Data Analyst

Role overview

Analyze labor-market and workforce data to produce research, client insights, written content, and data-driven stories. This intermediate role joins an Economics team and combines empirical analysis with communication: you will explore large datasets, identify meaningful trends, contribute to recurring publications, support research collaborations, and help clients understand relevant findings.

Responsibilities

- Load, clean, analyze, and visualize workforce and labor-market data using scripting and query tools. - Develop questions and analyses for a recurring newsletter, interpret the results, and communicate the key story through charts and written explanation. - Work with economists and data scientists on consulting engagements, research collaborations, and projects involving external audiences such as journalists. - Produce custom insights for clients and help answer data-related questions. - Partner with the Sales team to support prospective clients and product trials. - Contribute to reports and other research-oriented deliverables while helping stakeholders make effective use of the data.

Requirements

- Undergraduate degree in Economics or a closely related field. - Coursework or practical experience in applied economic research or data analysis. - Working knowledge of Python, including tools such as pandas, NumPy, Matplotlib, or Plotly. - Proficiency with SQL. - Interest in labor-market trends, business analytics, and human resources. - Ability to ask useful questions, interpret evidence, and tell a clear story with data.

Benefits and work setup

- Full-time role with a remote option; an office-based arrangement in New York City is also described. - The listed New York City base-salary range is $85,000–$100,000 per year; pay outside that location may differ. - The source mentions possible equity participation and medical, dental, vision, retirement, and other benefits.