25-02-2017 10:36 PM | ||
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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 |
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30-01-2017 11:23 PM | ||
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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 |
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20-12-2016 03:40 PM | ||
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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. |
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19-12-2016 03:38 PM | ||
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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. |
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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! |
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18-12-2016 07:31 PM | ||
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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. |
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08-12-2016 12:16 PM | ||
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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. |
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08-12-2016 12:05 PM | ||
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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. |
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08-12-2016 11:09 AM | ||
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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. |
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08-12-2016 09:41 AM | ||
Unregistered | 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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