Technical skills
SQL querying
Spreadsheet modeling
BI dashboards
Data visualization
Statistical analysis
Data cleaning
Experiment analysis
Reporting automation
Resume Keywords for Data Analyst
Data Analyst resume keywords that help pass ATS filters
Data analyst resumes should connect tools, analysis methods, and business decisions so ATS filters see more than generic reporting work. Use this guide to choose natural keywords, split skills cleanly, and write bullets that match what applicant tracking systems scan for.
ATS keyword focus
Data Analyst Resume
Priority
High
SQL#1
Excel#2
Tableau#3
Power BI#4
Python#5
data cleaning#6
dashboarding#7
Priority ATS terms
Most important ATS keywords for Data Analyst
Add keywords only where they honestly describe your experience. The strongest resumes use these terms in skills, experience bullets, projects, and summary text.
SQLExcelTableauPower BIPythondata cleaningdashboardingKPI reportingforecastingA/B testingdata visualizationstakeholder reportingETLcohort analysisGoogle Analytics
Skills breakdown
Technical and soft skills for Data Analyst resumes
Soft skills
Stakeholder management
Business storytelling
Prioritization
Curiosity
Executive communication
Attention to detail
Strong verbs
Action verbs for Data Analyst resumes
Start bullets with verbs that show ownership, then follow with the tool, responsibility, scope, and measurable result.
Analyzed
Built
Automated
Visualized
Forecasted
Segmented
Cleaned
Modeled
Reported
Presented
Optimized examples
Example optimized bullet points for Data Analyst
These bullets work because they combine ATS keywords with evidence. Use the same structure with your real tools, scope, and numbers.
1
Built Tableau dashboards using SQL and Excel data models, reducing weekly KPI reporting time by 6 hours for sales and operations leaders.
2
Analyzed customer cohorts and churn patterns in Python, identifying retention drivers that informed lifecycle campaigns and lifted renewal rate by 9%.
3
Automated data cleaning workflows for monthly revenue reports, improving reporting accuracy and giving executives faster visibility into pipeline trends.
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Once you know the role-specific keywords you need, compare ATS workflows, scoring depth, and pricing tradeoffs.
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Build a Data Analyst resume around the exact job description
Generic keyword lists are a starting point. For the best ATS match, scan your resume against the specific job description and fix the missing terms before applying.