20 tasks, each one witnessed by the sources that watched the job — and behind every one, a prompt you can use tonight.
You spend time reading trade data, running tests in Excel or SPSS, and writing short reports in Word. Mornings often mean checking trade feeds, emails in Outlook, and meeting colleagues to set priorities.
Afternoons go to deeper analysis: building forecasts in Excel or Power BI, reviewing partner drafts, or preparing slides in PowerPoint for stakeholders. Some days are fieldwork or teaching, other days you supervise student research or work on a paper for a think tank.
Expect heavy use of Microsoft Excel for data cleaning, pivot tables, and simple regressions; Word for reports; PowerPoint for presentations; and Outlook for scheduling and emails.
For statistics you’ll use IBM SPSS Statistics or similar (Stata/R are common too). Power BI or Access may handle larger datasets and dashboards when teams need recurring visual reports.
Use AI for drafting report text, generating quick code snippets, or summarizing long papers, but always verify outputs against raw data and your statistical software. Treat AI as a drafting assistant, not a substitute for Excel or SPSS results.
Keep a clear audit trail: save code, datasets, and model outputs. Don’t accept AI-generated causal claims; re-run regressions in SPSS/Excel and document assumptions before including them in Word or PowerPoint.
BLS reports 17,790 employed trade economists with a median pay of $124,720 per year. The lowest tenth earn about $67,360 and the top tenth about $238,060, according to the U.S. Bureau of Labor Statistics (BLS).
Salary varies by employer (government, think tank, university, private firm), location, and whether you teach or supervise funded research. Use BLS as a baseline and check job postings in your city.
Start with a bachelor’s in economics, international relations, or statistics, then learn Excel, basic SPSS or Stata, and PowerPoint. Take courses in microeconomics, international trade, and econometrics; practice with real trade datasets.
Get research experience: assist a professor, join a think tank internship, or do student projects where you collect data, run regressions in SPSS/Excel, and write reports in Word. Supervising small student projects is a common next step.
A trade economist focuses on data, models, and forecasts—using Excel, SPSS, and Power BI—to estimate policy or tariff impacts. You write analytic reports, forecasts, and academic pieces.
An international trade lawyer focuses on regulations and case law and gives legal advice. A trade analyst may do more monitoring and short reports; trade economists often do deeper statistical work, publish in think tanks, and provide expert testimony.
Statistical analysis skill: being able to collect data, run regressions, and interpret results in SPSS or Excel. That skill shows up in forecasting, evaluating policy impacts, and producing publishable research.
If you can clean datasets, run robust regressions, and turn results into clear Word reports and PowerPoint slides, you’ll handle most tasks: forecasting trends, advising on policy, and supporting litigation or expert testimony.