About The Position

Lightcast is hiring an Economic Research Analyst / Junior Data Scientist for its Professional Services team. The role translates client research questions into data analyses and repeatable workflows, producing clear, actionable insights for public sector organizations, educational institutions, companies, and other economic stakeholders. The position uses data and quantitative methods to answer client questions, develops repeatable workflows and client-ready materials, and communicates research findings to clients and internal teams. It also uses and evaluates LLM tools to support research and deliverables. Lightcast is a global leader in labor market insights, with headquarters in Moscow, Idaho, and offices in the United Kingdom, Europe, and India. It works with partners across six continents to support economic prosperity and mobility. Lightcast is an equal opportunity workplace committed to diversity of thought and unique perspectives.

Requirements

  • 2–4 years of experience in quantitative research, data analysis, or data science.
  • Bachelor’s or master’s degree in Economics, Public Policy, Data Science, Statistics, or another quantitatively focused field.
  • Experience working with APIs to access, integrate, and analyze data.
  • Authorization to work in the United States without current or future employer sponsorship.

Responsibilities

  • Query, clean, and analyze large datasets using SQL, Python, and Snowflake. Data sources may include Lightcast, government and third-party sources, and client datasets.
  • Build and maintain data pipelines and create indices or composite measures for custom analyses.
  • Apply statistical and quantitative methods, including benchmarking, correlation, and trend analysis, to answer client questions.
  • Adapt proven methods into repeatable workflows, trial new research approaches, and apply core labor market economics concepts.
  • Develop client-ready materials in Excel, PowerPoint, and Word, as well as visualizations and dashboards in Tableau or similar tools.
  • Present research to clients and internal teams, and communicate findings in ways that reflect what the data can support.
  • Use LLM tools to assist with coding, debugging, documentation, data tasks, dashboards, and draft deliverables; review and refine outputs for accuracy and quality.
  • Keep current with AI tools relevant to labor market research and share useful approaches with the team.
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