20 tasks, each one witnessed by the sources that watched the job — and behind every one, a prompt you can use tonight.
You will spend time reading data and running models in Excel, SPSS, or Power BI, then writing up results in Word and slides in PowerPoint. A morning might be cleaning survey files, the afternoon running regressions, and late day drafting a short report or slide deck for policymakers or clients.
Expect meetings: with supervisors, project teams, or students you supervise. Some days are fieldwork or data collection; other days are focused on analysis, forecasting, or preparing testimony if you’re doing litigation support.
Start with Microsoft Excel because you’ll use it for cleaning data, pivot tables, and basic regressions every day. Next learn SPSS (IBM SPSS Statistics) for common statistical tests and Microsoft Power BI for dashboards and presentations to non-technical audiences.
Also get comfortable with Word and PowerPoint for reports and briefings; Access helps if you work with larger databases. Employers often list these six tools: Excel, SPSS, Power BI, Access, Word, and PowerPoint.
Use AI to draft plain-language summaries, suggest literature, or generate code snippets for Excel/SPSS as a starting point. Always check AI output against original data, peer-reviewed papers, and your own calculations—AI can invent sources or code that looks plausible but is wrong.
Never use AI to produce final forecasts, legal reports, or expert testimony without full human verification. Keep a record of prompts and edits so you can show how you validated any AI-assisted output.
According to the U.S. Bureau of Labor Statistics (BLS), 17,790 people were employed as economists/economic research analysts in 2025. The median pay was $124,720 per year; the lowest 10% earned about $67,360 and the top 10% earned about $238,060 per year (BLS).
Your pay will vary by sector: government, think tanks, universities, or private firms. Seniority, publications, and specialized domains (finance, energy, trade) move you toward the top end.
Economic research analysts focus on explaining economic behavior: policy impacts, market trends, trade, and resource allocation. You’ll write about policy, forecast macro or sector trends, and may provide litigation support or testify. Tools overlap — Excel, SPSS, Power BI — but the questions are economics-first.
Data scientists often build production ML systems and use Python/R more, while statisticians focus on methodology across fields. If you enjoy economic theory, policy writing, and teaching methods, this job fits better.
Take intermediate and advanced economics courses: micro, macro, econometrics, and a course using SPSS or statistical software. Learn Excel well (pivot tables, regressions) and try a Power BI or Access class for data handling.
Find research assistants jobs with professors or internships in government agencies, think tanks, or financial firms. Start publishing small policy briefs or participating in student research projects to build a portfolio.