Maestro como estas, quiero darte gracias por motivarnos desde el inicio, hace poco empece a trabajar como data analyst para una franquicia de petroleo aca en argentina y en parte creo que se debe a la motivacion y aprendizaje que obtuve de tus videos, gran abrazo!
I actually talked about data engineer but focused more on the analytics engineer role which to me is more interesting, has more potential and also is not so known
Thanks for this overview. I understand there are many sources stating average salaries, but I wonder how close these estimates are to people’s actual earnings. For example, the average for an entry level data analyst seems a bit high to me, at least based on what I am seeing in JDs. Or maybe, I’m looking at the wrong ones. Either way, I would like to hear from others.
For data analysts in London UK I can assure you that 35-40k gbp is a pretty achievable entry level salary. With that said, it all depends on location (outside London is obviously lower in the uk), benefits (some companies like Amazon can give huge sign on bonus) and experience so it’s very hard to get clear estimates. I always found that conversations with recruiters should give you a better idea - they are there to help you fill those jobs so it’s in their interest
I have a new video coming up where I talk about my prediction for 2025 - I won’t spoil anything for now and hope that video will clear all of your doubts 🙂
How? Where are you reading all this? I am a data analyst and whenever I ask AI to solve my issues OR implement something, it FAILS. I tried dozens of AIs, no good results. AI can only do simple tasks, not the complex ones. Not sure what group of people believe that AI will do the data analytics thing when it can't even solve a few issues of mine.
in the video I mention that I prefer the analytics engineer role cause it's less behind the scene, but obviously data engineer is also a good career. did you have any specific questions?
@@loresowhatBy your video title the focus should be on on demand and not which roles are less behind the scenes. The Data Engineer role is the most important data role.
I've been hearing that, in order to keep your job safe from AI, you should aim for more people-oriented roles. For example, some are saying that an analytics engineer role is safer from AI than data engineer roles. What are your thoughts on this
I totally agree and that’s also why my point in the video is to avoid behind the scene jobs.. one more point on this is to focus more on those where domain knowledge is key. It’s easy for AI to write lines of code but getting the business and domain knowledge is a completely different story.
Very interesting, thank you
glad it's helpful!
Maestro como estas, quiero darte gracias por motivarnos desde el inicio, hace poco empece a trabajar como data analyst para una franquicia de petroleo aca en argentina y en parte creo que se debe a la motivacion y aprendizaje que obtuve de tus videos, gran abrazo!
Thanks for the beautiful comment and good luck on your journey and career! I’m sure it will be great ✨
You missed Data Engineer which is backbone of any data project
I actually talked about data engineer but focused more on the analytics engineer role which to me is more interesting, has more potential and also is not so known
Nice video....but annoying background music... hope for the improvement ❤
thanks for the comment, will definitely decrease the volume in the next one or remove it completely!
Which one is better in future data science or full stack developer, is there any possible down data science
all the ones I talk about in the video are good options for the next years
Thanks for this overview. I understand there are many sources stating average salaries, but I wonder how close these estimates are to people’s actual earnings. For example, the average for an entry level data analyst seems a bit high to me, at least based on what I am seeing in JDs. Or maybe, I’m looking at the wrong ones. Either way, I would like to hear from others.
For data analysts in London UK I can assure you that 35-40k gbp is a pretty achievable entry level salary. With that said, it all depends on location (outside London is obviously lower in the uk), benefits (some companies like Amazon can give huge sign on bonus) and experience so it’s very hard to get clear estimates. I always found that conversations with recruiters should give you a better idea - they are there to help you fill those jobs so it’s in their interest
Hope this helps 🙂
Do you think Data analyst jobs are at high risk because of AI automation? We have been reading about that a lot!
I have a new video coming up where I talk about my prediction for 2025 - I won’t spoil anything for now and hope that video will clear all of your doubts 🙂
How? Where are you reading all this? I am a data analyst and whenever I ask AI to solve my issues OR implement something, it FAILS. I tried dozens of AIs, no good results. AI can only do simple tasks, not the complex ones. Not sure what group of people believe that AI will do the data analytics thing when it can't even solve a few issues of mine.
what about the actual data engineer role?
in the video I mention that I prefer the analytics engineer role cause it's less behind the scene, but obviously data engineer is also a good career. did you have any specific questions?
@@loresowhatis data engineering for freshers
@@shloktalhar3981no the data analyst role is the closest to entry level I believe.
@@loresowhatBy your video title the focus should be on on demand and not which roles are less behind the scenes. The Data Engineer role is the most important data role.
@@shloktalhar3981 there are definitely data engineering roles that are entry role and other for more senior 👍
What about buisness analyst!?
Also key role but didn’t include it here as I don’t consider it as a core data role if that makes sense (even tho they often work with data)
@@loresowhat yep
I've been hearing that, in order to keep your job safe from AI, you should aim for more people-oriented roles.
For example, some are saying that an analytics engineer role is safer from AI than data engineer roles. What are your thoughts on this
I totally agree and that’s also why my point in the video is to avoid behind the scene jobs.. one more point on this is to focus more on those where domain knowledge is key. It’s easy for AI to write lines of code but getting the business and domain knowledge is a completely different story.
@@loresowhat Yeah. I would definitely think that SQL won't help much if you don't know how to make money for a business