Atourist has died at one of the world’s most dangerous airports.
The woman – a 57-year-old New Zealander – was reportedly watching a plane take off from the notorious Princess Juliana Airport in St Maarten when she was knocked over by the thrust from one of its engines.
She is understood to have died in hospital where she was being treated for head injuries.
andwiched between a busy beach on one side and a mountain on the other, the Caribbean airport is renowned as one of the world’s most dangerous spots to go plane watching. Big jets swoop in low over the beach to touch down on the runway, a spectacle that attracts many thrill-seeking tourists.
Though signs warn of the dangers posed by air blasts, many tourists still cling onto the fence separating the beach from the runway to feel the force of the thrust.
The as-yet-unnamed tourist, who was reportedly accompanied by members of her family, is understood to have been holding onto the fence before being knocked over.
Rolando Brison, St Maarten’s director of tourism, told the New Zealand Herald that he had spoken to the family of the dead woman

“I met with the family of the deceased this evening and while they recognised that what they did was wrong, through the clearly visible danger signs, they regret that risk they took turned out in the worst possible way,” he said.
Local police, meanwhile, issued a fresh warning to tourists who were thinking of visiting the airport.
“Many tourists come to the island to experience the thrills of the landing of approaching aircrafts flying low above their heads and the holding on to the airport fence and standing in the jet blast of large aircraft taking off,” police told the BBC.
“Doing this is, however, extremely dangerous.”
In 2012, a young woman was seriously injured after being sent flying by the blast of an aircraft. Footage of the incident shows the woman losing her grip on a fence as the aircraft fires up its engines.
You should always have a few questions prepared going into any job interview.
But it's not as simple as throwing out a bunch of random queries. The wrong questions could make you look unprepared, ignorant, or just plain foolish.
Your questions should be thoughtful, intelligent, and demonstrate that you are serious about the role and the company.
Here are nine questions to ask during a job interview that will make you look smart:

'Beyond the hard skills required to successfully perform this job, what soft skills would serve the company and position best?'

'Beyond the hard skills required to successfully perform this job, what soft skills would serve the company and position best?'
REUTERS/Gary Cameron
Smart people want to know exactly what they're getting into.
Knowing what skills the company thinks are important will give you more insight into its culture and management values, so you can evaluate whether you would fit in, Amy Hoover, president of Talent Zoo, tells Business Insider.

'How would you score the company on living up to its core values? What's the one thing you're working to improve?'

'How would you score the company on living up to its core values? What's the one thing you're working to improve?'
Chris Hondros/Getty Images
Peter Harrison, CEO of Snagajob, tells Business Insider this is a respectful way to ask about shortcomings within the company — which you should be aware of before joining.
As a bonus, he says, it shows that you are being proactive in wanting to understand more about the internal workings before joining.

'How do you evaluate success here?'

Knowing how a company measures its employees' success is important. It will help you understand what it would take to advance in your career there — and can help you decide if the employer's values align with your own.

'How do you help your team grow professionally?'

Harrison says this question shows that you're willing to work hard to ensure you grow along with your company.
This is particularly important for hourly workers, he says, because they typically have a higher turnover rate and are looking for people who are thinking long-term.

'What type of employee tends to succeed here? What qualities are the most important for doing well and advancing at the firm?'

'What type of employee tends to succeed here? What qualities are the most important for doing well and advancing at the firm?'
Reuters/Regis Duvignau
This question shows the interviewer that you care about your future at the company, and it will also help you decide if you're a good fit for the position, Vicky Oliver writes in her book "301 Smart Answers to Tough Interview Questions."
"Once the interviewer tells you what she's looking for in a candidate, picture that person in your mind's eye," she writes. "She or he should look a lot like you."

'When your staff comes to you with conflicts, how do you respond?'

Knowing how a company deals with conflicts gives you a clearer picture of the company's culture, Harrison says.
But more importantly, asking about conflict resolution shows that you know dealing with disagreements in a professional manner is essential to the company's growth and success. 

'What are some of the problems your company faces right now? And what is your department doing to solve them?'

Asking about problems within a company gets the "conversation ball" rolling, and your interviewer will surely have an opinion, Oliver writes.
Further, she says their answers will give you insights into their personality and ambitions and likely lead to other questions.

'What have past employees done to succeed in this position?'

This question is another way to get your interviewer to reveal how the company measures success.

'Where do you see the company in three years, and how would the person in this role contribute to this vision?'

