On-Site Economic Research Analyst & Data Scientist (Idaho)

Economicmodeling; Moscow (ID); On-site; USD 70,000 - 110,000; Full time

Job summary

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.

You will query, clean, and analyze large datasets using SQL, Python, and Snowflake; build data pipelines; apply statistical methods; develop client-ready

Qualifications

• 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.

Responsibilities

• Query, clean, and analyze large datasets using SQL, Python, and Snowflake.
• Build and maintain data pipelines and create indices or composite measures for analyses.
• Apply statistical and quantitative methods to answer client questions.
• Develop client-ready materials in Excel, PowerPoint, and Word, and create visualizations and dashboards in Tableau or similar tools.
• Present research to clients and internal teams, explaining findings clearly and accurately.

Skills

Quantitative research

Data analysis

Data science

Education

Bachelor’s or Master’s in Economics/Data Science

Tools

SQL

Python

Snowflake

APIs

Job description

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.

You will query, clean, and analyze large datasets using SQL, Python, and Snowflake; build data pipelines; apply statistical methods; develop client-ready