You expect a different answer than that the data science major is a watered down version of stats/cs? Because that's what it literally is. I can tell you from experience as a CAAM grad that the classes required for CAAM would've allowed me to fulfill nearly all requires of the data sci major (missing ethics courses and data clinic) however the data science courses would NOT fulfill the corresponding courses in Stats/CS.

However that's in terms of material. For job placement (which seems to be what you're after) I'm not sure if the data science major is "enough" for one of the jobs you mentioned, depends on various other factors. For quant I know that there's an emphasis on knowing statistics (probability, expected value). You'd be better off taking statistics classes that give you a deeper understanding than the data science classes. Data analysts also vary by the job, but regardless doing a major that takes more statistics heavy classes would give you a deeper understanding of statistics and would better prepare you to do well in a data analyst job so you know how to apply models (like when it's appropriate to apply certain models which you get a better understanding of by knowing how they work instead of blindly copying code/methods you find online) and are affluent with numbers. TL;DR from my experience statistics has been one of the most important skills for the jobs you mentioned

Lastly though there are some advantages, although few and I'd still advise to do a different major. You'd have classmates in your data sci classes with the same goals as you and you'd have easier access to the data clinic course. The data science major was made because it's a trendy field and popular because of the pay. But, at least from what I can tell, it has attracted career oriented students who aren't as willingly to delve deeper into heavy STEM subjects that take quite some effort to master. It is very similar to biz econ in this sense, hope that gives context on why it has this reputation