Finding the right talent pool can be tricky. Government occupation codes don’t often line up with the titles you need, making it difficult to recognize the best match for your search—especially if you’re looking for something specific like “engineering team lead” or “registered nurse with experience as a charge nurse in intensive care.” How can you find them?
Join our webinar Using Keywords and Skills to Find the Right Talent on Wednesday, August 22, at 11:00 a.m. EDT/8:00 a.m. PDT to learn how to use keywords and skills to focus your search.
Sign up for the webinar here.
How to Use Keywords and Skills to Focus Your Search
Let’s say, however, that we want to hire a team lead, which means we need more skills. To narrow the search further, we can click “Fine-tune these settings” and layer in the skill “Leadership (Common Skill)”. This narrows our pool significantly, giving us more accurate insight into the talent we want.
But what if our job title doesn’t match either the SOCs or the job titles? Thankfully, we can use keywords to locate find the right occupations and then narrow even further. Simply go back to the Occupation Snapshot and search for “Agile Developer.” The results include three SOCs: Software Developers, Applications; Web Developers; and Computer Occupations, All Other, with the keyword “agile developer” layered in. These are the three SOCs associated with this skill. The data in the Occupation Snapshot will pull from these occupations, filtering for this keyword.
A Note About the Data
Talent Analyst draws from three sources: traditional labor market information (LMI), job postings (aka real-time labor market data), and online profiles and résumés.
We compile our traditional LMI from dozens of government sources which are mapped to SOC codes. Our LMI includes data on all legal employment in the US, providing the breadth of Emsi data.
Our job posting and profile/résumé data, on the other hand, includes information reported by individuals and companies online, providing the depth of Emsi data with keywords, skills, and job titles.
Understanding these three datasets is helpful as you read the reports within Talent Analyst. While some information (such as compensation) is produced using both datasets, others are reported by only one dataset. In those cases, “Matching Profiles” refers to online social profiles, while “Job Family” refers to total employment in the matching SOCs (not filtered by any keywords or skills we may have added).
For example, employers are reported only by the online profiles, so the section is prefixed with “Matching Profiles.” On the other hand, diversity numbers come from government data, so this section is prefixed “Job Family,” and the results are not narrowed by any keywords or skills we have added.
Summary: How Keywords and Skills Help
Keywords and skills both limit and expand searches. You can use them primarily to 1) narrow the results for a known occupation, or 2) find the occupation that most matches your skills or keywords. These features greatly enhance your ability to narrow the data and get the exact insights you need.
Register for the webinar. Questions? Need help running a report? Contact your dedicated account manager via the support tab or live chat feature within Talent Analyst. We’re here to help!