Economic Analyst
Listed on 2026-09-04
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Research/Development
Data Scientist, Economics -
IT/Tech
Data Analyst, Data Scientist
The Dakota Institute conducts independent economic research and advisory work for organizations throughout South Dakota and the Northern Plains. Our engagements include statewide economic impact studies, fiscal feasibility analysis for municipalities and development projects, and research and consulting services for foundations, public institutions, and industry organizations.
As an analyst, you’ll work on projects from end-to-end — from initial data collection to the final deliverable — working closely with leadership and directly with the clients who use the work. The scope of the role is unusually wide for an analyst position.
We’re looking for someone with a strong technical background, the judgment to structure an analysis independently, and the ability to communicate findings clearly to technical and non-technical audiences alike.
Objectives and Responsibilities- Analyze economic data to identify trends and opportunities relevant to policymakers, business leaders, and clients.
- Write research reports, including data tables and visualizations, that clients and stakeholders use to make decisions.
- Build and maintain the workflows and processes behind our data collection, analysis, and reporting.
- Develop and maintain public dashboards tracking economic conditions in the state and region.
- Collect and update various datasets on a regular basis.
- Bachelor’s degree (or higher), preferably in economics, data science, computer science, mathematics, or business.
- Advanced analytical skills with experience collecting, cleaning, and analyzing complex data using appropriate software tools.
- Exceptional verbal and written communication skills.
- Two or more years’ experience in applied data analysis and research writing.
- Proficiency with data analysis tools such as R (preferred), Python, or Stata.
- Experience with economic impact modeling software such as REMI and IMPLAN.
- Experience developing data visualizations using software such as R, Python, Tableau, or Power BI.
- Familiarity with South Dakota’s economy, key industries, and policy environment.
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