Data Analyst Resume Keywords (2026)
Last updated: July 2026
Most important data analyst resume keywords
- SQL
- Tableau
- Excel
- Dashboarding
- ETL
- Data modeling
- KPI reporting
- Stakeholder communication
Copy-paste into skills and bullets where truthful. Full categorized lists below.
Wrong role? Business analyst keywords, systems analyst keywords, or data science keywords.
Most data analyst resumes are missing several of these keywords — often enough for an ATS to filter them out before a recruiter ever looks.
Scan my resume for missing keywords — freeSee your gaps in seconds · no signup · no job description needed
This checklist is for data analyst and analytics roles only. For BA, systems, or data science titles, use the dedicated hubs: /business-analyst-resume-keywords or /data-scientist-resume-keywords. For Power BI–only, SQL developer, or data engineer stacks, use the keyword pages linked from /resume-keywords.
What are Data Analyst resume keywords?
Data analyst resume keywords are the specific tools, skills, and phrases that applicant tracking systems (ATS) and recruiters scan for on a data analyst resume. The most important include SQL, Tableau, Excel, Power BI, Looker, dbt, Python, dashboarding, ETL, KPI reporting, and A/B testing. These keywords should appear in your experience bullets with metrics — not just listed in a skills section.
Use the lists below to copy keywords for your role. Then run the resume keyword scanner to see which ones you're missing.
Keywords for Data Analyst Resume (2026 ATS Checklist)
Use this section when your search or job posting uses alternate wording. The full categorized lists below include tools, technical skills, and action verbs.
Data Analytics Resume Keywords
Many postings use data analytics wording instead of data analyst in the title. These analytics resume keywords overlap with the lists below—mirror the job description literally.
- Cohort analysis
- Funnel analysis
- Segmentation
- Attribution
- Data visualization
- KPI reporting
- A/B testing
- Retention analysis
- Forecasting
- Root cause analysis
- Data quality
- Stakeholder reporting
Search variants: data analytics keywords, data analytics keywords list, data analytics resume keywords.
Quick copy: top data analyst ATS keywords
Core keywords
- A/B testing
- Cohort analysis
- Funnel analysis
- Data visualization
- Dashboarding
- KPI reporting
- Data quality
- ETL
Tools
- SQL
- Looker
- Tableau
- Excel
- dbt
Action verbs
- analyzed
- segmented
- reported
- diagnosed
- benchmarked
Copy-ready block
Top 10 keywords: SQL, Excel, Tableau, Looker, dbt, A/B testing, Cohort analysis, Funnel analysis, Data visualization, Dashboarding
How to use these keywords in resume bullets
Short patterns below—see full data analyst bullet examples for a complete sample resume.
- Used SQL and dbt models to standardize funnel definitions across product and marketing, reducing KPI discrepancies by 41% across weekly reporting.
- Built executive Tableau dashboards for acquisition, activation, and retention, cutting ad-hoc analysis turnaround from 2 days to 4 hours.
- Ran cohort and segmentation analysis in Looker and Excel, identifying onboarding drop-off drivers and improving activation by 8.3%.
- Designed experiment readouts for A/B tests, validating pricing page changes that lifted trial-to-paid conversion by 6.1%.
- Diagnosed paid channel CAC drift through attribution analysis, helping reallocate budget and improve blended ROAS by 14% in one quarter.
- Automated recurring KPI reporting pipelines, saving ~11 analyst hours per week and improving stakeholder decision latency.
Data Analyst keywords by seniority
Entry-level
- SQL fundamentals
- Excel reporting
- Dashboard maintenance
- Data cleaning
Mid-level
- Cohort analysis
- Experiment readouts
- dbt modeling
- Stakeholder alignment
Senior-level
- Metric definitions governance
- Decision impact storytelling
- Cross-functional KPI strategy
- Analytics roadmap ownership
Data Analyst resume keyword clusters
Grouped data analyst resume keywords recruiters and ATS match to specialized job descriptions.
