一份报告卖10万美金这才是真正“一字千金”的职业

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文章末尾有好处

月薪高达70K,没有上限;

一份两到三页的报告可以以100,000美元的价格出售;

人才缺口超过20万,就业率高达95%;

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不要惊讶,这是目前美国最受欢迎的商业商业数据分析的发展状况。

作为一个被市场强迫的职业,直到2007年,北卡罗来纳州立大学才开设了第一个分析硕士学位。自成立以来已有十多年,但发展势头不可阻挡。

商业数据分析专业目前是美国最好的就业专业之一。就业行业几乎涵盖了金融,银行,审计,营销,互联网和医疗等所有领域。

它绝对是一个体面和高薪的职业。截至2018年9月1日,美国商业分析的平均基本年薪达到117,867美元。

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如今,商业数据分析的火热状态也持续到中国。现在,就业市场中每个数据分析人才的出现都可能导致大公司竞争,甚至一些公司也做出了令人沮丧的“高价”。

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国内商业数据分析招聘工资

为什么商业数据如此昂贵?

1998年《哈佛商业评论》中记录的一个有趣案例可以解释为什么商业数据分析如此昂贵。

20世纪90年代,当沃尔玛分析销售数据时,发现了一个难以理解的现象:两件似乎与“啤酒”和“尿布”无关的物品经常出现在同一个购物篮中。

你想从洋娃娃里喝水吗?

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Wal-Mart's management was puzzling, and sent a data analyst to investigate this strange phenomenon of consumption. After analyzing a lot of sales data, the analyst found a ridiculous thing.

The wife often said that their husbands bought diapers for children after work. After buying diapers, 30% to 40% of the dads took the beer. If the supermarket only had diapers or only beer, they would change to have diapers and Beer supermarket purchase. This has caused the phenomenon that “diapers” and “beer” often appear in the same shopping cart.

After discovering this phenomenon, Wal-Mart made a small change to the order in which the goods were placed: put the beer and the diaper together.

Only this small change made Wal-Mart's sales increase significantly.

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In this story, decision-makers change the way they make their heads to make decisions, relying on sales data analysis to make the right business decisions, which is typical of business data analysis thinking.

In fact, it is not just the story of “diapers and beer”. It presents all the wonderful business cases in front of our eyes. If the source of the arguments is traced, it cannot be separated from the underlying data support.

Of course, what is expensive is not the data, but the analysis of data analysis, and the conclusion that guides the decision-making of the enterprise through analysis.

Development status of domestic data analysis

Despite starting in the United States, the fastest growing commercial data analysis in the future is in China, because China has a unique advantage: it has the largest user base in the world.

In particular, Tencent and Ali are giant Internet companies that have a large amount of user data. Among them, Ali almost played the value of the data to the extreme. For example, the product push mechanism is more accurate than the mind-reading, and the credit system established by Alipay is better than the bank. With the moat of great data, Ali has established itself as an unshakable position.

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Sesame Credit

China's big data industry market, it is estimated that by 2020 China's big data industry will reach 10 billion yuan, and the compound growth rate will reach 29.25% from 2015 to 2020.

And business data analysis is the main way to make big data commercially valuable.

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Companies in almost all areas are now focusing on big data, and companies want to use data analytics to support company operational decisions. There is no doubt that commercial data analysis will become a "golden rice bowl" in the 21st century.

And data analysis is no longer just a "professional" of data analysts, it has become an essential capability requirement for all walks of life.

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Netease Recruitment

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Recruitment

In the post, sales, marketing, operations, planning, products, etc. need to achieve effective growth through data analysis; financial, legal, personnel and other background posts need to improve efficiency through data analysis.

In the industry, new media needs to know the user's reading habits; the retail industry needs to get user spending habits.

Even if you don't engage in business data analysis, mastering certain data processing capabilities will be an absolute plus in your workplace.

A career that is friendly to business and liberal arts

If you compare data to the “oil” of enterprise development, then mastering how to refine it into usable intelligence is the key to unlocking its potential.

Refining data requires you to have skills in mathematics, statistics, and computer foundation;

Forming a conclusion requires you to have knowledge in business, finance, and humanities.

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Skills required for business data analysis

Do you think these are boring and difficult?

xx事实上,业务数据分析从未像您想象的那样难以入手。这是一个对商业和文科都很友好的企业。 TA不要求您拥有深厚的计算机背景或编程基础。

只有你需要一位专业和权威的导师才能引领潮流,而Wanmen很幸运能够邀请数据分析行业的两位顶级专家。两位导师将带您了解实际业务案例,学习业务数据分析的问题解决框架,掌握数据处理。方法。

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赵硕

华为前高级工程师

数据应用学院专家讲师

南加州大学(南加州大学)EE硕士

十年的海外工作和创业经历

在华为任职期间,赵硕先生主要负责网络安全。他经常学习网络和数据。离开华为后,他与许多在美国工作的工程师携手共同在北美开展了第一次培训。项目实习等一站式人才运输机构已将大量人才派往北美各大网络公司。

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尼克

普渡大学博士和MBA专业

哈佛MPH专业人员

现任AT& T大数据集团业务数据分析经理

曾担任罗氏诊断罗氏数据分析顾问

10年的业务数据分析经验

你会明白的

如何使用数据推动公司的业务发展;

在Excel和SQL中查询和创建数据表并调用数据库;

掌握构建数据可视化图标和模型预测的能力;

从而深入了解商机并利用数据做出高级业务决策;

学习使用数据讲述一个好故事,为成为高薪数据分析师打下坚实的基础。

在学习本课程后,一些学生已成功转入商业数据分析行业。其中一个是搬到一家知名广告公司,一份数据报告以数千美元的价格出售。

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目前,商业数据分析在中国几乎是一个全新的概念。北京大学于2018年在光华管理学院设立了商业分析专业。现在是加入这个行业的最佳时机。

谈到商业数据的未来发展潜力,北京大学光华管理学院教授涂云东坚定地表示:“商业分析将成为市场需求最大,含金量最高,前景最广阔的最大市场。经济学和商业相关学科。“

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如果您是一名学生,并希望在毕业后进行数据分析,那么您无法找到方法;

如果您在传统行业,您希望切换到数据分析,但不知道如何开始;

如果您从事当前工作,则需要使用数据分析,但不知道如何学习和改进;

如果您目前正在从事数据分析,那么您不知道自己的职业道路在哪里,而且您对未来感到困惑;

.

你可以从以上所有难题中找到答案。

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数据分析技能可为您带来巨大的业务价值,并支持每项业务决策。我相信数据驱动的商业价值在不久的将来会变得越来越重要。

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