Talent Acquisition

HR and talent acquisition teams can use Lightcast data to identify in-demand skills and occupations across regions and industries. This helps teams make informed hiring decisions and align recruitment strategies with current workforce demand. Below are some common use cases.

Use Cases

Employee Supply by Location

Find employee supply by location for a specific role by classifying raw job titles to the Lightcast Occupational Taxonomy (LOT) to retrieve supply data from our global profiles data set.

APIs Used

Authentication
Classification – To classify the raw title into the Lightcast Occupational Taxonomy (LOT)
Profiles (Lightcast employee profiles data API)

Python Example

Distinguishing Skills for a LOT

Classify a raw job title to the Lightcast Occupational Taxonomy (LOT), and then use that LOT to retrieve defining, distinguishing, and necessary skills data from the DDN API.

APIs Used

Authentication
Classification – To classify the raw title to the Lightcast Occupational Taxonomy (LOT)
DDN API

Python Example

Find Similar Roles

Normalize a raw job title to the Lightcast Occupational Taxonomy (LOT), and then use that LOT to find similar roles using the Similarity API.

APIs Used

Authentication
Classification – To classify the raw title to the Lightcast Occupational Taxonomy (LOT)
Similarity API

Python Example

Feeder Jobs for a Given Occupation

Normalize a raw job title to the Lightcast Occupational Taxonomy (LOT), and then use that LOT to identify feeder and advancement roles using the Career Pathways API.

APIs Used

Authentication
Classification – To classify the raw title to the Lightcast Occupational Taxonomy (LOT)
Career Pathways API

Python Example

Market Salary for a Role

Normalize a raw job title to the Lightcast Occupational Taxonomy (LOT), and then use that LOT to retrieve salary percentiles using the Market Salary API.

APIs Used

Authentication
Classification – To classify the raw title to the Lightcast Occupational Taxonomy (LOT)
Market Salary API

Python Example

Compensation Insight by SOC

Normalize raw job titles to the Standard Occupational Classification (S.O.C.), and then use that S.O.C. to retrieve estimated compensation data.