What is data analysis? What can data analysis do?

Recently, many people around me are shouting that the money is not enough to spend, the salary increase is small, and I have no special skills.

I especially understand this feeling of powerlessness: many people don’t want to be satisfied with the status quo, thinking about how to get a promotion and salary increase, and increase some extra income, but they can’t find the direction.

I happened to meet a girl recently, and her earning ability really gave me a 10,000-point crit.

Share her money-making skills to give you a little inspiration.

1



With an annual salary ranging from 150,000 to 700,000, what did she do right?

After graduating from an undergraduate degree in 2018, the girl went to a business inquiry platform in Beijing to make products. In 3 years, her annual salary has increased from 150,000 yuan to over 700,000 yuan a year.

I am very surprised, how can such an ordinary young man who has no background and cannot fight for his father achieve such a salary level 3 years after graduation?

(To satisfy my curiosity, the girl also showed me a screenshot of her salary card.)

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After chatting with her, I found that her learning path and way of doing things are really amazing, especially her thinking and insight in data, which really deserves this salary.

The girl said that when she first graduated, she was in charge of the product tuning module, and often asked for statistical data to make tuning suggestions for R&D.

Because she often helped her master to make charts during her internship, and when other fresh students were still collating data and studying Excel formulas, she was already able to make such beautiful charts very efficiently.

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This became the first business card of her work results. She quickly stood out among the new employees in the same batch and was transferred to the project team by the leader.

After joining the project team, she specialized in "visualization charts" and drew on the analysis reports of top consulting companies. The charts she made are like this.

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Such a beautiful and professional chart has suddenly improved his reputation in the company, and the leaders have greatly appreciated it.

But it didn't take long for her to find that she had dug a hole for herself. Because the charts are well done, all the messy reports in the department are given to her to do.

Instead of analyzing the data, the key points and conclusions of each report must be refined by the leader. She found herself slowly becoming a "tool person" who specializes in beautifying charts.

Realizing this, she learned about business-related metrics while taking a systematic course in data analysis. After more than 2 months, she has been able to skillfully extract information from the data to improve the business and optimize the process.

Due to her outstanding performance, in less than half a year, she was favored by the boss of the business department and transferred to her side to focus on training, which made her more mature in business applications and made rapid progress in data practice.

Now, at a young age, she is already a business analyst at the company's strategic level. Not only does she have a decent income, but her future career development is also bright.

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From her experience, it is not difficult to see that mastering data analysis skills, in addition to being able to make cool visual charts, more importantly, can combine specific business, locate the reasons behind the data, and come up with solutions.

In the workplace, such talents can not only quickly gain differentiated competitiveness in a short period of time, but also continue to broaden the boundaries of career development, allowing them to maintain and increase their value.

2



Data analysis ability is the "black weapon" in the current workplace competition

Now open any recruitment website, whether big Internet companies or traditional enterprises, are all looking for data analysis talents, and a large number of positions require "data thinking" in the recruitment conditions.

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According to data from CCID Think Tank, by the end of 2018, there was a shortage of 600,000 business data analysis talents, and by 2025, the gap of such compound talents who understand business and data will reach more than 2.3 million.

On the one hand, the shortage of data-based talents is increasing, and on the other hand, the setting of data majors in colleges and universities lags behind the market demand, and the number of graduates in data-related majors is small and has limited practical experience. Therefore, even if many companies are willing to pay a 20%-30% job premium, they still cannot find suitable talents.

A lot of people think, I don't want to be a data analyst, what's the use of me learning this skill? "

The essence of data analysis is to assist business decision-making and drive business growth through data. Therefore, it is almost a panacea for all walks of life.

for example:

If you are a product manager: in the early stage, you need to use data to analyze user behavior and tap user needs; after the product is born, use data to monitor user behavior, test product functions, and promote product iteration.

If you are an operation: Before the event goes live, you need to do A/B testing, and feedback the results through data to verify whether the event meets expectations; after the event goes live, you also need to analyze real-time data to adjust the promotion rhythm and promotion actions.

If you are the market: You need to use the input-output ratio (ROI) to judge the traffic effect of each channel, and find the optimal channel.

Even if you are just the most common clerk in a traditional industry, you may not be able to see the diligent and diligent leaders behind you, but if you use a visual data analysis chart when reporting your work, it will definitely exceed the leadership's expectations and make His eyes lit up.

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Generally speaking, people who understand data analysis are more likely than others to gain insight into the nature of the business and gain the favor of leaders. It is difficult to master such a treasured skill without being promoted and raised.

3



Is data analysis hard to learn?

When you see this, you may think: "This data analysis is too powerful, isn't it particularly difficult to learn? When I see those codes, my brain hurts."

This misunderstanding is really big!

Data analysis is to solve problems at work, so we learn thinking and methods, not complex codes. Generally, people who have a little understanding of business can master it.