Workforce experts are saying that by 2020 four of every ten workers will be a member of the “contingent workforce” – that is, freelancers, contractors, or temporary employees. How directly this trend impacts the LIS profession will probably in large degree depend on where you work and the type of work you do.
But in the meantime, what if you’d actually like to accelerate this trend and perhaps have an LIS career with a bit more flexibility right now?
How can companies get a better idea of which skills employees and job candidates have? While university degrees and grades have done that job for a long time, they’ve done it imperfectly. In today’s rapidly evolving knowledge economy, badges, nanodegrees, and certificates have aimed to bridge the gap – but also leave a lot to be desired. While HR departments are eager for better “people analytics,” that concept is still fuzzy. And simply collecting data is not enough – to be used, data has to be presented usefully. READ MORE: We Need a Better Way to Visualize People’s Skills | HBR
Whether you’re a student soon to graduate and getting ready to hit the job market, an employed professional seeking to make a job change, or a now-unemployed practitioner trying to identify or create new opportunities, LIS job hunting can be an adventure (feel free to substitute your preferred adjective here). READ: Infonista | Researching LIS Job Opportunities and Career Paths
Over the past few years, skilled developers and tech professionals have been in high demand for startups and corporations alike. And 2016 will be no exception. What will be different, however, is the sheer quantity of specialties companies are seeking in order to fill highly specific gaps, from data engineers to machine learning experts with deep knowledge of their fields.
Given that many companies are already hiring — or will be shortly — I asked 15 startup founders from Young Entrepreneur Council (YEC) which categories of technical talent they are looking for this year and why these roles will be so impactful. Their best answers are below. READ MORE: 15 top tech jobs of 2016 | Mashable
CareerLabs uses big data to explore all aspects of a company, from maternity leave to morale, growth, and financial health…
…The way CareerLabs works is simple: You sign up for free (you can use a Facebook or a LinkedIn profile) and start browsing job listings aggregated from other online job boards. CareerLabs layers in data on companies’ financial health and growth prospects, compensation, health care, career progression, culture, and management, among other criteria, to show candidates as full a picture of the business and its staff as possible…
…CareerLabs currently tracks and monitors 70% of all U.S. companies, which amounts to over 22 million organizations, and gathered some 10 million data points. He says that though basic service is free, subscription packages offer more filtering tools… READ MORE: How Big Data Might Change The Way You Find A Job | FastCompany
Women are under-represented in the tech sector. Not only that, but they’re underpaid, often passed for promotions and faced with every day sexism. It’s no wonder women are more likely to leave the industry within a year compared to their male counterparts. MORE: Why Aren’t There More Women in Tech? | Next Generation