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Topic Review (Newest First)
25-02-2017 10:36 PM
Unregistered Analytics in Digital Marketing Training Program - Account Analytics Track
s://.linkedin.com/jobs/view/261269575

Analytics in Digital Marketing Training Program - Campaign Optimization Track
s://.linkedin.com/jobs/view/262226196
30-01-2017 11:23 PM
Unregistered Lego - Forecast Analytics and management Intern
s://.linkedin.com/jobs/view/249720141

Lego - Digital Analytics Intern
s://.linkedin.com/jobs/view/244184744

Cargill - Quantitative Analytics Management Trainee
://.linkedin.com/jobs/view/266827721
20-12-2016 03:40 PM
Unregistered
Quote:
Originally Posted by Unregistered View Post
Do you really think a smart mathematician/programmer who just does his own thing and do his complex data modelling is going to earn more than an average guy who know how to do simple analysis and reporting but dam good at office politics, powerpoint and has the sponsorship of a few MDs? Maybe the smart guy started off higher, but long term wise it's the political guys who will dominate the game. Look around in your office and the answer is dam obvious.
I can't categorically say that you're wrong. But if I were to guess, what you said is applicable to 70% of the jobs out there. There are 30% of them, and I know first hand, where technicals and science is prized over politics.

Maybe you know all of finance. But to those who know, how about it. In sell side, you can win by politics. In buy side, no amount of politics is gonna save you if your PnL is negative. Trust me, I, and those in finance, will agree with me.

And how does this relate to data analytics? Back to my original point - IF the company is REALLY doing data analytics, I suspect what they are drive by is the hard science. And no politics is gonna save you if you don't know the statistics.
19-12-2016 03:38 PM
Unregistered Singaporeans are really slow learners, no wonder keep losing to the foreigners. Pay isn't about how good you are at data analytics or what sort of data analytics is 'better' or 'real', it is more about office politics, executive presence and connections just like any other job.

Look at your own boss or boss's boss, how many of them are actually smarter or better in the job then you are? Why are they making 3x more than you if they are not actually 3x better?

Do you really think a smart mathematician/programmer who just does his own thing and do his complex data modelling is going to earn more than an average guy who know how to do simple analysis and reporting but dam good at office politics, powerpoint and has the sponsorship of a few MDs? Maybe the smart guy started off higher, but long term wise it's the political guys who will dominate the game. Look around in your office and the answer is dam obvious.

If you really like to do fancy stuff for passion and self-esteem, please go ahead and I respect you and wish you have a good and fulfilling life. But those that keep asking about career progression, pay advancement, bonus etc. please wake up and look around you what is going on.

Your Indian and Pinoy counterparts know exactly how the game is played. If you don't want to end up 10 years down the road moaning about why you need to get scolded by a stupid idiot FT SVP who cannot even understand what you are talking about but yet is paid twice you are, then start recognizing how promotion and pay progression is done in reality in most companies.
19-12-2016 03:19 PM
Unregistered
Which are highest salary?

I like what was said: "Most companies are average and not doing hardcore analytics". IMO, most companies are like that because the bosses don't even know what you are talking about if you show them hardcore stuff.

Anyway, want to post 2 questions here to keep this going: Which field of analytics pays more?
1) Banking
2) Insurance
3) Marketing
4) CS
5) SB
6) Retail
7) Online Sales
8) Telco
9) HR
10) Healthcare

If possible, rank them.

And, which type of profession pays better:
1) Those doing coding and scripting for analyst
2) Those doing business analytics for management
3) Those selling analytical tools
4) Those teaching analytical tools
5) Those building databases and maintaining them

Thanks!
18-12-2016 07:31 PM
Unregistered data science is just another hype la

analytics have always ard for so long then now everyone term themselves as data scientists

these data scientists still need the programmers to come out swee swee data for them to play with...lol.
08-12-2016 12:16 PM
Unregistered
Quote:
Originally Posted by Unregistered View Post
Okay, sure. Thanks for enlightening me with the truth. Actually, that was actually what I wanted to figure out. How much analytics are these Government / Government sponsored companies doing? And I like how you put it ... 'trumpet blowing'.

