TL;DR
Data analyst screening is unusually technical: the ATS matches specific languages and tools. Recruiters spend an average of just 7.4 seconds on the first pass of a CV. If your data analyst CV is filtered before a human reads it, the keywords an ATS expects are usually missing.
The fix is not keyword-stuffing
At CVPilot the pattern that works is consistent:
- Summary leads with your strongest keywords, anchored to a quantified result
- Every bullet pairs a keyword with a number
- Tools and systems named explicitly so the parser matches them
The contrarian bit
Most data analyst CVs are a list of tools. The analysts who get hired prove an analysis changed a decision. The tools are the entry ticket, not the story.
Full guide with the exact data analyst keywords, placement, and metrics: https://cvpilot.pro/blog/data-analyst-cv-keywords-ats?utm_source=devto&utm_medium=organic&utm_campaign=data-analyst
What keyword do most data analysts forget?
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