How to List Data Analysis on Your Resume

Data analysis is a cross-functional skill appearing in analyst, marketing, product, and operations roles. ATS systems scan for tools (SQL, Excel, Tableau) and statistical methods.

Where to Put Data Analysis on Your Resume

Include 'Data Analysis' in Skills alongside specific tools. In experience bullets, describe the data scale, method used, and business outcome.

ATS Keyword Variants

ATS systems may recognize these variations. Include the most common ones.

Data Analysisdata analyticsbusiness analysisstatistical analysisquantitative analysis

Example Resume Bullets with Data Analysis

1Analyzed 3 years of customer churn data (500K records) identifying 5 key predictors, reducing churn by 18%
2Built Tableau dashboards for executive team tracking 20 KPIs across 4 business units in real-time
3Conducted cohort analysis revealing 40% LTV difference between acquisition channels, redirecting $1M ad budget

Related Skills to Include

SQLPythonTableauExcelstatisticsPower BIA/B testing

Optimize your Data Analysis resume for ATS

MultiResume scores your skills against the job description and suggests improvements.

Start Free

More Skills Guides

Python

Python is one of the most in-demand programming languages. It appears in data science, backend development, automation, and machine learning job descriptions.

SQL

SQL appears in nearly every data, analytics, backend, and business intelligence job description. Proficiency levels range from basic queries to complex window functions and optimization.

Microsoft Excel

Advanced Excel skills remain highly valued in finance, operations, and business analyst roles. ATS systems scan for specific capabilities: pivot tables, VLOOKUP, macros, VBA.