Analytics · Resume example
Data Analyst resume guide
Prove you turn data into decisions. Showcase tools, stakeholder partners, and decisions influenced: not only dashboards built.
Build this resume freeWhat to emphasize
- Lead with domain (growth, finance, ops) and decision types supported.
- Bullets: question answered, method, insight, action taken.
- Skills: SQL first, then viz and statistical methods.
- Projects can include public datasets if early career.
Skills to feature
SQL · Python · Tableau · Looker · Excel · Statistics
Only list skills you can discuss. Use Lynt’s tailoring tool to mirror honest language from each job description, then verify structure with the ATS checker.
Common mistakes
- Tool laundry lists with no decision outcomes.
- Hiding SQL depth for pure “dashboard builder” framing.
- Charts without business context.
Example data analyst resume bullet points
Each of these follows the same shape: what you did, how you did it, and what changed as a result. Swap the specifics for your own; keep the structure.
- Replaced 14 hand-maintained spreadsheets with a modelled warehouse layer, cutting the monthly close reporting cycle from six days to one.
- Built the self-serve dashboard now used weekly by sales, finance and ops, reducing ad-hoc data requests to the team by roughly 60%.
- Found a tracking defect that had understated mobile conversion for five months, correcting the baseline the team was planning against.
- Automated a recurring compliance report in SQL and scheduled delivery, removing a standing four-hour manual task.
- Ran the analysis behind the pricing-tier change, sizing the revenue impact and the segments most at risk of churn.
ATS keywords for data analyst resumes
Parsers match plain strings, so spell acronyms out at least once. Only include a term if your experience backs it up.
- data analyst
- SQL
- Excel
- Tableau
- Power BI
- data visualization
- dashboard development
- ETL
- data modelling
- stakeholder reporting
- Python
- KPI reporting
Action verbs that fit
Analysed · Modelled · Automated · Visualised · Investigated · Reconciled · Reported · Segmented · Validated · Streamlined
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FAQ
SQL or Python first on the resume?
Lead with whatever the posting emphasizes; most analyst roles still prioritize SQL fluency.
How technical should the summary be?
One business outcome line, one methods line. Save depth for bullets.
Should I include GitHub notebooks?
Yes for junior roles; link 1-2 clean analyses, not messy dumps.
How do I show stakeholder skills?
Name partners (marketing, ops) and decisions influenced (budget, experiment ship, process change).
ATS keywords for analysts?
SQL, dashboard, KPI, A/B test, ETL, cohort, pipeline: only if true to your work.