Data Analyst Resume Example & Guide (2026)
Turns raw business data into decisions through SQL, dashboards and analysis.
Data analyst resumes that get interviews lead with business impact, not tools. 'Built Tableau dashboard' loses to 'Identified £1.4M in lapsed-renewal revenue via cohort analysis, drove rebooking program live in 6 weeks.' Tools belong in a skills strip — outcomes belong in bullets.
Data Analyst professional summary example
Marketing analyst with 4 years partnering with growth and CRM teams. Built the company's first cohort-based LTV model; informed a £4.8M shift in paid acquisition budget that lifted blended ROAS 31%.
Strong resume bullets for a Data Analyst
- Built cohort LTV model in dbt + Looker — re-platformed paid-budget allocation, lifted blended ROAS from 1.9 to 2.5 (+31%).
- Owned weekly executive KPI pack (12 dashboards) — reduced ad-hoc 'can you pull…' requests 64% in one quarter.
- Designed A/B test framework for CRM team — 22 tests shipped in 6 months, 9 with statistically significant lifts.
- Wrote 40+ SQL models in dbt with full doc coverage — adopted as the canonical revenue layer by 5 teams.
- Trained 3 marketing managers on self-serve Looker — analyst request queue dropped 38%.
What employers expect from a Data Analyst
- SQL queries and data extraction (96% of job ads)
- Dashboard building (Tableau / Looker / Power BI) (88% of job ads)
- Stakeholder analysis requests (81% of job ads)
- Experiment / A/B test reporting (64% of job ads)
- Data modelling (dbt, semantic layer) (52% of job ads)
- KPI definition with business teams (71% of job ads)
Hard & soft skills recruiters look for
Hard skills
- SQL
- Python (pandas)
- R
- Tableau
- Looker
- Power BI
- dbt
- BigQuery
- Snowflake
- Excel modeling
- GA4
- Segment
Soft skills
- Storytelling with data
- Stakeholder framing
- Question reformulation
- Concise writing
ATS keywords for Data Analyst roles
Include these terms verbatim (where honestly true) so applicant tracking systems match your resume to Data Analyst job descriptions.
- data analyst
- SQL
- Tableau
- Looker
- Power BI
- Python
- dbt
- BigQuery
- Snowflake
- A/B testing
- GA4
Data Analyst salary snapshot
By experience level
| Level | US | UK | EU |
|---|---|---|---|
| Junior (0-2 years) | US $72,000–$95,000 | UK £35,000–£48,000 | EU €42,000–€58,000 |
| Mid (3-5 years) | US $95,000–$130,000 | UK £50,000–£70,000 | EU €58,000–€82,000 |
| Senior (6+ years / Lead) | US $125,000–$175,000 | UK £70,000–£105,000 | EU €82,000–€115,000 |
By city
| City | Median range |
|---|---|
| San Francisco, US | USD 125,000–170,000 |
| New York, US | USD 105,000–145,000 |
| London, UK | GBP 58,000–85,000 |
| Berlin, EU | EUR 62,000–88,000 |
| Madrid, EU | EUR 42,000–62,000 |
| Toronto, CA | CAD 82,000–118,000 |
Source: levels.fyi, BLS OEWS, payscale.com.
Common Data Analyst resume mistakes
- Tool-listing instead of impact ('used SQL, Python, Tableau' on every bullet).
- No $ or % — analyst work IS measurable. Show it.
- Hiding domain (marketing, finance, ops) — recruiters filter by domain.
- Skipping the experimentation / statistics callout when you have one.
- Forgetting cloud warehouse (Snowflake / BigQuery / Redshift) — explicit ATS keywords.
Job outlook
BLS projects 23% growth for data analyst occupations through 2032. Strongest in healthcare, fintech, marketing and operations.
FAQ
Do I need a master's degree?
No. Most data analyst roles accept any quantitative bachelor's, bootcamp + portfolio, or strong on-the-job evidence.
Portfolio — is it required?
Strongly recommended for 0-3 years. 2-3 case studies on GitHub or Notion with the question, query, dashboard and takeaway.
Tableau vs Power BI vs Looker — which to learn?
Pick the one your target companies use. Looker dominates tech, Power BI dominates enterprise, Tableau is everywhere.
How do I move from analyst to data scientist?
Add 2 projects with experimentation + a model in production. Move language emphasis from SQL → Python. Update title to 'Analyst, ML-adjacent' if your work justifies it.
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