Asking this question will show your interviewer that you can think big-picture, you're wanting to stay with the company long-term, and you want to make a lasting impression in whatever company you end up at, Harrison says.
One of the biggest pain points for jobseekers is the length of time it takes to find a job. Nothing is more frustrating than submitting resume after resume, then waiting for a phone call from a hiring manager that often never comes, all while your checking account balance or unemployment benefits dwindle away.
Fierce competition for jobs is driving much of that wait, especially for high-skill jobs which have an oversupply of candidates, like lawyers and real estate agents. In fact, one of the common beliefs about this economic recovery is that it has created a plentiful supply of lower-skill service industry jobs relative to higher-paid, high skill jobs.
It was surprising, then, when we took a look at which jobs have the least amount of competition. It turns out that they aren’t low-skill, low-wage jobs at all.
Instead, we found that the positions which offer the most opportunity for jobseekers  turned out to be the same types of high-skill, high-wage jobs which are often rightly assumed to be ultra-competitive.
By examining our database of over 10 million active jobs, we were able to rank jobs by our Opportunity Index, which measures the ratio of open jobs to applicants. Lower numbers mean lower competition. We’ve also included average number of jobs per applicant, and average info for each job:
1. Tutor
Opportunity Index: .0001
Average Yearly Salary: $36,921
Jobs per applicant: 10.78
Opportunity Index: .0002
Average Yearly Salary: $137,198
Jobs per applicant: 5.1
Opportunity Index: .0005
Average Yearly Salary – $90,268
Jobs per applicant: 2.1
Opportunity Index: .001
Average Yearly Salary – $76,436
Jobs per applicant: 1.1
Opportunity Index: .0011
Average Yearly Salary – $215,252
Jobs per applicant: 1
Opportunity Index: .0013
Average Yearly Salary – $56,891
Jobs per applicant: .9
7. Dentist
Opportunity Index: .002
Average Yearly Salary – $123,431
Jobs per applicant: .6
Opportunity Index: .0024
Average Yearly Salary – $35,397
Jobs per applicant: .5
Opportunity Index: .0032
Average Yearly Salary – $86,005
Jobs per applicant: .39
Opportunity Index: .0033
Average Yearly Salary – $85,084
Jobs per applicant: .38
Why do these particular jobs have such a low competition rate?
Industry trends are a huge factor: Healthcare is heavily represented as befits its role as a huge driver of employment growth in the U.S., and the high-turnover Sales industry is always seeking more workers than are available. Insurance also makes an appearance on the list, as employment in that sector surges due to the stimulatory effects of the Affordable Care Act and an aging population.
When you consider that the average open job in America gets over 300 applicants, the low competition represented here can guide college students and career-shifting workers when deciding which fields offer the most opportunity. Also, the inverse of low jobseeker competition is high employer competition. As companies compete for workers, wage increase often follow, making these mostly high-paying positions potentially more lucrative in the future.
Some aspects of technology seem to change every month. If you work as a data scientist or engineer, the tools you use don’t change quite so quickly, but can shift every few years. Bentley University commissioned a study to find which business skills are growing in demand. By looking at millions of job listings posted on more than 40,000 online job sites, jobs analytics firm Burning Glass determined which skills saw the biggest increases in demand when comparing 2011 to 2015.
In this post we’re revealing the top ten technical skills. They’re ranked by how often they appeared in job descriptions. The categories in parenthesis show the type of job where the increases took place.
Technical Skills With The Biggest Increases In Demand:
1. Big Data (Information Technology): 3,977%
2. Node.js (Design): 2,493%
3. Tableau (Research and Analysis): 1,581%
4. NoSQL (Information Technology): 1,002%
5. Apache Hadoop (Information Technology): 704%
6. HTML5 (Information Technology): 612%
7. Python (Research and Analysis): 456%
8. Oracle (Sales): 382%
9. JSON (Information Technology): 318%
10. Salesforce CRM (Sales): 292% 

Big data expertise saw the largest increase in demand. Big data has become a buzzword with a hazy meaning—there’s no standard definition for how much data justifies the term “big data.” But companies looking for big data skills generally need to organize and interpret a quantity of information so large that it can’t be handled by traditional data processing tools. As an example, think about the number of tweets, likes and retweets that happen every day. If you’d like to analyze patterns on Twitter that emerge over time, you’re likely working with big data.
Tableau is a data visualization tool that saw the third-largest surge in demand. Tableau lets you create advanced charts and graphs, like this, and requires no coding.
NoSQL saw the fourth-biggest bump in demand. It’s a database technology that enables storing and analyzing large amounts of data. MySQL and Oracle databases are older and more traditional tools, and they’re designed to run on a single machine, says David Oury, data science development director at Bentley University who teaches classes in data mining and machine learning. “NoSQL is designed to run on as many machines as you throw at it. As you add a machine, you add more storage and processing power.” The explosion of data over the past decade has created a growing need for more powerful databases like NoSQL.
Python saw the seventh-largest increase, and Oury says it’s one of the most important programming languages to learn. It’s a general-purpose language that handles data processing, visualization and machine learning. It’s simpler than older, high-powered languages like Java.
What makes it simpler? Java was built to be very precise and efficient, according to Oury. Python is less precise, but lets you accomplish high-level tasks more quickly. Building a program in Python might take 30 minutes instead of the three hours it would take to do in Java, so Python lets you build a product more quickly. Then you can test that product, launch it, see how users react and make high-level changes faster, instead of spending hours building the foundation of something you’re going to revamp anyway. This concept of launching a product quickly to see how users react is the basis for the bestselling startup handbook written by Eric Ries, The Lean Startup.
For anyone interested in exploring a more technical job in a field like data science, Oury recommends learning either Python or the statistical programming language R. R didn’t make the list of the top skills showing the biggest increases in demand, but it’s a popular, powerful language that Oury thinks is easier to learn.
After choosing either Python or R, search for a data set you think is interesting. You can Google for some information, like crime data, or go to to find sample data sets. Using Python or R, try to analyze the data, and set a goal for what you want to accomplish. “Find people to work with,” Oury adds. Some universities like Bentley have labs where you can learn and experiment, or if you’re not in school, consider attending events organized on to find people pursuing the same goals.