Resume Skills Keywords
The skills keywords ATS systems and recruiters actually search for — listed by skill and by job — plus how to pull the right ones from the posting you're applying to.
10 skills covered across 4 categories — built from how hiring managers and ATS keyword matchers actually score resumes in 2026.
How to find the right keywords for your resume
- 1
Copy the full job description
Use the posting you're applying to, not a generic one for the title — keywords vary a lot between employers for the same role.
- 2
Pull out the hard-skill keywords
Highlight tools, software, certifications, licenses, and named methods. Skip adjectives like "motivated" or "detail-oriented" — no ATS filters on them.
- 3
Match each one to proof you have
For every keyword you genuinely have, use the posting's exact wording once in your skills section and once in an experience bullet with a concrete result. Drop the ones you don't have.
- 4
Check what you missed
Run your resume against the job description in a keyword checker to see which required terms are still missing before you apply.
Paste a job description and your resume — see which keywords you're missing in about 30 seconds. Free, no signup.
Check my keywords free →Resume skills keywords list
Only list a keyword you can back up with a bullet in your experience section. Use the job description's exact wording when it differs from ours.
SQL keywords
- SQL
- Structured Query Language
- PostgreSQL / Postgres
- MySQL
- SQL Server / T-SQL
- Snowflake
- BigQuery
- Redshift
- dbt (data build tool)
- Window functions
- Query optimization
- Stored procedures
- ETL / ELT
- Data modeling
- Joins (INNER, LEFT, FULL OUTER)
Python keywords
- Python
- pandas
- NumPy
- scikit-learn
- PyTorch / TensorFlow
- FastAPI
- Django
- Flask
- asyncio / async
- SQLAlchemy
- pytest
- Airflow
- Jupyter / Jupyter Notebook
- Type hints / mypy
- Poetry / uv / pip
Excel keywords
- Excel
- Pivot tables
- VLOOKUP / XLOOKUP
- INDEX / MATCH
- Power Query
- Power Pivot
- VBA / macros
- Financial modeling
- Dynamic arrays / LET / LAMBDA
- Conditional formatting
- Data validation
- Pivot charts
- Goal Seek / Solver
Salesforce keywords
- Salesforce
- Salesforce CRM
- Sales Cloud
- Service Cloud
- Marketing Cloud / Pardot / Account Engagement
- Salesforce Admin / Salesforce Administrator
- Salesforce CPQ
- Flow / Process Builder / Workflow Rules
- Apex
- SOQL / SOSL
- Lightning / Lightning Experience
- Report Builder / Dashboards
- Salesforce Trailhead
Project Management keywords
- Project Management
- Agile
- Scrum
- Kanban
- Waterfall
- PMP (Project Management Professional)
- PRINCE2
- Scrum Master / CSM (Certified Scrum Master)
- Six Sigma / Lean Six Sigma
- Risk Management / RAID Log
- Stakeholder Management
- Cross-functional Leadership
- Jira / Asana / Smartsheet / Monday.com / MS Project
- Gantt charts / Critical path / Dependency mapping
Customer Service keywords
- Customer Service
- Customer support
- Customer success
- Client services / Account management
- CSAT (Customer Satisfaction)
- NPS (Net Promoter Score)
- First Contact Resolution / FCR
- Average Handle Time / AHT
- De-escalation
- Zendesk / Salesforce Service Cloud / Intercom / Freshdesk / Help Scout
- Knowledge Base / KB Management
- Ticket triage
- Cross-channel support (phone / email / chat / social)
- Escalation management
Leadership keywords
- Leadership
- People management
- Team management
- Direct reports
- Mentorship / Mentoring
- Cross-functional leadership
- Coaching
- Performance management
- Stakeholder management
- Strategic leadership / Strategic thinking
- Influence without authority
- Decision-making / Judgment
- Conflict resolution
- 1:1s / One-on-ones
Communication keywords
- Communication
- Written communication
- Verbal communication
- Technical writing
- Executive communication
- Presentation skills / Public speaking
- Stakeholder communication
- Copywriting / Editorial
- Cross-functional communication
- Documentation
- Storytelling
- Active listening
- Feedback delivery
Data Analysis keywords
- Data Analysis
- Statistical analysis
- Data visualization
- SQL
- Excel
- Python / R
- Tableau / Looker / Power BI
- A/B testing / Experimentation
- Cohort analysis
- Regression analysis
- Forecasting
- Causal inference
- Dashboarding / Reporting
- ETL / dbt / Data modeling
Problem Solving keywords
- Problem Solving
- Root cause analysis / RCA
- Troubleshooting
- Debugging
- Incident response / Incident management
- Critical thinking
- Analytical thinking / Analytical reasoning
- 5 Whys / Fishbone / Ishikawa
- Strategic problem solving
- Decision-making under ambiguity
- Conflict resolution
- Issue resolution
- Process improvement
Nursing & healthcare keywords
- Patient Care
- Medication Administration
- Patient Assessment
- Care Planning
- Triage
- IV Therapy
- EHR / Charting
- BLS
- ACLS
- Wound Care
- Vital Signs
- Infection Control
- Patient Education
Registered nurse resume example · Healthcare resume examples
Construction & skilled-trades keywords
- Construction Management
- Crew Supervision
- Blueprint Reading
- OSHA Compliance
- Subcontractor Management
- Construction Scheduling
- Quality Control
- Cost Estimating
- Budget Management
- Heavy Equipment Operation
- Concrete Work
- Framing
- Site Safety
What makes these skills guides different
Bullets by experience tier
Each skill has separate beginner, mid, and senior bullet examples — because the same skill reads differently at each tier, and mismatched seniority is the #1 reason resumes get screened out.
