March 20, 2017 by Anna Peters
There is a public perception that liberal arts graduates are somehow less valuable. Dr. Ascan Koerner with the College of Liberal Arts at the University of Minnesota will tell you why the opposite is true. College Recruiter connected Dr. Koerner with Todd Raphael of ERE Media to learn what his team is doing to make sure employers understand the relevancy of liberal arts students and graduates. A video of Todd Raphael’s and Dr. Koerner’s discussion is below.
According to Dr. Koerner, we have seen more public discussion in the last 5-10 years about the value of higher education, generally speaking. The arguments for what is valuable have primarily focused on STEM education. (That is, science, technology, engineering and math.) Some believe that in order to be competitive in an international job market, one really has to be focused on STEM. At one end of the spectrum, we see the Governor of Kentucky, who has questioned why universities even have liberal arts programs at all. This makes liberal arts students—and their parents—nervous. Dr. Koerner says that at the University of Minnesota, students are asking how liberal is helpful in their careers. He says their belief in the value of liberal arts has never wavered, “but the question hasn’t been posed to us in such stark terms.”
Employers already value liberal arts, but they don’t realize it
Overall, employers already know the value of liberal arts. The problem is, they don’t recognize it as liberal arts. When you ask employers, for example, what they value, they cite competencies that are quintessential typical liberal arts. At the top of their lists are analytical/critical thinking, communication, leadership, ethnical decision making, and engaging diversity.” Employers know what they value, but the job candidates—the liberal arts students—aren’t always good at explaining their own value. So while colleges and universities bear some of the burden of convincing employers, students bear most of that responsibility. A philosophy major may embody the exact skills needed but when you ask him how his education prepared him for a career in corporate America, he has a hard time. That is why it is so important to engage and prepare students for answering those questions. When the students eloquently explain their own competencies, that is more convincing to an employer than if the institution were to explain the overall value of liberal arts grads. Continue Reading
March 15, 2017 by Ted Bauer
Programmatic advertising is alive and well in the present. However, many recruiters still think of it as a future strategy. Programmatic advertising will account for 50% of all digital ad sales by 2018, if not even sooner. That is only a year from now, so if you’re still not putting dollars into this method of recruitment, you should start paying attention. Despite this rapid scalability of programmatic advertising, it’s been slow to adapt to the recruiting and entry-level hiring space. Here we will explore how this new technology will look in the recruitment space.
A primer on programmatic advertising
The overall concept of programmatic advertising can be very nuanced. Essentially, it’s based on artificial intelligence (AI) and real-time bidding (RTB). It automates the decision-making process for where to place advertisements online. As digital and mobile technologies scaled, programmatic was a way to help maximize the ROI of advertising budgets. Consider this: there are more than 41,000 zip codes in the United States alone. To manually optimize and target campaign efforts is beyond the scope of most human beings. Here there was a natural space for programmatic advertising, which can automatically understand where to place advertisements based on a web user’s data patterns. As Digiday has summarized, albeit a bit flippant, “It’s using machines to buy ads.”
Programmatic advertising kills “post and pray” in recruitment
The standard recruiting approach for years has been “post and pray.” A company will create (or recycle) a job description and then mass-post to a variety of boards. Then, they just hope some ideal candidates roll in. The ROI on this process is suspect, and it’s even more suspect if you’re a company with high-volume hiring needs. While you need a lot of candidates, you also need to stay within budget — so there has to be a degree of strategy and targeting to the process. Unfortunately, there often is not.
Programmatic advertising attempts to solve some of these issues. It proves a clearer ROI and makes sure that recruitment advertising budgets are slotted towards the most important vacancies. And, above all: the processes that used to give recruiters the most headaches are now almost entirely automated.
A breakdown: What does this look like for recruiters?
If you are a recruiter just trying out programmatic advertising, here’s how it breaks down at the ground level: Continue Reading
December 20, 2016 by Anna Peters
Contributing writer Ted Bauer
There is a lot of talk about artificial intelligence in recruiting. Here’s something most people probably don’t know: artificial intelligence actually debuted at a conference at Dartmouth University in 1956. Yep, 11 years after the end of WW2, AI was already on the scene. At the time, there was a lot of optimism. Some people at the conference believed robots and AI machines would be doing the work of humans by the mid-1970s. Of course, that didn’t happen. Instead, funding dried up and we began a period called “The AI Winter”. That ostensibly lasted into the 2000s, when IBM’s Watson peaked a lot of interest in artificial intelligence again.
Now we’re at an interesting place. Like PCs in the early 1980s or the Internet in the early 1990s, artificial intelligence is “out there” and people know about it. There’s anxiety around artificial intelligence and what it means for the very nature of the work many of us do. However, I believe it will be a rising tide that will “lift all boats.” Here’s how AI might impact the recruiting industry going forward.
