Do I need Python or R for a data analyst role, or is SQL and Excel enough?

Depends entirely on the posting. Many data analyst roles are SQL/Excel/BI-tool heavy with no scripting requirement; others expect Python or R for statistical work. List only what the specific job description asks for or what you're prepared to discuss in an interview.

Data Analyst Resume Keywords (2026): 70+ ATS Skills

Q: Should I quantify the impact of my data analysis work?

Yes — a bullet naming a tool or technique without a business outcome (cost saved, decision influenced, process improved) is a weaker signal than one that connects analysis to a result.

TL;DR — keyword categories

Category	Examples	Count
Core skills	Data Cleaning, Data Visualization	12
Languages & tools	SQL, Python, R, Excel, Tableau	14
Statistical concepts	Regression, A/B Testing, KPIs	10
Data infrastructure	ETL, Data Warehousing	8
Certifications	Google Data Analytics, Tableau	6
Action verbs	Analyzed, Automated, Forecasted	10

01Core skills

Data Cleaning Data Visualization Dashboard Development Trend Analysis Root Cause Analysis Data Modeling Reporting Automation Ad Hoc Analysis Data Validation Requirements Gathering Cross-Functional Reporting Data Storytelling

02Languages & tools

Match the specific tool the posting names — "BI tools" is too vague to score on.

SQL Python R Excel (Pivot Tables, VLOOKUP) Tableau Power BI Looker Google Sheets Jupyter Notebook pandas NumPy Snowflake BigQuery Alteryx

03Statistical concepts

Regression Analysis Hypothesis Testing A/B Testing Key Performance Indicators (KPIs) Cohort Analysis Statistical Significance Forecasting Descriptive Statistics Correlation Analysis Predictive Modeling

04Data infrastructure & certifications

ETL (Extract, Transform, Load) Data Warehousing Data Governance Data Pipelines Database Management API Integration Google Data Analytics Certificate Microsoft Certified: Data Analyst Associate Tableau Desktop Specialist

05How to actually use these keywords

Tools and languages can go straight into a Skills line. But the keywords that actually move your score are embedded in a bullet next to a measurable business outcome, using what we call the X-Y-Z formula — Accomplished X, measured by Y, by doing Z.

Weak:   "Responsible for building reports for the team."
Better: "Built a Tableau dashboard tracking weekly sales performance."
Best:   "Built a Tableau dashboard automating weekly sales reporting, cutting manual reporting time 70% and surfacing a trend that redirected $200K in ad spend."

🎯

Pull from the posting, not this list

This list is a reference, not a checklist to copy wholesale. The keywords that actually move your score are the ones that appear in the specific job description — paste it into our free scorer and it'll surface exactly which ones you're missing.

06Frequently asked questions

What ATS keywords do data analyst resumes need?

SQL and the specific visualization/analysis tools named in the posting, plus statistical concepts when the role calls for them. Naming the exact tool matters more than describing skill level generally.

Do I need Python or R, or is SQL and Excel enough?

Depends entirely on the posting. List only what the specific job description asks for or what you're prepared to discuss in an interview.

Should I quantify the impact of my data analysis work?

Yes — a bullet naming a tool without a business outcome is a weaker signal than one that connects analysis to a result.

See which keywords your resume is missing.

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