Getting My Big Data Experience Noticed on LinkedIn

The social media service LinkedIn (LI) serves multiple purposes for many people. There are some who use it for searching for a new job, some for professional networking, some for staying current with technical trends, etc. I think it’s safe to say that most people are not passive about how they use this service. Simply put, they use LI as a business intelligence platform. On a daily basis, users take LI’s collected data and convert it into useful information

I am a member of a big data and analytics technical recruiting team. On any given workday we review hundreds of LI profiles. We’ve seen a lot of good ones and also we’ve seen a lot of bad ones. So the question is what do these noticeable profiles look like? Let’s take a closer look.

In 2017, the latest count from LI is that there are about 467 million user profiles. This is an impressive number but for many users, this is an intimidating number, especially if that person wants to stand out and be noticed. You might be saying to yourself that since you’ve completed your LI profile, you’re done. Right? …Wrong!Setting yourself apart from the ocean of competing profiles is not easy, nor will it automatically be done for you. If you’ve ever wondered why companies with new job opportunities might not be contacting you, the chances are there’s a problem with your LI profile. Here are just a few “do’s and don’ts” that might help you while putting your profile together.

Add a Professional Headshot Photo To Your Profile

The expression holds true “You only have one chance to make a first impression.” Also, it’s important to remember that LinkedIn profiles with professional looking headshots get 14 times more profile views and is 36 times more likely to receive a LinkedIn message. You don’t have to spend a lot of money on professional headshots. Just remember that this is the public’s first impression of you as a professional, so make your photo look professional.

Don’t Overlook The Skills Section

I have seen too many people that don’t take look this section seriously. This section is especially important when it comes to looking for a new job. I recommend that all LI users consider the following when completing this section:

  1. Think about the type of a professional are you? (Hadoop Admin., Developer, Architect, Manager, Analyst, Team Lead, etc.)

  2. What professional focus are you looking to convey? (IT Strategy, Business Intelligence, Data Science, Leadership, etc.)

  3. What specific skills and technology experience do you have that apply to your profession? (Java, Denodo, Data Integration, HortonworksHazelcast, Algorithms, Bayesian Statistics, etc.)

Now, list those specific skills and technologies in this section or, at a minimum, somewhere in your professional narrative.

Eliminate “Eye-Rollers”

Remove the nebulous adjectives and technologies that are common among almost all technologists. (e.g. Team Player, Microsoft Word, Microsoft Excel, etc.) When you include these types of “eye-roller” skills, it shows that you’re struggling to put something in there. Think about many technologists do you know that don’t know how to use Microsoft Word? Kudos to you, Microsoft!

Knowledge is "Gud"

Nothing will disqualify your professional profile faster than having misspellings, and/or the poor use of grammar. I am not a college English major, but I can still clearly articulate my professional experience by using well-constructed sentences. If you need help in this area, there are many free applications (e.g. Grammarly) that can help.

It’s very important to know that most (if not all) hiring companies will use LI at some point during their search. When they find errors with spelling and/or grammar in a person’s profile, it is perceived as a negative. In many cases, they considered these errors careless work and it’s just a demonstration of the quality of work that one can expect from this person. Your LI profile (as well as your resume) needs to be as close to perfect as possible.

Matching Dates

More than ever before, companies look for discrepancies when they consider candidates. They will do this by comparing the content and employment dates of a candidate's LI profile with what is stated on their resume. While it may be a simple oversight by the candidate, it can also be viewed as misleading and possibly deceptive behavior. Either way, it will almost certainly raise a cautionary flag.

Some Final Thoughts:

  • Make sure your LI profile stands-out for the right reasons.

  • Update your LI profile and resume regularly.

  • Make sure that you list all of the relevant technologies related to your professional life.

Words Are Important

The fastest way to be discovered is to pay close attention to the words you use. Recruiters and hiring companies search for qualified people on LI. They do this by using “keyword” searches and Boolean logic. You might be the most qualified “Hadoop Developer” on the planet for a newly listed job, but if your LI profile doesn’t mention the word “Hadoop” or if you misspell the word of a critical skill that qualifies you for the job…you're virtually invisible.


Realizing The Potential Of Big Data And Analytics – Forbes

It’s not what you know. It’s what you do with what you know. That’s something companies worldwide will be learning—for better or worse—in the coming year when it comes to big data.

Gurus among us have proclaimed 2017 will be the year big data goes mainstream. If you’re anything like me, you may be wondering if that has already happened and if not, why? Even many teenagers I know use Google Analytics to monitor their daily “brand.” The truth is 2017 marks an even more meaningful shift when it comes to using data in business. For the first time, it will drive business operations, rather than simply reflecting performance. That’s a powerful proposition for those who use analytics effectively. On the flip side: It could be absolutely devastating for companies who are falling behind.

If you’re worried your business may have missed the big data boat, you’re in good company. According to the Harvard Business Review, a majority of today’s businesses are “nowhere close” to recognizing the value analytics can bring. The reasons are all-too-familiar: Lack of vision, lack of communication, lack of an actual plan. The good news: you can do something about it. Below are just a few things to keep in mind as you assemble—or re-assemble—your strategic big data plan.

Find A Champion

Like most big changes in any company, management plays a huge role in how quickly their companies will adopt—and adapt—to it. If you are planning to introduce or enhance your analytics platform, establish supporters and mentors in every sector of the company. After all, data is never central. From your front-line customer service team to your top senior executives, the decisions you make based on results and reporting will reach every single layer of your company—including YOU.

Whether gathering data on the front end or making big decisions in the C Suite, every single person in your organization must buy into the value analytics brings. If not, you run two major risks. First, you could end up with dirty data, which is worthless when it comes to making good, solid business decisions. Second, you could amass tons of amazing data insights that are never utilized by your executive teams. Consider creating a dedicated communication campaign surrounding analytics to ensure full-scale penetration and success.

Daniel Newman is CEO of Broadsuite Media Group, principal analyst at Futurum and author of Building Dragons.