Economic Research Analyst / Junior Data Scientist - 1089
Summary
On-site junior data scientist/economic research role at Lightcast in Moscow, Idaho, translating client research questions into data analyses on large datasets using SQL, Python, and Snowflake. The analyst builds pipelines, applies statistical methods, creates Tableau dashboards and client-ready deliverables, and uses LLM/AI tools to speed up research workflows.
Important information before applying:
Location: This position is based on-site in Moscow, Idaho, and requires five days per week in the office. We will consider only candidates who currently live locally or are willing to relocate.
Work Authorization: To respect your time, we cannot provide employment visa sponsorship for this position now or in the future. Before applying, please confirm that you are authorized to work in the United States without current or future employer sponsorship.
Major Responsibilities:
-
Query, clean, and analyze large datasets using SQL, Python, and Snowflake. Sources may include Lightcast data, government and third-party data, and client datasets.
-
Build and maintain data pipelines and create indices or composite measures for custom analyses.
-
Apply statistical and quantitative methods, such as 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.
-
Deliver project milestones on time, document tools and methods, contribute to internal research and product work, and support proposals and RFP responses.
-
Collaborate with consultants, researchers, and analysts as a supportive and empathetic teammate.
Education and Experience:
-
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.
Lightcast is a global leader in labor market insights with our headquarters located in Moscow, ID (US) and other offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.
Lightcast is proud to be an equal opportunity workplace and does not discriminate on the basis of federally protected statuses. Lightcast has always been, and always will be, committed to diversity of thought and unique perspectives. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.
Skills
As published by lever · 8 questions · 3 written answers
Basics
Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, GitHub URL, Portfolio / Other URL
Pick from a list (5)
- Will you now or in the future (1-4+ yrs) require employer-sponsored immigration support (such as an H-1B, TN, E-3, O-1, OPT, visa, or employment-based green card) in order to work in the United States?
- Are you currently within commuting distance to our Moscow, ID office (within 50 miles)?
- If not, are you available for relocation? optional
- Do you reside in one of the following states: Alaska, Arkansas, California, Delaware, Mississippi, Montana, Nebraska, New Mexico, North Dakota, Rhode Island, South Dakota, Vermont, West Virginia or Wyoming?
- Were you referred by, or do you personally know, a current Lightcast employee? If yes, please provide the employee’s name. If you do not have a specific employee name to provide, please select No.
Written answers (3)
- What are your salary requirements?
- Please list your home address
- If so, please list their name here: optional