ATS synonyms with rationale
Every skill lists the 8–14 adjacent terms ATS matchers score separately, paired with WHY each one is worth listing. Not a wall of buzzwords — a filter map.
Placement + common mistakes
Where on the resume each skill belongs, how to phrase it, and the specific filler patterns recruiters strip from their reading. The negative-space advice is what most guides skip.
Technical Skills
Hard-skill keywords — programming languages, data tools, and analytical methods that ATS systems filter on as first-pass technical screens.
SQL Resume Skills →
The #1 ATS-filtered keyword on data, analytics, and most backend job descriptions — and the cheapest miss to fix on a resume.
Python Resume Skills →
The default ATS keyword on data, ML, backend, and DevOps job descriptions — and the resume signal recruiters scan for before anything else.
Data Analysis Resume Skills →
The skill recruiters search for across analyst, ops, marketing, and product roles — and the one most candidates list without naming a single dataset, tool, or finding they actually shipped.
Tools & Platforms
Software, platforms, and systems-of-record where recruiters search for the specific product by name — and where dialect / feature specificity differentiates a credible resume from a generic one.
Excel Resume Skills →
The most listed and most under-demonstrated tool on resumes — and the one most candidates lose interviews on at the screen.
Salesforce Resume Skills →
The most filtered CRM keyword on sales, marketing, customer success, and revenue operations job descriptions — and a step up from "CRM experience".
Methodologies & Frameworks
Disciplines with named methodologies — Project Management spans certifications, Agile / Scrum / Waterfall, and program-shaped work that gets filtered separately from people-leadership.
Soft Skills
Universally listed, universally discounted phrases — communication, leadership, problem solving, customer service. The pages explain how to escape the filler trap and write each one in a way recruiters actually read.
Customer Service Resume Skills →
The most common skill on retail, support, and front-line resumes — and the one most candidates list without naming a single metric, channel, or system.
Leadership Resume Skills →
The most overused word on resumes — and the one that gets discounted fastest unless paired with a team size, a budget, and a measurable outcome someone else owned.
Communication Resume Skills →
The most listed soft skill on resumes — and the one almost every recruiter strips from their reading the moment they see the word.
Problem Solving Resume Skills →
The second-most overused phrase on resumes — and the one that costs you the most when listed without a specific problem you actually solved.
What makes a skill section credible (the pattern every guide here follows)
Recruiters read a skills section in roughly 15 seconds. A credible section names specific tools, methodologies, or techniques — paired with the artifact in your experience bullets that backs the claim. A padded section reads as filler and gets discounted entirely. The line below shows the same skill, written two ways:
Filler
"Advanced Excel; strong analytical skills; excellent communication"
Credible
"Excel (pivot tables, Power Query, dynamic arrays); SQL (Snowflake, Postgres); built the 3-statement model used by the CFO"
Not sure which keywords your resume is missing?
Run the free ATS check against the job you want — it lists the missing keywords. If you'd rather have it done for you, the generator tailors your resume to that posting using only experience you actually have.
Resume skills keywords FAQ
What are skills keywords on a resume?
Skills keywords are the specific terms — tools, certifications, methods, and named techniques — that an ATS and a recruiter search for when screening resumes: "SQL", "Salesforce", "medication administration", "OSHA 30", "blueprint reading". They're usually lifted straight from the job description. Generic traits ("hard worker", "team player") are not keywords in this sense: nobody filters on them, so they earn no match credit.
Should I copy keywords exactly as the job description writes them?
Yes, for any skill you genuinely have. Many ATS keyword matchers score the literal phrase, so "electronic health records" and "EHR" can be counted separately, and "MS Excel" may not match a search for "Excel" in older systems. Use the posting's exact wording once in your skills section and once in an experience bullet that proves it. Never add a keyword for a skill you don't have — it gets caught at interview.
What makes a resume skill worth listing?
Three filters: (1) it appears on the job description you're applying to, (2) you can credibly demonstrate it under interview questioning, and (3) listing it doesn't crowd out a stronger skill you actually want to be screened on. The skills section is finite real estate — every entry should earn its space against those three criteria. "Filler" skills (team player, hard worker, detail-oriented) almost always lose to specific tools, methodologies, or named techniques.
How many skills should I list on a resume?
Most resumes do best with 8–14 specific skills, grouped by type. Lists with 25+ entries dilute the signal — recruiters skim the section and read "this person padded their skills". Lists with 4–5 entries can look thin unless every one is high-signal (a senior IC with "Python, FastAPI, asyncio, PostgreSQL" might credibly stop there). The right count is whatever fits one tight skills section that a hiring manager can scan in 15 seconds.
Where do skills go on a resume — top or bottom?
Top, immediately under the summary line, in most cases. Recruiters scan the skills section before reading the experience section — putting skills near the bottom forces them to hunt. Exception: career-change resumes sometimes lead with a longer experience section to anchor credibility before showing the new direction's skills. For 90% of resumes in 2026, the skills block belongs in the top third of page 1.
Should I list hard skills and soft skills together or separately?
Separately, almost always. Recruiters scan for specific technical keywords first (SQL, Python, Salesforce, Excel) and visit soft skills only after the technical bar is cleared. Mixing them dilutes both — and soft skills work better when they're paired with a specific artifact in your experience bullets rather than listed abstractly. A common pattern: "Technical: SQL, Python, Tableau, dbt. Methodologies: Agile, A/B testing, cohort analysis."
Do I tailor my skills section to each job, or use one master list?
Tailor it. The skills section is the highest-leverage place to mirror the job description's literal keywords — ATS keyword matchers run there first, and recruiters scan it for the exact tokens the JD asked for. Maintaining one master list of every skill you have and pruning it to the 10–14 most JD-relevant per application is the standard pattern. Untouched-master-list resumes underperform job-tailored ones by a wide margin on ATS match rates.