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Little Known Ways to Get Big Data Jobs
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What skills do you need to get big data jobs? What are the most desired qualities employers look for? This guide outlines what it takes to land a big data job.

It's no secret that big data is in. It barged its way into corporate America with loud demands and even louder results, so it's no wonder company executives are trying to get in on the hype.

For IT professionals, this setting provides a lucrative option for a career. In fact, IBM expects demand to increase 28% by 2020.

But what do employers look for when they post big data jobs and what does it take to get one?

If you want to take advantage of the times, you'd best find out.

What Employees Should Have for Big Data Jobs

Being a big data scientist involves a lot more than loving technology. It truly takes a unique individual to be good at the role, and that's why employers are sometimes picky about recruiting.

Do you have what it takes?

1. Teamwork

You might picture IT guys working remotely or in back offices where no one bothers them, but teamwork is a mandatory requirement for analysts nowadays.

Where business intelligence could once upon a time get by with a single analyst, now teams are necessary to sift through the data, create algorithms, find patterns and generate solutions. As more and more networks and technology join the fray, businesses need more manpower.

Consequently, teamwork really is dreamwork here. Studies indicate an analytical team's characteristics determine its performance. Naturally, employers seek this skill.

2. Hadoop Skills

According to David Menninger, who is head of business development and strategy at a division of EMC, Hadoop skills are no longer an added bonuses but necessary qualifications.

Working with this open source software is more important than ever, and with the large amounts of data analysts deal with, it's vital they understand it. If they don't, it's impossible for them to do their job.

3. Methodical but Creative

Just as you wouldn't dive into a cave to look for treasure (we hope), you can't dive into the thousands of datasets without a plan and expect to come out with gold.

Analysts must proceed with a plan in place, and each day they carefully manage, process and evaluate information. But their task doesn't end there; they also must search for patterns and create a solution to aid the company.

As you can see, it's imperative that analysts are both methodical and creative enough to apply the knowledge garnered into a creative solution.

4. Curious

Curiosity might kill the cat, but it boosts analysts to success. Big data scientists not only have to manage and analyze data, but they also have to understand its inner workings.

Why are customers defecting? What is it about this product that lowered or increased sales?

The best analysts are motivated by questions like these, and it lets them find the most effective solutions for the company.

5. Problem Solvers

Of course, even if an employer hires an analyst with a solid grip on the technology and an eye for patterns, it means little if he or she can't create a solution.

Applying the data to effective solutions that keep the company's goals in mind is an absolute must.

Are You Ready to Apply?

If you have the qualifications, don't hesitate to get in on "the sexiest job of the 21st century."

Big data analysts receive excellent pay and are in high demand. If you have these qualifications, you're the perfect addition to a team of analysts.

What are you waiting for?

To see all the big data jobs in your area and across the country, visit our site today.


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