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xXOGLEGENDXx

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Data Analytics and Data Management is becoming more and more important for companies. There is a demand for it and it will only increase.
The skillset is easily transferrable from company to company too.
My job hired like 4 Data Analyst on our team since November. I looked internally and see they are being posted well around $120K+/yr

SQL, Python, Excel, etc are easier to learn than you think. Get into that and teach yourself at home. Get into some entry level stuff.
Hell you can even get some AWS Data certs fast. Exams are only like $200 and a lot of companies will even reimburse you for it.

A lot of people get intimidated by Data. There is a lane for this and the best part is 99% of it can be remote. There are tons of remote jobs.
Don't fall for the AI hype, trust me. Most people don't even know how to properly use AI for what they need.



Some great places to get started/courses:
YouTube University
Udemy
Data Camp
Coursera


I have been watching this guy for years. Really good info.
Alex The Analyst
 
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... As a data engineer who just finished his day having his first meal at 4pm, having a list of 7 things to do and getting none of them done because my bosses boss had a request we had to work on for the past 3 days.... I'll cosign this in a couple days when I'm recovered. 😮‍💨

Heavy SQL, python, and Java/scala. I don't have any certs, but I am experienced in AWS and some azure, though when I was job searching it was mainly AWS or gcp environments.

I dunno where AI is headed in this environment, but make sure you get comfortable using it to speed up your ability to develop solutions
 
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... As a data engineer who just finished his day having his first meal at 4pm, having a list of 7 things to do and getting none of them done because my bosses boss had a request we had to work on for the past 3 days.... I'll cosign this in a couple days when I'm recovered. 😮‍💨

Heavy SQL, python, and Java/scala. I don't have any certs, but I am experienced in AWS and some azure, though when I was job searching it was mainly AWS or gcp environments.

I dunno where AI is headed in this environment, but make sure you get comfortable using it to speed up your ability to develop solutions
What are you making yearly?
 

Fill Collins

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That's pretty much mandatory even if you just maintain a simple Google Sheets page for any online side job

Any online classes you recommend?
Google's course on Udacity helped get me started with excel and SQL after not needing it since high school

Otherwise just look up anything + free course and you'll find something for your learning style

There's soooo much free stuff on DA
 

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What are you making yearly?
Without moving into management, the salary range when I was conducting my job search last year was 140k-180k in NYC (will probably have to adjust for your city). I think if I would have tried for management I could have gotten to 200k total.

Now that I think about it, I don't know how open junior or entry level positions are these days. But also, I think some companies don't know how to evaluate, because there were a couple "senior level" positions, that I look back and I didn't really answer any tough questions, they offered like 120k-130k.
 

FaTaL

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Data Analytics and Data Management is becoming more and more important for companies. There is a demand for it and it will only increase.
The skillset is easily transferrable from company to company too.
My job hired like 4 Data Analyst on our team since November. I looked internally and see they are being posted well around $120K+/yr

SQL, Python, Excel, etc are easier to learn than you think. Get into that and teach yourself at home. Get into some entry level stuff.
Hell you can even get some AWS Data certs fast. Exams are only like $200 and a lot of companies will even reimburse you for it.

A lot of people get intimidated by Data. There is a lane for this and the best part is 99% of it can be remote. There are tons of remote jobs.
Don't fall for the AI hype, trust me. Most people don't even know how to properly use AI for what they need.
why isnt ai taking that over?
 

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why isnt ai taking that over?
I think in this space, people are still trying to figure out what the correct life cycle for training the models, releasing the updated/trained model, and what the cicd pipeline looks like for that. So the actual data scientist/machine learning specialists are like doing their thing, but since its tech and code, they need to figure out how to bring it in under the IT suite.

As far as coding, my company has started looking into co-pilot and whatnot, but they're still seeing hallucinations and that's not good in an industry that is answerable to government regulations. We're also still dealing with a non-technical user base and analysts who wouldn't be able to tell AI their issue in a way AI will be able to give them a proper answer.

And on the data engineering side, we're working with terabytes of data, pipelines that run everyday. I'm not as savvy with machine learning, but I would think it would take a looooooooooot of training to get an AI model to deal with the business logic on this mass of data. That would require more hires in the interim...they're kinda cheap, lol
 
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