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I am looking for a Registered Nurse for our Broken Arrow office. We currently have a $1,000 Sign On Bonus and it comes with a flexible schedule. Do you know anyone who might be interested?
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Cornell or McCombs for consulting?
Hi fishes,I have around 5.2 yrs of hands on exp in data engg. and able to clear service based companies interviews easily.Now I want to switch to product based companies as I am looking for some good work,good salary but I am not really strong in dsa as it's not part of my daily work.I don't really use trees and graphs as part of my daily work.
How shall I switch to product based companies considering DSA is their 1st round itself.what level of DSA can I expect from companies for data engineer position?
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Anyone else getting screwed by the FB/IG API???
Friends - I am looking for the perfect fit for a Manager role on my team! The right candidate has experience with measurement of owned social channels, influencer and earned. Bonus points if you have social listening experience or you love to stroll the isles a certain retailer when you’re feeling sad.
https://jobs.lever.co/djeholdings/280d515c-3e04-4c01-b639-0967b815fe84
Best website(s) or resources to learn SQL?
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Mentor
I’ve found it easier to ask yourself: What do you want to do? Instead of naming what you don’t want to do
So what're you looking to do
Mentor
Seeing OP hasn’t responded with what they want. I’ll make a few assumptions:
1. You’re potentially bored with your current role but you’re not sure what’s “better” out there.
There’s nothing wrong here but it signals you’re inexperienced because you haven’t tried enough projects to know what you want.
Not many employers would want to know you’re “trying them out”. They want to know you’ll be happy with them (even for a while). Always think about the other POV: would you hire someone who isn’t sure about how they would enjoy the role for the next 12 months? The interviewer knows if you’re truly interested.
2. Let’s introduce a framework to see where you are and where you want to be: Descriptive-Predictive-Prescriptive.
Of these three, what can you do really well (and be paid to do it) and what do you desire to do, but you’ll need training and learning to get there (you should not be paid to do these things)? Note: There’s also data engineering (databases, ETL, etc) which is part of the process, but not really within this analytical framework. One can also make very good money here.
Please do not be discouraged: this framework is here to help you realize any gaps and know the next role, like all new roles, WILL require upskilling/upgrading.
You’ll need to find opportunities in your current role to expand your skill set (volunteer to do side projects) or pay someone to teach you (bootcamps, grad school).
After these initiatives, you’ll know better what you want and can answer the earlier question. You’ll also be better prepared for the interviews.
3. We haven’t talked about title and compensation yet. I figure this really is secondary to what you want to do. Imo, someone should not be asking for a bigger title if the context is I’m teaching them how to do something outside their skill set. If you’re already a master at it, I’ll give you the bigger title and/or pay.
4. Of course, all these points go out the window if you’re asking on behalf of someone else. At which point I would reiterate: I’m going off my assumptions
Mentor
We’ve all been there in some ways. Isn’t it called mastering the role, outgrowing it, and getting bored?
The thing about analytics is it requires reporting: and you need to do the reporting for the insights to come out. You have to massage it, come at it at different angles, eventually you formulate shortcuts/templates to tackle a recurring analysis, and you can keep repeating it.
However, it does get boring.
The same goes for GA work too: albeit you’ll be doing something new for a while. It will feel novel, then it won’t.
This is every job/every profession except maybe consulting. Even in consulting, there are frameworks you will need to learn to quickly do a project.
In most predictive models, you’re checking assumptions (ie linearity) and poking holes at your model, but one can create mental shortcuts for such things as well. It will eventually be repetitive.
Careers are about finding something you take joy in repetitively doing, mastering, and get paid a lot for mastering it. This is the specialist career strategy.
Note: There are also careers where you master being able to do ambiguous tasks: learn quickly, do a good enough job, move on. You never really master something here. This is the generalist career strategy.
I hope this finds you well. I am bowl leader, please PM me if you would like to privately chat about this in a 1-1 setting
I am not hiring rn but there are plenty of analytics adjacent roles with little to no reporting on the audience stack/data architecture side of things.
Not hiring but outside of reporting what I do most is to support other departments with data. A data driven approach company. You can help inform and support decisions based on audience, product demand, user behavior etc etc etc. that’s the side of data analytics that I love doing most
Mentor
That’s a great role!
But doing these projects do require some “reporting” too, isn’t it?
Not sure if OP is just referring to repetitive/productized/template reporting.
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Lmao you are trying to charge for referrals