Got a decent raise despite slow year for banks.
Could be a reference point for fellow IT ppl.

Job Title : Analytics/Business Intelligence Developer
Job Desciption : design and develop the bank's data solutions.
Years spent in company : 1 year
Industry : Banking
Age : 27
Employment Level : Exec
Experience before joining : 4 years
Highest paper qualification/ education background : Degree
salary : $5500 / ~ RM 16.5k
Location: SG

Yup an IPTA degree that only costed me RM 7000 in fees.

Nope. I'm on MSBI.
Currently doing PoC with next gen data visualization tools like Stoic.

Finally got my dream job.

Job Title : BI Engineer
Job Desciption : everything data/BI related
Years spent in company : New offer
Company : Top social media company
Industry : Tech
Experience before joining : 4 years
Highest paper qualification/ education background : Local IT degree, MCSE: BI
Salary : slightly over /k standard in MYR
Location: SG

"Where there is a will, there will be a way."

Couple more years to 30.

After further comm. with the headhunter they're actually paying up to $110k for this role, should had asked for more.

Yeah wouldn't deny that luck played a huge role.
Met all the 'right' people in my earlier career days.

Heck, I used to hate what I'm doing now when I just started working.

TBH you're slightly underpaid since you're in MSFT.
With that job scope and experience you should be in the 5 figure bracket.

A senior consultant in MSFT consulting unit (Avanade) get paid anywhere from 8-12k, and that was like 2-3 years ago.

Updates.
+ inspiration for my fellow countrymen

Job Title : BI Engineer
Job Desciption : Take care of BI stuffs/processes.
Years spent in company : 6 mths.
Company : Social media.
Industry : Tech.
Experience before joining : 4 years
Highest paper qualification/ education background : degree, mcse:bi etc.
salary : myr equivalent of ~rm28k thanks to myr depreciation
Location: SG
Workload/stress: 11am masuk office 5pm balik.

Thinking to do internal transfer to Auckland sometime next year.

This post has been edited by V-Zero: Nov 20 2016, 12:45 PM

Best workplace, ever.

Kangtao no vacancy got.

We're always looking for data engineers with strong software engineering background + decent math/stats exposure. Think data scientist.
Language specific skillset not that critical as we run all kind of platforms you're bound to know at least few of them.

Expect to discuss things like code complexity, O' notation, optimization etc.

As I wrote in my previous reply:



We never expect to hire people who knows everything. (duh)
We emphasize more on generic software engineering principles, say, when do you use recursion vs nested loop? Your justification and its time/space complexity etc.

If you have good foundation in SE and some fundamental statistics knowledge in things like regression, clustering, segmentation etc. (machine learning, data mining yada yada I'll stop here or it'll be 10 pages )
It's relatively easy to learn and work with new tools and platforms that share the same paradigm.

And of all, they pay well for some reasons.

I guess you'll land somewhere 10-15k if you have some 8-10 years exp.

BI/analytics talent demand outstrips supply by a huge margin everywhere in the world.
But yeah don't see a point to go back honestly.

Unless I met my financial goal and are going back to semi-retire.

This post has been edited by V-Zero: Dec 5 2016, 02:32 PM

Yeah am with fb.
Qlik, yeah, the leader, in terms of pricing.

I favor MSFT Azure/AWS more, they're cheap.
With the right talent you get absolute value for money.

This thread is a prime example of stop comparing your <insert_metrics_here> with others.

At best it tells you you're underpaid, at worst it makes you feel like shit.
Compare with no one but yourself, be better than the you yesterday is all that matters.

For the record.
And to address doubt.

Hey cool to see someone working in NZ!
What's the effective tax rate for you?

Might transfer to Auckland to work too.

In my late twenties, office job.

I think I am underpaid, does that qualifies me as overpaid?
No.

Message here is, you can't really tell if someone is under/overpaid just from that few lines of brief descriptions.
Heck most of the time even resume won't cut it.

No need to pour cold water over people.

Don't bother to reply if you don't have constructive comment/criticism to backup your pointless reply.
At the very least put some effort to show some maths/market norm etc.

And to wanakev2 , not sure what kind of data processing you're doing as I'm not in O&G but, data is the future.
You're in the right specialization.

Yeah.
If only it's bi-weekly.