留学生找实习全职难,但没有那么难(终)

米其林总部导师:到底什么是数据岗

到底什么是数据岗?

Data Analyst? 

Business Analyst? Financial Analyst? 

Business Intelligence Analyst? 

Data Engineer? Data Scientist? 

到底有什么区别???

估计很多同学在找工作的时候都感到过迷茫。我想用简单的语言给大家总结一下这几者之间的联系与区别。

首先,他们之间本质上并没有什么区别,在理解商业需求之后,用不同的分析方法和工具来做数据处理、分析、挖掘,以充分发挥它的商业价值。

只是细分来说,它们之间的侧重点略有不同,Data Analyst和Business Analyst有很大的交集,但当公司需要基本的数据工作,像Data Entry类的工作的时候,会把职称命名为Data Analyst;

Business Analyst除了跟DA有交集的部分,还有就是不需要很多technical分析的部分,需要对Business Owner的商业需求进行理解和细化;然后分配给相应的technical people,这部分需要更多的是soft skills:collaboration/communication等。 

而Financial Analyst针对的是金融公司里的数据分析,用的分析工具和方法跟其他的有很多类似,但是需要有一定的金融/经济背景。

那么什么又是Business Intelligence Analyst呢? (留学生找实习全职难,但没有那么难(终)

也就是我现在的工作。大致来说,就是对公司的不同数据来源搭建数据模型然后进行分析挖掘,最后通过可视化工具展现分析结果,来帮助公司的Decision Makers作出决定,以使公司获得更大的收益。

需要有DA对数据进进行分析挖掘的能力,又要有BA的交流技能,但它于这两者之间不同的点在于,通过这一系列的建模分析流程,最终目的是建一个可视化工具,从而让Decision Makers直观地比较不同产品/策略的性能、收益等。

随着大数据这几年的飞速发展,公司意识到商业数据背后隐藏的巨大商业价值,而BI 的目的正是将其中的价值直观的展示出来,所以这几年,市场对BI Analyst的需求在大幅增长。

而Data Engineer的工作是介于Data Analyst和Software Engineer之间,不仅要会分析,还要进行分析工具或平台背后的搭建,涉及更多的编程。

说到Data Scientist,个人觉得只是给数据分析工作者起了一个更响亮的名字而已。

既然是scientist,那么肯定是要对某一个领域有着较为深刻的研究。整体来说,也就是对数据分析的每个环节都有着较强的能力。

但是也有很多公司为了吸引人才,把比较technical 的DA/BA 都给一个DS的title。其实工作内容上没有多大差别。

了解了这些不同且又类似的职称之后,是不是已经眼花缭乱了呢?

先不要慌!

其实这些职位用的工具和方法很多都是一样的!

通过上述的分析,你可以看到这些跟数据分析有关的工作内容其实有很大的交集,其实你只需要掌握以上工作基本都需要的几项核心内容,就已经有很大的就业面了,然后你可以再根据你的理想工作的特点进行针对性的学习,也会容易很多。

如果各位同学仍然有任何疑问或者困惑的话,欢迎找我咨询交流,希望大家都能找到自己心仪的第一份工作!

扫下方二维码进行一对一线上详细咨询,马上和职业规划师预约时间哦!

留学生找实习全职难,但没有那么难(终)

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留学生找实习全职难,但没有那么难(终)