Economist, US Labor Markets & Data Analytics

The Conference Board; New York (NY); Híbrido; USD 120.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work

Learning & development

Advancement opportunities

On-site health initiatives

Collaborative environment

Descripción de la vacante

The Conference Board in the United States seeks an Economist in its NYC area to deliver trusted labor market insights. The role emphasizes deep econometric and data science work, modeling trends across wages, employment, and regional analyses, with collaboration across ESF Center teams and senior leadership.

Ideal candidates have a Master’s, 3–5 years in a data-driven research setting, and strong coding skills in R/Python, plus data visualization and executive communication capabilities.

Formación

• Master's degree in Economics or related field with data science emphasis.
• 3–5 years in a data-intensive research setting focused on US labor markets.
• Strong econometric and time-series forecasting experience.
• Proficiency in R, Python, and data visualization tools.

Responsabilidades

• Build labor market analytics and contribute to thought leadership.
• Develop, maintain, and update labor market indicators and tools.
• Model wages, employment, population, shortages, and openings.
• Deliver insights via papers, webcasts, and executive briefs.
• Collaborate with cross-functional teams and manage timelines.

Conocimientos

Economics

Data science

Statistical analysis

Econometrics

R

Python

Excel

STATA

EViews

SAS

Matlab

Time-series

Forecasting

Data visualization

Communication skills

Educación

Master's degree in Economics

Herramientas

R

Python

EViews

STATA

SAS

Matlab

Excel

Descripción del empleo

The Conference Board in the United States seeks an Economist in its NYC area to deliver trusted labor market insights. The role emphasizes deep econometric and data science work, modeling trends across wages, employment, and regional analyses, with collaboration across ESF Center teams and senior leadership.

Ideal candidates have a Master’s, 3–5 years in a data-driven research setting, and strong coding skills in R/Python, plus data visualization and executive communication capabilities.