商业智能分析师

高风险
66%
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投票 评论 (9)
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自动化风险
计算出的
74%
(高风险)
投票
58%
(中等风险)
Average: 66%
劳动力需求 *
增长
36.0%
到2033年
工资
$108,020
或每小时 $51.93
体积
192,710
截至 2023

就业数据在劳工统计局对这个职业并未具体提供,所以我们正在使用来自Data Scientists的数据。

摘要
工作评分
5.9/10

人们还浏览了

计算自动化风险

74% (高风险)

高风险(61-80%):这个类别的工作面临着来自自动化的重大威胁,因为他们的许多任务可以使用当前或近期的技术轻松自动化。

有关这个分数是什么以及如何计算的更多信息可在这里找到。

工作中的一些相当重要的品质难以自动化:

  • 原创性

  • 说服

用户投票

在接下来的二十年内,实现全自动化的可能性为58%

我们的访客投票表示,他们不确定这个职业是否会被自动化。 然而,我们生成的自动化风险等级表明自动化的可能性要高得多:有74%的机会会被自动化。

你认为自动化的风险是什么?

商业智能分析师在未来20年内被机器人或人工智能取代的可能性有多大?






情感

以下图表在有大量投票数据时会显示。这些可视化图表展示了用户投票结果随时间的变化,提供了情感趋势的重要指示。

随着时间(每年)的情绪变化

增长

相对于其他职业,非常快速的增长。

预计"Data Scientists"的工作空缺数量将在2033内增长36.0%

* 根据劳工统计局的数据,该数据涵盖了从2021到2031的期间。
更新的预测将在09-2024到期.

工资

相对于其他职业,薪酬非常高

在2023,'Data Scientists'的年度中位数工资为$108,020,或每小时$51。

'Data Scientists'的薪资比全国中位工资高124.8%,全国中位工资为$48,060。

* 来自美国劳工统计局的数据

体积

与其他职业相比,更大的就业机会范围

截至2023,在美国有192,710人被雇佣为'Data Scientists'。

这代表了全国就业劳动力的大约0.13%

换句话说,大约每787人中就有1人被雇佣为“Data Scientists”。

工作描述

通过查询数据存储库并生成定期报告来生成财务和市场情报。设计识别可用信息来源中的数据模式和趋势的方法。

SOC Code: 15-2051.01

资源

如果您正在考虑开始新的职业生涯,或者想要换工作,我们已经为您创建了一个方便的工作搜索工具,它可能会帮助您找到那个完美的新角色。

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评论

Ayush Vaishnav (不确定) 2 months ago
This is uncertain because a mindset, an observation that a person can have, may be impossible for AI to take over.

It is a field where people usually believe in other people rather than AI.
0 0 Reply
JR (低) 10 months ago
Employers may want to replace current data workers but this may never come to be if the current offerings are anything to go by, AI tools in the analysis field struggle to produce satisfactory results...don't believe me? go ahead and try out CoPilot with even something as simple as Excel.

The ETL process is also a complicated, one which most AI is not nor ever may be able to handle, data needs to be cleaned and standardized before AI can take a crack at it, the "AI" and yes I have to put that in quotes does not understand the context of anything, it is a prediction model using gradient boosters that performs quite well under controlled circumstances, thrown into any critical thought role it starts to lose pace. Furthermore nobody who works in the AI space authoring models ands understands the inner workings of "AI" treats this as anything more than a highly sophisticated toy...maybe in another 10 years we can come back to this question and see if we should start to worry.
1 0 Reply
Andrew Groom (极有可能) 1 year ago
It's 2023 now and chatGPT4 can already do a lot of the components of a BA. Won't be long now..
0 1 Reply
Sam (适度) 1 year ago
Once a data model is available, a lot of the tasks can be automated. However, I don't see how computers will be able to bypass data quality issues and still give complete and correct data.
1 0 Reply
feiza Mohamed (适度) 1 year ago
Because business analysis may not be very reliant on human operation, it may be analyzed by machine using a sequence and pattern of human behaviour
0 0 Reply
Rahul (低) 2 years ago
Still requires human elements like critical thinking.
1 0 Reply
Paul Norman (低) 2 years ago
As a BI analyst, I automate my own job every chance I get. Data, business requirements, and technology are constantly changing.

I spend half of my time maintaining, tweaking, and fixing automation jobs - these include dashboards, data sets, and database tables.

It requires a technical person who is also an expert in their business domain to translate business requirements into data or reports that others need.
0 1 Reply
Honey shunga (低) 3 years ago
A business analyst is all about identifying the critical areas in which it needs improvement which a manual or human-dependent work system.
0 0 Reply
Feiza Mohamed 1 year ago
i don't agree since the statistics can be easily programmed into the computer
0 0 Reply

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