Dice®, one of the leading job boards for technology professionals, has recently launched a new search platform for recruiters in the UK.
Dice’s newly launched Talent Search product combines its CV database containing millions of profiles from Open Web, its social recruiting tool, enabling users to view profiles all in one place, hence streamlining the process.
Aggregating readily available data from over 180 social and professional sites, Open Web makes it easy for recruiters to get a better idea about a particular applicant and their suitability for a role. Open Web also makes it possible to draft a custom message to the candidate and establish contact through several channels of communication, such as email and social media.
There are a number of filters that exist within Talent Search that can be used to improve relevancy. Filter on skills, location, contact method available, likely to switch, professional background and more. You can also filter profiles that have a Dice CV attached, enabling recruiters to target active candidates only.
The likely to switch feature, uses over 60 signals to determine how likely a candidate is to switch jobs. These signals include engagement levels on the Dice website, employment history, current time in their existing job and industry trends. Predictive analytics takes away the manual legwork, often required to define a candidate’s appetite to switch roles.
The candidate’s range of skills is presented in a doughnut visual, this provides a quick view of the candidates experience and capabilities. This combined with the other features outlined above, provides a powerful new way to find tech talent.
Jamie Bowler, Marketing Director at Dice Europe, said; “Talent search provides a more efficient way to search, engage and connect with tech professionals. We are constantly striving to improve the customer’s workflow, we believe Talent Search has delivered on this, it provides a single interface that connects recruiters with millions of active and passive tech candidates.”
The above article was sourced from OnRec.com and can be found in its original form here.
