Interpreting data is the operation of writing ppt for interpretation and handing it over to "data analyst", which is actually a step of calculating data in the middle.

Some companies (usually doing e-commerce) directly export data from platforms such as Taobao, Tmall and Amazon, and then make analysis based on these data. Some companies (usually traditional enterprises) directly use large-scale BI products, and then conduct data analysis based on all BI products. Some companies are small in scale and do everything from data embedding to data retrieval directly by one team.

In a word, the situation is varied.

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