20 tasks, each one witnessed by the sources that watched the job — and behind every one, a prompt you can use tonight.
You’ll split time between office work and field meetings. Morning might be writing a project plan or editing an environmental impact statement in Microsoft Word or Adobe Acrobat; midday could be analyzing traffic counts in Microsoft Excel or IBM SPSS, and afternoons attending a public meeting or coordinating with engineers on AutoCAD Civil 3D drawings.
Some days you run or check models in ESRI ArcGIS or transport-simulation tools, visit a corridor project site, and draft policy recommendations. Expect back-and-forth with local officials, drafting reports, and scheduling public hearings.
You don’t always need a formal statistics degree but you must handle data and basic analysis. You’ll collect traffic data, run descriptive stats in Excel, and sometimes use IBM SPSS for regressions or complex tests when analyzing system use or survey results.
Knowing how to clean data, run basic tests, and report results clearly is key. On-the-job courses or short SPSS workshops plus practice with Excel will cover most needs.
Yes, AI can draft outlines, summarize meeting notes, or suggest edits. Use it to speed up repetitive writing — for example, create a first draft of a project plan or a plain-language summary of an environmental impact statement.
Never rely on AI for legal or technical accuracy. Always verify policy, legal citations (public law or environmental legislation), numerical results from SPSS/Excel, and check maps or AutoCAD drawings yourself before sharing.
Strong writing and public-speaking skills matter: you’ll prepare proposals, environmental impact statements, and lead public meetings. Be able to explain technical findings in plain language.
Technical skills are next: Excel for data, ESRI ArcGIS for maps, and familiarity with AutoCAD Civil 3D and SPSS are valuable. Also build knowledge of environmental legislation, public law, and how to run corridor or transport planning projects.