Hey all! I'm writing a blog for those of us trying to get into the "data science" space (I know that is a shamed name but it's what people know it by). The goal of this blog is to bring the reader along for my journey learning and applying the skills needed by data analysts and even getting the first job and moving up.
I'd like your help understanding what roles exist at companies in the data science space, especially in FAANG.
Starting at the very bottom, what skills would each of these roles exhibit. What are the REAL expectations of a data analyst (and other roles), not just the junk they toss on job descriptions? What tools should one know how to use, are "free" alternatives to those tools accepted for people who can't bear $70+/mo. just to learn and experience (I'm looking at you, Tableau). Arguably the most important part, if you were to hire a data analyst, especially one without a degree, what qualities would make someone stand out, and land them the job over someone with a degree.
Hey Neil, are you able to share a link to your blog? We'd love to check it out and add it to datacareers.io/resources.
I'd love to but right now it's been put on the back burner. Life happens, and a few weeks ago it happened to me and I have not the time to keep up with it at the moment.
I'll let you know as soon as it fires back up!
Here are some job titles from analytics to software dev focused then to more modeling focused. They cover a very wide range of scope and skills required, probably not a great idea to lump them into one treatment.
Business Analyst
Data Scientist
Data Engineer
Machine Learning Engineer
Applied Scientist
Research Scientist