Talent analytics

Resume Parsing for Talent Analytics

Data-driven talent decisions

The problem

Making strategic talent decisions requires data, but resume information is trapped in unstructured documents. Without structured data, workforce planning and skills gap analysis are impossible at scale.

The solution

Resume Parser transforms unstructured resumes into structured datasets perfect for analytics. Analyze candidate pools, identify skills gaps, and make data-driven workforce decisions.

How it works

1

Bulk parse resumes

Process your entire candidate database through Resume Parser.

2

Structure data

Receive normalized, structured data across all resumes.

3

Load to Analytics

Import structured data into your BI or analytics platform.

4

Generate insights

Analyze skills distribution, experience levels, and trends.

Key benefits

Skills gap analysis

Identify what skills your candidate pool has vs. what you need.

Market intelligence

Understand skills trends and availability in your market.

Workforce planning

Plan hiring needs based on structured talent data.

Diversity metrics

Analyze diversity and inclusion with structured data.

Frequently asked questions

Common analyses include skills distribution, experience level breakdown, education patterns, geographic distribution, and hiring funnel analysis.
We return structured JSON with consistent field names (firstName, lastName, workExperiences, educations, etc.) making it easy to analyze across resumes.
Yes, our JSON output can be easily imported into any BI tool including Tableau, Power BI, Looker, or custom data warehouses.
You can batch process historical resumes through our API. We offer bulk processing discounts for large historical datasets.

Power your analytics

Transform resume data into strategic insights.

Get started