It was a small, dark restaurant, and snow was falling heavily outside.

Lin Cong shook his coat and came into the shop. He ordered two catties of cooked beef and a pot of soju.

“Small 2, recently what job has a future?”

The second mistress looked at Lin Cong and saw the guest officer in front of her, wearing a half-worn suit and a pair of black-framed glasses in a half-hidden pocket. Look like an old bad guy from a distance, look like Zhu Shimao general, more see more feel that there is a job for him.

“Mistress, you stare at me.”

“Guest officer, please wait for me to explain in detail.” Then he dipped his finger into the tea on the table and drew a chart of baidu index.

On the Baidu Index, the search index of data analysts is also growing.

Lin Cong listened to rise, moving a stool to sit in, see small er draw out of thin air a browser, scrutinize is representative of the future ie8.0 interface!

“Here we go. I type in www.zaoshu.io, which is creating data technology. Let’s look at the data from data analysts on the Internet.”

Small two said rise, has entered the territory of no one.

“Dax has scoured thousands of job boards to come up with some interesting results about what companies are looking for.”

First of all, people are most concerned about salary

It can be clearly seen that 10K – 30K is the most distributed, but also to see the part below 10K. Data analyst really is a high-paying job.

Before we get too excited, let’s read on.

Experience requirements

Most companies require 3-5 years of experience in the position, followed by 1-3 years. While 10 percent of companies don’t require experience, it can be difficult for new grads to find data analysis jobs.

Degree required

More than 80 percent of companies require a bachelor’s degree, while 6.2 percent require a master’s degree.

Finally, let’s look at skills.

After removing some unnecessary words, the order is:

  1. mysql
  2. The database
  3. SQLServer
  4. hive
  5. sql
  6. python
  7. The data warehouse
  8. product
  9. management

Data analysts must learn about databases, but they can also learn Python to compete.

Having looked at the data analyst’s skills requirements, let’s look at the company’s numbers. Is it a good company looking for our heroes?

Demand for data analysts is strongest in companies with 100-499 employees, and large companies need a lot of data analysts.

Startups need the least data analysts.

Many do not need to raise capital or are already public. Representatives of companies that do not need financing:


Lin Cong listened to have very feeling, said to go to deliver resume.

Small two eyes see said finished, said to walk on the guest room, pointing to the above this beautiful scenery said: “of course analysis above such graphics is also very interesting!”

conclusion

Data analyst is a high-paying position that requires some work experience and database knowledge.

Finally, give some websites to help you learn about data analysis

  • How to learn MySQL database by yourself?
  • SQL tutorial
  • How do you start learning Python with programming Basics?
  • How to become a data analyst quickly?

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