Labor Market Analyst

Career Guide
Labor Market Analysts collect and interpret employment, wage, and occupation data to explain regional or national workforce trends. They build models and dashboards, produce briefs, and advise policymakers, educators, and employers on talent supply, skills gaps, and economic development.

Key Responsibilities

  • Extract, clean, and join BLS, Census/ACS, O*NET, and job posting data
  • Build statistical models to forecast employment and wage trends
  • Create dashboards and reports in Tableau/Power BI and Excel
  • Analyze industry–occupation dynamics and regional clusters
  • Evaluate workforce program outcomes using econometric methods
  • Present findings and recommendations to policymakers and business leaders
  • Respond to ad hoc data requests and maintain data quality and documentation

Career Progression

Can Lead To
Senior Labor Market Analyst
Workforce Analytics Manager
Labor Economist
Economic Research Manager
Transition Opportunities
Policy Analyst (Workforce/Economic)
Data Analyst
Market Research Analyst
Economic Development Analyst
People Analytics Analyst

Common Skill Gaps

Often Missing Skills
BLS/ACS/O*NET data fluency and SOC/NAICS taxonomy mappingLabor market forecasting methods (time series, cohort modeling)Econometric analysis for policy evaluationHands-on use of labor analytics platforms (Lightcast, JobsEQ)
Development SuggestionsTake an econometrics/time-series course in R or Python and build a public portfolio analyzing BLS/ACS data with a Tableau or Power BI dashboard; complete vendor training for Lightcast or JobsEQ.

Salary & Demand

Median Salary Range
Entry Level$55,000–$72,000
Mid Level$75,000–$100,000
Senior Level$100,000–$130,000
Growth Trend
growing | Heightened use of workforce data by governments, HR tech, and employers

Companies Hiring

Major Employers
State Departments of Labor & Workforce DevelopmentFederal Reserve BanksLightcast (labor market analytics)
Industry Sectors
GovernmentConsulting & ResearchTechnology (HR Tech & Job Boards)Non-Profit & Think Tanks

Recommended Next Steps

1
Complete a structured course in Econometrics and Time Series (R or Python) via Coursera/edX and apply it to labor data.
2
Build a portfolio: analyze your region’s labor trends using BLS/ACS; publish a Tableau/Power BI dashboard and 2–3 concise briefs.
3
Join the LMI Institute or a local workforce board, attend webinars, and present a short findings deck to get feedback and visibility.