On July 10, we hosted a webinar showcasing the new Analyst interface, including our job postings analytics report. We got a lot of great questions from those of you who attended, and wanted to share the Q&A below.
Can you still type SOC or NAICS codes into the search box?
If I wanted to look more than one occupation at a time, to show multiple occupations in a specific region, could I do that?
Can you still select up to 10 areas to compare? (regional trends)
All three of these can be grouped together and answered, “Yes.” Big picture, if you could do it in the current version of Analyst, you can do it in the new version. The main changes are the layout, or “how you get there,” and the addition of more reports like JPA and unemployment by occupation. Your customer service rep will be available to guide you on specific how-to’s once the new version is in beta.
Are any schools using this in their Career Services Centers and putting it in the hands of students?
Yes, we have a different product called Career Coach that takes EMSI data and presents it in into a more public facing way. Career Coach is designed to help students and jobseekers use good data to make decisions about programs of study and careers to pursue.
Do you have postings for Canadian cities?
We don’t currently have job postings data for Canada or other countries that EMSI serves. Please stay tuned for developments on those fronts.
When will this version be released?
The new version will be released in a beta version at the end of July. Beta means there might still be significant changes between this release and “final,” but we feel it’s at a good place to start using. Please let us know what you think!
What is the right way to interpret the 1:3 ratio [as a measurement of job posting intensity]? Are you saying that there are three openings for each unique posting for web developers?
Job posting intensity is comparing unique (or de-duplicated) job postings to the total postings numbers for a given occupation. We’re still fleshing out the best way to display this, but the underlying principle is that if there are a high number of total postings, and a low number of unique postings, that occupation has a high posting intensity. We’ll likely display it as a ratio, so 1:3 would be 1 unique posting for every 3 total.
Does the “New Hires” number include people hired on H1B visas?
Yes. In order for someone to be hired on an H1B visa, they must have a Social Security number, which is the main connection QWI uses to track hires and separations.
How do you deal with the lag of the QWI hire data?
EMSI uses many sources to create our labor market data. QWI is one of those sources, and (like all of them) has its strengths and weaknesses. Our general philosophy in dealing with multiple datasets is to find and use the strengths of one to support the weaknesses of others. QWI’s strength is that it’s a near complete headcount of hires and separations in the country, along with a number of other data on demographics. Its weakness is its lag. We use other, more timely datasets to help project that data up to the current year. This is how we’ve dealt with weaknesses from single sources in the past as well.
How often will the jobs posting data be updated?
Since this is our first year of producing these type of data we’re still working out the schedule of updates. The plan is to have these data updated monthly once the dust has settled.
Will you have QWI data at a national level? (not by state, only)
We are using QWI as a source along with our other 90 or so sources to help produce new figures in Analyst like hires, separations, and churn. EMSI data (including the new stuff) can be viewed at the national, state, metro, and county levels, with ZIP estimates for our core data points (job counts, earnings, job change).
Do you have any details you can share on the de-duplication methodology?
We de-duplicate job postings in a two-step process. The first step looks for identical matches in job title, company name, and metro. If all three are identical, we de-duplicate them down to “1” unique posting. The second step looks at those same elements more closely to find other, less obvious cases of duplication.
For the job postings reports, where did you say the posting data are coming from? CB or does this integrate with a job distributor?
Our job postings are coming from third party aggregators that spider the web for postings. We’re also evaluating new sources to improve the quality of that data.
Will the job postings addition cost more to add?
Yes, the introductory price to add job postings analytics to Analyst will be $2,500. This includes whatever geographic level of data you currently have access to.
Do you have race included in the new demographic data?
We do have race/ethnicity in our demographics data. We’re also working on bringing that element into our occupation and industry demographics, but at the moment our priority is getting job posting analytics right.
For more info on the data behind our new job postings analytics, check out our new data recap and our article on measuring demand, which delves into the background of the new data we’ve been working on.