I actually had a sense of this where no one seemed to talk further other than the generic term 'statistics', 'data analytics'. Even that previous guy said 'I doN'T think they will test you on statistics' and that everyone just ask how much pay. So it's confirmed that most aren't interested in the science between the analysis.

And that's okay. It's entirely another question altogether on why such an industry exists. Motivated by a buzzword like 'data analytics' yet your company is filled with people who can't handle statistics concepts pass graduate school. What exactly is your product? Even worse, maybe that's why data analytics in Singapore will pass just like how life science did in 2002.
This isn't new at all. Most companies/gov just follow buzzwords, wayang and do whatever is trendy. Last time was internet, then become cloud, then big data. Whatever lah.

Important thing is pay. Real difficult things by definition can only be done by top 0.1% of the population meaning small supply and super high pay.

Don't come and BS abt 'specialist' or 'expert' jobs when they cannot even pay 100k for a freshie or 300k for a mid-level professional. So many office job nowadays is fancy title and job description with average pay, because everyone knows that its an average job that any average Joe with average IQ can do.
08-12-2016 12:05 PM
Unregistered
Quote:
Originally Posted by Unregistered View Post
Same guy who wrote about FB, Google:

Well you have to understand that most companies are average and not doing hard core data analytics. Government especially. Just check out all the trumpet blowing over the recent events at GovTech. With that said, you can expect that most of the people you find around here will be average as well and do not expect to do hard core stats in their future career. You have to respect that. To each his own la. Don't be so aggressive on a virtual forum haha.
Okay, sure. Thanks for enlightening me with the truth. Actually, that was actually what I wanted to figure out. How much analytics are these Government / Government sponsored companies doing? And I like how you put it ... 'trumpet blowing'.

I actually had a sense of this where no one seemed to talk further other than the generic term 'statistics', 'data analytics'. Even that previous guy said 'I doN'T think they will test you on statistics' and that everyone just ask how much pay. So it's confirmed that most aren't interested in the science between the analysis.

And that's okay. It's entirely another question altogether on why such an industry exists. Motivated by a buzzword like 'data analytics' yet your company is filled with people who can't handle statistics concepts pass graduate school. What exactly is your product? Even worse, maybe that's why data analytics in Singapore will pass just like how life science did in 2002.
08-12-2016 11:09 AM
Unregistered
Quote:
Originally Posted by Unregistered View Post
Just think about your question for a minute. You are employing someone for their technical skills. And you see a one liner of his resume: "Skills: R". Will they:

1) Take your word for it since it is a 'given'
2) Put you through a 50 minute technical test



This is what I tried to allude to earlier but no one seems to get me. Now, I don't know about the data analytics roles some guy earlier mentioned where the focus is not about the HARD SCIENCE, but about the experiment design. But to me, here is my experience.

If you are coming in with at most two years of experience, my take is that YOU are going to be the guy coding and researching on the computer 8 hours a day. You'll use C#, R or Java and regression and forecasting for your job. You'll take orders for the managers who are the ones that design the experiments.

You can avoid my point all you want. But for all those who want data analytics, are you such a person? Do you like statistics? Did you just copy homework? Can you talk about the nuances of statistics for an hour?

If you can't and a company hires you, then I really wonder what analytics goes in inside that.
Same guy who wrote about FB, Google:

Well you have to understand that most companies are average and not doing hard core data analytics. Government especially. Just check out all the trumpet blowing over the recent events at GovTech. With that said, you can expect that most of the people you find around here will be average as well and do not expect to do hard core stats in their future career. You have to respect that. To each his own la. Don't be so aggressive on a virtual forum haha.
08-12-2016 09:41 AM
Unregistered
Quote:
Originally Posted by Unregistered View Post
It is very common to see certain engineering and data opening in CS/SB hitting above 100k inc bonus within 2-3 years. Some people really frog in the well here.
I seriously doubt it is common for those working in CS/SB to be earning more than 100k in less than 2/3years. You may check other threads. Secondly, you can use becnhmark your salary tool in salary.sg to check 100k salary at young age group, at age 25-29, having 100k per annum salary, it is TOP 2.1%. If it is common for CS/SB to earn above 100k per annum, this % would be much higher. Not to mention, there are Bankers, Lawyers, Doctors etc are supposedly higher paid.
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