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AlphaHire
Posted 1 day agoVerified live 20h ago

Research Fellow, Workforce Intelligence

Brief overview

Remote
UndergradOr in progress
Workforce AnalyticsLabor EconomicsLabor Market AnalysisCompensation AnalysisOperations ResearchStatisticsData AnalyticsData ScienceConstruction Workforce IntelligenceConstruction ManagementSupply Chain and OperationsPublic Policy

About the company

AlphaHire is a Workforce Intelligence Platform that helps executives evaluate execution risk in capital-intensive markets.

Job description

Summary

The Workforce Intelligence Lab is an applied workforce research initiative focused on construction labor markets, workforce planning, compensation intelligence, labor scarcity analysis, and operational workforce visibility. The Research Fellow will support labor market and compensation analysis, workforce analytics, intelligence framework development, dashboard validation, reporting, and methodology documentation.

Responsibilities

  • Support workforce intelligence research initiatives
  • Assist with labor market and compensation analysis
  • Contribute to workforce intelligence reports and publications
  • Participate in workforce intelligence framework development
  • Research publicly available labor market and workforce data sources
  • Support workforce analytics and operational labor visibility initiatives
  • Assist with dashboard validation and workforce indicator analysis
  • Contribute to methodology documentation and workforce intelligence interpretation

Skills

  • Interest and some demonstrated work in labor economics, workforce analytics, operations research, industrial engineering, applied economics, statistics, data analytics, public policy, construction management, business analytics, urban planning, supply chain and operations, or data science
  • Graduate students, PhD candidates, early-career researchers, and analytically oriented professionals
  • Comfort with publicly available labor-market and compensation data
  • Interest in construction workforce intelligence rather than purely theoretical research

Qualifications

Must Haves

  • Interest and some demonstrated work in labor economics, workforce analytics, operations research, industrial engineering, applied economics, statistics, data analytics, public policy, construction management, business analytics, urban planning, supply chain and operations, or data science
  • Graduate students, PhD candidates, early-career researchers, and analytically oriented professionals

Nice to Haves

  • Comfort with publicly available labor-market and compensation data
  • Interest in construction workforce intelligence rather than purely theoretical research

Benefits

  • Flexible and remote fellowship structure of approximately 3–5 hours per week
  • Remote-first engagement

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