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 🙂
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?
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.
You missed Data Engineer which is backbone of any data project
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 🙂
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.
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)
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