AI is already here in recruiting
One example of today’s cutting edge recruiting AI is an application developed by HiringSolved. They call it RAI — pronounced Ray — for “Recruiting Artificial Intelligence.” The project is about six years old and still being perfected. Its execution is similar to a chatbot. You can say something to RAI like, “I need to find 20 project managers in the accounting sector within 50 miles of Boston,” and — much like you might tell Siri to turn on Pandora — it will begin to comb through resources and find you those project managers.
You could also use clarifying questions, such as “What does Microsoft call product engineers?” Continue Reading
October 27, 2016 by Matt Krumrie
Analytics, big data, data mining, and data science. Those are not just buzz words, but job titles for some of the hottest jobs of the future. And actually, the present. Especially in health care careers, where professionals throughout the world are using a variety of analytics and data to help cure diseases and solve business problems.
The Walter Reed Army Medical Center in Washington, D.C. used data mining to model patient populations and define chronic disease groups, which ended up improving their ability to help diabetic patients manage and reduce complications of their disease. Health care providers are using predictive analytics to find factors associated with high-cost patients. They can detect insurance fraud and even forecast medical outcomes. Analytics and data continually make more impact in health care. And so do the job opportunities. But for recent college grads, understanding the job titles and career paths of analytics and big data careers can be confusing.
“The good news is that opportunity is abundant,” says Kevin Purcell, Ph.D., a Professor in the analytics program at Harrisburg University of Science and Technology in Harrisburg, PA. “As with any new field, sometimes deciphering job titles is the first hurdle.”
Purcell breaks down these potential job titles and what the job entails:
- Data analysts: Responsible for gleaning information from data using various software packages and their knowledge of SQL on databases. This is often combined with intermediate level statistics.
- Data scientists: Responsible for gleaning information from data, but at a larger scale and also often tasked with more open questions. The skill also demands more advanced statistical knowledge such as machine learning as well as programming skills to better manipulate data to his or her own will.
- Data engineers: Typically software engineers that focus on building robust data pipelines that clean, transform and aggregate messy and unorganized data into usable data sources.
- Big data architects: Develop plans for integrating, structuring, and maintaining a company’s data sources often employing big data technology such as Hadoop
Chris Lee is the Manager of Performance Measurement at Children’s Hospital of Orange County (CHOC) in Orange, California. He sees two key skills that are crucial to success working in analytics and data in the health care industry. Those skills are analytical and technical skills – combined with interpersonal skills. Sure, it’s important to have advanced Excel skills, knowledge of databases, strong data mining and presentation skills. However, the most technical people need interpersonal skills to work with others, including non-technical co-workers.
“The main thing I’ve learned in the field that students can’t learn in the classroom is the interpersonal aspect of working with people who request data,” says Lee. “The people you will work with in the real world have all sorts of personalities and traits. Great interpersonal skills will help one foster relationships and make the data analysis portion of the job much easier when you can clearly define and understand the data elements that the requester is asking for. Most successful analysts have that right balance that enables him or her to interact with the data requester to generate/create the correct data analysis.”
Purcell agrees: “It is imperative for both data analysts and data scientists to be competent communicators,” he says. “Data storytelling is an indispensable skill needed to communicate technical findings to non-technical audiences with a focus how the findings can impact the business or organization.”
Purcell says employers look for other core skills such as intellectual curiosity, analytical thinking, and knowledge of software tools such as R, Python, a high-level programming language (Java or C++), and GUI-based visualization.
Kevin Huggins, Ph.D., also a Professor in the analytics program at Harrisburg University of Science and Technology, says getting hands-on, real-life experience is crucial to launching one’s entry-level analytics and data career.
“Nothing can replace practical experience,” says Huggins. “Internships are excellent options, but sometimes not available to everyone. Since most platforms are open, contributing to open competitions or open-source collaborations can provide experience where professional opportunities are scarce.”
Carolyn Thompson, Managing Principal, Merito Group, LLC, a talent acquisition and consulting firm, says the single most requested skill set in healthcare analytics that employers seek is revenue cycle experience. “Because of the complex nature of payment and provider relationships, this is an area where the demand is literally never fully met,” says Thompson. “These people have strong Excel skills, good business judgment and can do modeling and forecasting around all the various aspects of healthcare revenue.”
Andrew S. Miller, President & CEO of BrainWorks, a leader in big data recruitment, says employers want recent college graduates who are trained in statistics, math, quantitative analysis, using programs, and algorithms. But ultimately, recent college grads also have to be able to communicate and present the data.
“The ability to take your finding and present to key business stakeholders is critical,” says Miller. “Employers want a person who can not only massage and manipulate data, but interpret the data into insights and meaningful conclusions. If they can’t convey the information in a way that makes sense or sells management or what action to take, their value to the employer becomes limited.”
Analytics and big data jobs are hot and in demand. Especially in the health care industry. Use these tips to advance your career and land that first job or internship.