20 tasks, each one witnessed by the sources that watched the job — and behind every one, a prompt you can use tonight.
You usually split time between fieldwork and desk work. Mornings might include training recruiters, checking survey equipment, or running underwater or land surveys and recording measurements on-site.
Afternoons are often behind a computer: entering or cleaning data in Excel or Access, running analyses in IBM SPSS Statistics, and making charts in PowerPoint or Word to summarize findings for the team using Microsoft Teams to collaborate.
Expect Excel daily for raw data cleaning and simple summaries, and IBM SPSS Statistics for formal analyses like weighting and nonresponse adjustments. Use Access if the project has larger databases.
Microsoft Project helps schedule field teams; Teams and Word are for reports and communication; PowerPoint is for visual summaries. You’ll toggle among these several times each week.
You follow ethical standards: collect only needed variables, get consent in writing, and store identifiers separately. On the systems above, limit access to Excel/Access files and use Teams or SharePoint with restricted permissions.
When presenting, anonymize results in PowerPoint and Word and report sampling methods and nonresponse rates so readers can judge bias. Ask your institutional review board (IRB) or supervisor for site-specific rules.
BLS reports 8,290 employed in this category. The 2025 median wage is $69,460 per year. The lowest tenth earn about $39,260, and the top tenth make about $130,860, according to the U.S. Bureau of Labor Statistics (BLS).
Actual pay depends on your location, industry (government, private, marine research), and whether you run field teams or focus on analysis.
Begin with basics: a statistics course that covers sampling and nonresponse, and a class on survey methods that includes question testing and ethics. Practice with Excel and then learn IBM SPSS Statistics for weighting and hypothesis tests.
Get hands-on by helping on a small field project: calibrate instruments, record measurements, recruit respondents, and document operations. That practical loop—design, collect, analyze—matters most.
A data analyst focuses on survey design, sampling issues, data cleaning, and statistical interpretation (using Excel, SPSS, Access). They also write proposals and summarize findings for stakeholders.
A field surveyor or marine survey technician spends more time operating instruments, mapping marine environments, calibrating equipment, and recording measurements in the field. Many projects need both roles and overlap on documentation and instrument checks.
Learn to design and test clear survey questions and then handle the resulting data. That means knowing how to write and pilot questions, detect nonresponse problems, and adjust sampling or weighting.
Pair that with hands-on Excel skills (cleaning, pivot tables) and basic SPSS use for tests and weighting. Those skills let you turn field measurements and survey responses into reliable results you can visualize in PowerPoint.