Data Analyst resume skills
Data Analyst Resume Skills: The Data-Backed List
The O*NET profile for analytics roles is dominated by communication: reading comprehension, writing, and speaking all rank alongside or above the technical toolkit. The data part is assumed. These phrasings show employers you can analyse and convince.
Skills employers rate highest for data analysts
Rated by the U.S. Department of Labor's O*NET programme from employer and occupational surveys — importance out of 5.
Software and tools to list on your data analyst resume
Tools flagged for this occupation in O*NET's technology skills database. List the ones you can genuinely use, spelled exactly this way.
In demand now
Hot technologies
Also known as
Job titles employers use for the same work. Mirror whichever variant your target posting uses.
How to phrase each skill on your data analyst resume
Reading Comprehension
Show you translated a vague business question into an analysis.
“Converted leadership's sales-dip question into cohort analysis within two days.”
Writing
Name the audience your reports served.
“Wrote weekly trading summary for executives; replaced three manual reports.”
Speaking
Evidence presenting insights that drove decisions.
“Presented pricing elasticity findings; region repriced, margin up 4%.”
Judgment and Decision Making
Show judgement about data quality and scope.
“Flagged duplicate tracking before launch; prevented a quarter of mis-attributed spend.”
Active Learning
Show new tool adoption tied to a need.
“Learned dbt in a month; migrated 15 legacy reports with tests.”
Mathematics
Name the statistical method and why it fit.
“Applied cohort survival analysis; corrected a 12% retention overstatement.”
Systems Analysis
Show data plumbing you understood end to end.
“Traced pipeline from source to dashboard; fixed a join that overstated revenue 8%.”
Complex Problem Solving
Evidence an analysis that needed a novel approach.
“Attributed churn spike to a single onboarding release using cohort diffs.”
Each line above ends in a decision or a saving. The ratings describe skills that predict influence, and the strongest analyst resumes show analysis being used, not just performed. Keep the two layers in balance as you tailor per application: if the posting emphasises storytelling and stakeholder work, lead with those lines; if it emphasises engineering, lead with the stack and pipeline evidence.
Skills and technology data adapted from O*NET 29.x by the U.S. Department of Labor, CC BY 4.0.
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