Data & analytics keywords
- Funnel analysis
- Cohort analysis
- Segmentation
- Root cause analysis
- Attribution
Tools
- SQL
- Looker
- Tableau
- Excel
- dbt
Concepts & practices
- A/B testing
- KPI reporting
- Data quality
- Business intelligence reporting
- Forecasting
Data Analyst resume keywords by category (ATS checklist)
Expand each category for a full keyword list and phrasing patterns. Use them as your master checklist, then confirm coverage with the resume keyword scanner.
Core Keywords
Hiring teams look for analysts who can own definitions, ship trustworthy reporting, and drive decisions, not only pull queries. These clusters align with how ATS maps analyst postings to resumes.
SQL, data modeling & BI
Foundation for almost every analyst role.
- SQL
- CTEs
- window functions
- joins
- dbt
- data modeling
- star schema
- Looker
- Tableau
- Power BI
Metrics, funnels & business context
Shows you connect data work to outcomes.
- KPIs
- OKRs
- funnel analysis
- conversion rate
- retention
- churn
- cohort analysis
- segmentation
- ROI
- forecasting
Experimentation & causal language
Increasingly required even outside pure DS roles.
- A/B testing
- experiment results
- holdout groups
- incrementality
- significance
- confidence intervals
- sample size
- guardrail metrics
- post-stratification
- bias checks
Data quality, governance & ops
Signals maturity for larger orgs.
- data quality
- anomaly detection
- SLAs
- data dictionaries
- lineage
- ETL
- Airflow
- Snowflake
- BigQuery
- Redshift
Stakeholder enablement & communication
Analysts win on influence and clarity.
- requirements gathering
- executive summaries
- slide decks
- workshops
- ad hoc analysis
- narratives
- prioritization
- stakeholder management
- cross-functional
- self-serve analytics
resume keyword scanner — check whether your resume includes these core keywords. Have a specific posting? Compare resume to job description.
Technical Skills Keywords
Analyst resumes should read like a toolkit tied to business questions. Group skills the way finance/product orgs think: definitions, reporting, diagnostics, and experimentation support.
SQL & analytics engineering
Core analyst technical bar.
- SQL
- CTEs
- window functions
- joins
- subqueries
- query optimization
- dbt
- data tests
- documentation
- version control
BI & visualization
How insights are consumed.
- Tableau
- Looker
- Power BI
- LookML
- DAX
- data modeling
- semantic layer
- dashboard design
- storytelling
- self-serve
Statistics & experimentation support
Differentiates strong analysts.
- significance testing
- confidence intervals
- sample size
- A/B testing support
- power analysis
- bias checks
- forecasting
- seasonality
- segmentation
- propensity
Warehouse & pipeline awareness
Modern analyst expectations.
- Snowflake
- BigQuery
- Redshift
- ETL
- Airflow
- Fivetran
- data quality
- DQ tests
- lineage
- scheduling
Productivity & collaboration tools
Often in JDs.
- Excel
- Google Sheets
- Notion
- Confluence
- Jira
- Git
- Python
- pandas
- APIs
- CSV tooling
resume keyword scanner — check whether your resume includes these technical skills keywords. Have a specific posting? Compare resume to job description.
Tools and Platforms Keywords
Analyst roles often specify exact BI and warehouse tools. Literal alignment with the posting improves ATS match quality.
BI & visualization platforms
Primary analyst surfaces.
- Tableau
- Looker
- Power BI
- Mode
- Sigma
- Metabase
- Qlik
- Google Data Studio
- ThoughtSpot
- Hex
Warehouses & query engines
Where data is queried.
- Snowflake
- BigQuery
- Redshift
- Databricks SQL
- Presto
- Trino
- Athena
- Synapse
- Postgres
- Vertica
Transformation & orchestration
Analytics engineering overlap.
- dbt
- Airflow
- Fivetran
- Stitch
- Airbyte
- Matillion
- Prefect
- Dagster
- cron
- data tests
Collaboration & ticketing
How work flows.
- Jira
- Linear
- Asana
- Confluence
- Notion
- Slack
- ServiceNow
- Zendesk
- Google Sheets
- Excel
Experimentation & product analytics tools
Growth-oriented analysts.
