4. BLS Data
• Using the Data Finder you can
segment information by
employment rates, diversity, etc
• Using BLS pre-populated reports as
your baseline of where to search
5. What is the Demand?
• To identify an approximate demand, we’ll
use Google for Jobs and Data Miner. Add
any additional resource you deem
necessary.
• Identify the type of role by job title we’re
researching and head over to Google.
6. Market Demographics
• Using free BLS data and open-source
mapping, identify your target locations.
• We’re all aware of “tech hubs” but using
Location Quotient* data helps us identify
outlying hubs.
• Cross reference population information
with commutable distances. What can we
infer?
8. What is the Supply?
• To identify an approximate
demand, we’ll use your ATS,
Indeed, and LinkedIn. Be sure to
include any additional niche sites
that work for you i.e. GitHub
• Start broad by job title. If you’d
like you can create sub-categories
with specific tech i.e. mobile
developer, then breakdown
Android/iOS, Kotlin, etc.
9.
10. Save your data – then use it
• Save your data and turn it into action
• Use Excel and Pivot Tables
• Use Tableau Public (free version) for
visualization
• Run analytics at your time discretion –
annually, bi-annually, quarterly
11. What if I don’t know what
I’m looking for?
1. Research your job description
- What are the tech terms?
- How are they related/implied skills
2. Research your own company
- What is your tech stack? Front/backend?
Repository? Frameworks?
- What will this tech do? Why is it important?
3. Research ideal candidates, current employees,
previous employees, and benchmarks
- Where do they hang out?