What does a data analyst do?

Collects data, calculates data, and provides data for other departments to use in an organization.

What is data analytics for?

From the perspective of workflow, there are at least five types of analysis is often done:

Planning analysis before the start of the work: to analyze what is worth doing

Prediction before the start of the work: to predict the current trend, the expected effect

Monitoring analysis of the work: to monitor the trend of the indicators, to find the problem

Working Cause-based analysis: analyze the causes of problems and find countermeasures

After work, review-based analysis: accumulate experience and summarize the lessons learned

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What is data analysis?

Data analysis is roughly divided into 3 steps:

1: Acquire data. Through the buried point to obtain user behavior data, through the data synchronization, through the internal systems data. As well as do the construction of the number warehouse, storage data.

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

3: Interpret data. Interpret the meaning of the data and derive some conclusions that are useful for the business.

So do data analysts mainly do the above three things?

Not really, this varies from company to company. If the company is large, getting data is often done by the data development team, whose position is usually "data development engineer" or "big data engineer". Interpretation of the data is the operation of their own PowerPoint to do interpretation, leaving the "data analyst", in fact, is the middle of the calculation of the data step.

Some companies (generally doing e-commerce), the data is derived directly from Taobao, Tmall, Amazon and other platforms, and then based on these data to do analysis. Some companies (generally traditional enterprises), the data is directly with the large BI products, and then all the people based on the BI products export data analysis Some companies are very small, it is directly a team from the data buried to the number of warehouses to mention the number of all dry.

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