- Amplitude
- Mixpanel
- Heap
- Optimizely
- Statsig
- Google Analytics 4
- Adobe Analytics
- Segment
- mParticle
- Singular
resume keyword scanner — check whether your resume includes these tools and platforms keywords. Have a specific posting? Compare resume to job description.
Action Verbs
Analyst bullets should sound like ownership of insights: diagnosed, quantified, recommended, not only ‘created reports’.
Analysis & diagnostic verbs
Core analyst impact.
- analyzed
- diagnosed
- quantified
- segmented
- benchmarked
- forecasted
- reconciled
- validated
- investigated
- root-caused
Reporting & enablement verbs
How insights spread.
- built dashboards
- automated reporting
- standardized metrics
- documented definitions
- trained stakeholders
- enabled self-serve
- presented findings
- facilitated reviews
- supported planning
- tracked KPIs
Experiment support verbs
Growth analysts.
- supported experiments
- validated results
- defined metrics
- monitored guardrails
- sliced results
- summarized readouts
- recommended next steps
- tracked adoption
- measured lift
- checked for bias
Process improvement verbs
BA/analyst hybrid.
- identified inefficiencies
- proposed process changes
- reduced manual work
- improved accuracy
- cut turnaround time
- streamlined
- documented workflows
- partnered with ops
- tracked savings
- implemented controls
Weak analyst phrasing
Replace with specifics.
- helped
- assisted
- supported reporting
- data entry
- general analysis
- various ad hoc
- looked at
- touched
- familiar with
resume keyword scanner — check whether your resume includes these action verbs. Have a specific posting? Compare resume to job description.
Project Keywords
Analyst projects should emphasize the business question, the metric definition, and the decision influenced.
Business questions & KPIs
Why the analysis mattered.
- funnel drop-off
- campaign performance
- cohort retention
- unit economics
- forecast accuracy
- pipeline health
- customer segmentation
- operational efficiency
- support volume
- churn drivers
Data sources & quality
Trust signals.
- warehouse
- events
- CRM
- billing
- surveys
- reconciliation
- data quality
- missing data
- definitions
- grain
Methods & deliverables
How you worked.
- SQL
- dashboards
- Excel models
- forecasting
- segmentation
- experiment readout
- insight deck
- executive summary
- ad hoc analysis
- self-serve reporting
Stakeholders & adoption
Influence.
- presented findings
- weekly business review
- partnered with PM
- finance alignment
- sales enablement
- action owners
- follow-up metrics
- decision log
- adoption tracking
- training
Experimentation language
Growth analysts.
- experiment design
- readout
- incrementality
- holdout
- guardrails
- segments
- power
- significance
- rollout decision
- post-launch monitoring
resume keyword scanner — check whether your resume includes these project keywords. Have a specific posting? Compare resume to job description.
Summary Keywords
Analyst summaries should signal trusted reporting, diagnostics, and influence on decisions.
Positioning & domains
Where you operate.
- data analyst
- senior data analyst
- marketing analytics
- product analytics
- finance analytics
- operations analytics
- growth
- B2C
- B2B
- marketplace
Tooling anchors
ATS matches.
- SQL
- Looker
- Tableau
- Power BI
- Snowflake
- BigQuery
- dbt
- Excel
- Python
- Amplitude
Workstyle keywords
How you add value.
- KPI ownership
- metric definitions
- executive reporting
- ad hoc analysis
- experimentation support
- forecasting support
- stakeholder training
- data quality
- insight storytelling
- prioritization
Outcome phrasing
Honest impact.
- informed decisions
- budget reallocation
- roadmap changes
- cost savings
- conversion improvement
- churn reduction
- operational efficiency
- risk mitigation
- forecast accuracy
- sla improvement
Weak analyst summaries
Avoid.
- data enthusiast
- love data
- analytical mindset
- good with numbers
- entry-level eager
resume keyword scanner — check whether your resume includes these summary keywords. Have a specific posting? Compare resume to job description.
How to use these keywords in your resume
- Place role-relevant keywords in your summary, skills, experience bullets, and projects.
