Keyword Atlas · Data & Analytics · No 08
The words hiring systems and data analyst hiring managers actually look for, drawn from the U.S. Department of Labor occupational database and the bodies that certify this field. Sourced, dated, and checked by machine.
The keywords
Tap any keyword to see exactly where it comes from and how to use it in a real bullet.
Wage terrain
Placement
Title, years, primary tools, one scale or impact number.
Hard skills and tools, each attached to a measurable business outcome.
Exact-phrase matching for screening software. Name the languages and platforms directly.
One or two signature keywords woven into a story. Never a list.
The receipts
Employers admit their screening systems filter out qualified candidates who don't match a job posting's exact wording.VERIFIED · HBS 2021
Recruiters only spend about six seconds looking at your resume.VENDOR STUDY · N=30
Asked constantly
Lead with the specific tools and languages in the job posting. This occupation's federal task data centers on cleaning, analyzing, and visualizing data and turning it into a business recommendation, so pair each tool keyword with an outcome.
Not yet. Data Analyst maps to O*NET's Data Scientists occupation, one of the newer detailed occupations, and it has not yet gone through the incumbent survey that produces skill and knowledge importance rankings. This page's hard-skill list is drawn from the occupation's task statements instead, not an importance ranking.
No. Match the posting first, then add one or two more that show range. A long unfiltered list is a common resume mistake across every field, not unique to data roles.
No verified universal number exists. The stronger practice is matching the specific tools, languages, and platforms named in the posting rather than hitting a target count.