Professional summary — Data Analyst
The first paragraph of a Data Analyst resume sets the ATS keyword density and the recruiter’s first impression. Treat it as the highest-leverage 60 words on the page.
Example summary
Data analyst with 5 years partnering with growth, product, and finance teams to turn ambiguous business questions into shipped decisions. Built the experimentation framework at a Series-B SaaS company (110+ A/B tests run, $4.2M annualized lift), owned the executive KPI dashboards in Looker, and wrote the SQL style guide adopted by the 14-person analytics org.
Skills snapshot — Data Analyst
Group skills by type and lead with the ones the JD weights most. Modern ATS systems deduplicate near-matches — list each skill once, with the exact spelling US recruiters use.
Core skills
Tools & platforms
Work experience — sample bullets
Lead each bullet with a verb in past tense. Pair the system or program with a numeric outcome — recruiters and ATS systems both score quantified bullets higher than responsibility lists.
Senior Data Analyst
Apr 2023 – Present
Outline Software · Brooklyn, NY
- Built and ran the experimentation program across activation, billing, and onboarding (110+ tests/year); identified a checkout copy variant that drove a 7.3% lift in trial-to-paid, worth $1.9M annualized.
- Owned the executive KPI dashboard in Looker covering ARR, NRR, and churn cohorts; reduced the CFO's monthly review prep from 6 hours to 25 minutes.
- Designed the funnel-attribution model in dbt + BigQuery now used as the source of truth for marketing spend reporting; closed a $400K/quarter discrepancy between paid-acquisition reports.
- Wrote the company's SQL style guide and onboarded 4 new analysts; cut new-analyst time-to-first-shipped-dashboard from 6 weeks to 11 days.
Data Analyst
Jul 2020 – Mar 2023
Northwind Retail · Columbus, OH
- Built the inventory-aging dashboard in Tableau used by 28 regional managers; reduced dead-stock writeoffs by $1.6M in the first 12 months.
- Migrated 47 legacy SQL Server reports to BigQuery + Looker; cut average refresh time from 9 minutes to 22 seconds and eliminated 3 monthly outages.
- Partnered with finance on the FP&A reforecast model; surfaced a margin-leak in the wholesale channel later closed by a 4-point price change.
Education, certifications & extras
Education
B.S. Statistics, Ohio State University
Certifications
Google Data Analytics Professional Certificate · dbt Fundamentals
Open-source / writing
Wrote the public dbt-snowflake-cost package (240+ stars) — surfaces high-cost dbt models in CI.
Resume keywords for Data Analyst JDs
The keyword cluster US Data Analyst JDs scan for in 2026. Match the JD’s exact spelling — near-matches are deduplicated, but verbatim overlap is rewarded.
Must-have keywords
Nice-to-have keywords
Resume tips for Data Analyst candidates
- 1
Lead each bullet with a business outcome before the analytics craft — "Closed a $400K reporting discrepancy" beats "Built dbt models."
- 2
Name your dashboards. "Owned the executive KPI dashboard" reads stronger than "built dashboards" and gives ATS more keyword surface area.
- 3
Quote both the dataset size and the stakeholder count — recruiters infer scope from both axes (a 200M-row table for 4 stakeholders ≠ a 1M-row table for the C-suite).
- 4
List dialect alongside SQL when relevant — "SQL (PostgreSQL, BigQuery, Snowflake)" — many ATS parsers score the dialect as a separate keyword.
- 5
Avoid "data-driven" in the summary or bullets — it has the lowest signal-to-noise ratio of any keyword on US analytics resumes.
- 6
If you're an analyst with SQL but no Python, say so plainly under Skills rather than implying both — modern recruiter-side tooling cross-checks claims against your bullets.
FAQ
Questions about Data Analyst resume examples
Do data analyst resumes need a portfolio link?
Yes — and one strong dashboard or notebook beats a portfolio of ten weak ones. Link a single artifact with a one-line description: dataset, question, result. US recruiters open the link in roughly half of cases, almost never browse a portfolio site.
How much SQL detail belongs on a data analyst resume?
Enough to prove fluency — window functions, CTEs, query optimization, and dialect names (BigQuery, Snowflake, Postgres) are all positive ATS signals. Skip vendor-specific minutiae and listing every join type; recruiters discount it.
Should I list Excel on a data analyst resume in 2026?
Yes — Excel is still in 71% of US analyst JDs we sampled. Name the high-signal features (PivotTables, INDEX/MATCH, Power Query) rather than listing "Excel" alone. "Advanced Excel" without specifics is treated as a soft claim.
Do I need to know Python to be a data analyst in the US?
Increasingly, yes — 64% of US analyst JDs in 2026 list Python (vs. 38% three years ago). pandas, NumPy, and Jupyter are the most-requested combinations. R is acceptable as a substitute on quant-heavy and academic-adjacent roles.
What's the right way to show experimentation experience?
Quantify three axes: tests run (volume), tests shipped to production (decisiveness), and dollar or percentage lift (impact). "Ran 110+ A/B tests; shipped 38; net annualized lift $4.2M" is the structure recruiters look for.
Keep going
Build the rest of your Data Analyst resume
Resume skills for Data Analyst
The hard skills, soft skills, and ATS keywords US Data Analyst job descriptions weight most.
Resume summary for Data Analyst
Data Analyst resume summary examples for every career stage — entry, mid, and senior.
ATS-friendly resume guide for Data Analyst
The keywords, the pitfalls, and the bullet structure that pass ATS filters for Data Analyst roles.
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