- Use ~25-35 relevant keywords naturally across the full resume.
- Avoid keyword stuffing. Keywords should appear inside outcome-based bullet points, not as repeated lists.
How ATS uses keywords
- ATS compares your resume to the job description for keyword overlap and context.
- Keywords inside clear bullets usually carry more value than dumping terms in a long skills list.
- Strong match signals come from pairing keywords with scope and measurable impact language.
Common keyword mistakes
- Listing SQL, Tableau, or Looker without showing one outcome metric tied to each tool.
- Using vague bullets like 'created reports' without decision impact, speed, or revenue context.
- Stuffing ATS keywords in skills but omitting them from experience and project bullets.
- Ignoring role-level language (entry, mid, senior) required in the target posting.
Top missing keywords we repeatedly see in Data Analyst resumes
These role-standard terms show up often when resumes underperform screening for data analyst roles:
- SQL (missing or weakly supported in experience bullets)
- Looker (missing or weakly supported in experience bullets)
- Tableau (missing or weakly supported in experience bullets)
- Excel (missing or weakly supported in experience bullets)
Run the resume keyword scanner to see which of these your resume actually contains.
Keywords that look good but often fail in screening
- "data-driven" without a metric or business decision outcome.
- "created dashboards" without audience, cadence, or changed behavior.
- "expert SQL" without concrete query work (funnel, retention, attribution, or experimentation).
- "worked cross-functionally" without evidence of impact on revenue, conversion, or efficiency.
Data Analyst resume resources
Use all three role pages together, then run your draft against a real job description.
- Data Analyst resume example →
Full sample, ATS breakdown, recruiter review
Data Analyst resume keywords (this page)
ATS keyword lists & role-standard gap scan
Check your resume (free)
Have a posting? Also try the job description keyword finder.
Data Analyst ATS keyword checklist
Use this quick checklist before every application. Aim to cover each keyword in context at least once across summary, skills, and impact bullets.
Copy checklist
- SQL
- Excel
- Tableau
- Looker
- dbt
- A/B testing
- Cohort analysis
- Funnel analysis
- Data visualization
- Dashboarding
- KPI reporting
- Data quality
- ETL
- Stakeholder reporting
- Forecasting
- Retention analysis
- Attribution
- Segmentation
- BI dashboards
- Root cause analysis
Reference frameworks recruiters recognize:
Have a specific job posting?
Use the compare tool when you have the exact job description — not for role-standard keyword lists.
scan resume against job descriptionSee full ATS resume format → ATS resume template guide
Free · no signup · no job description needed
Does your resume actually have these data analyst keywords?
Reading the list is step one. Paste your resume below to see which of these terms you're missing, only mentioning once, or covering well — Data Analyst is already selected.
Paste your resume · select your role · see which keywords you're missing · no signup
Data Analyst Resume Keywords - FAQs
What are the best data analyst resume keywords for ATS?
+
Prioritize SQL, Excel, a BI tool (Tableau, Power BI, or Looker), Python or R when required, plus outcome terms: dashboards, cohort analysis, A/B testing, KPI reporting, and stakeholder communication. Match the job description literally where you have real experience.
How many keywords should a data analyst resume include?
+
Aim for 25–40 relevant terms across summary, skills, and bullets—not repeated lists. Every keyword should appear in context with a metric or decision outcome at least once in experience or projects.
What are data analyst resume keywords for ATS in 2026?
+
In 2026 postings we still see heavy SQL, dbt, cloud warehouses, experiment readouts, and metric ownership language. Use this page as a baseline, then paste the exact posting into ResumeAtlas to see missing terms.
How do I find which data analyst keywords my resume is missing?
+
Paste your resume into the free keyword scanner and select Data Analyst. You see which of these role-standard terms are missing, mentioned only once, or well covered — no job description needed. For gaps against a specific posting, use the job description matcher.
Does this checklist cover BA or systems titles too?
+
No — this page is data analyst only. Requirements, process, application-support, and integration roles use a different vocabulary; the dedicated hub at /business-analyst-resume-keywords covers those titles, including its own systems-focused sections.