// resume guide
Data Analyst Resume — Keywords, ATS Optimization & Bullet Examples
A resume for a Data Analyst role gets scanned by an ATS before a human ever reads it. Here's what to include, what trips people up, and how to phrase your project and experience bullets so both the parser and the recruiter reading it understand your impact.
Crafting the perfect Data Analyst resume requires the right balance of technical keywords and measurable achievements. Many recruiters use Applicant Tracking Systems (ATS) to filter candidates, which means your resume needs to be optimized for both algorithms and human hiring managers. Use the bullet point templates and keywords below to build a highly effective, ATS-friendly resume for your next application.
Keywords ATS systems scan for
These show up often in Data Analyst job descriptions and ATS keyword-match rules. Only include ones that are actually true of your experience — an ATS score means nothing if the interview exposes the gap.
- SQL
- Excel
- data visualization
- Power BI/Tableau
- statistics
- A/B testing
- stakeholder communication
- Python/R
Common mistakes on Data Analyst resumes
- Listing dashboards built without saying what decision or metric they changed
- Overusing "analyzed data" without the specific question being answered
- Leaving out the size of the dataset or the business context
- Not distinguishing between building a report and acting on its findings
Bullet-point templates
Fill in the brackets with your own project details and real numbers — a template with fake metrics is worse than a plain sentence, since it falls apart the moment someone asks about it.
- Analyzed [dataset/size] using SQL and [tool] to identify [finding], influencing [decision]
- Built a [Power BI/Tableau] dashboard tracking [metric], used by [team/stakeholders]
- Ran an A/B test on [feature] that improved [metric] by [X%]
- Automated a recurring [report type] with [tool], saving [X hours/week] of manual work
Live Data Analyst openings
Senior Data Analyst
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Mercury
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Mercury
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Nexgencloud
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Watershed
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All Data Analyst jobsData Analyst internshipsData Analyst career guide
What recruiters check on a data analyst resume
Analysts are hired to answer questions, so show the question, the data, what you did and the decision it supported. A bullet such as "Analysed churn across three cohorts and recommended a change to onboarding" says more than a tool list.
Put SQL and your visualisation tool near the top. Include a link to a dashboard or notebook, and make sure it opens, since this is where many recruiters decide.
Questions people ask
A project that starts with a real question, uses a public dataset, and ends with a clear chart and a recommendation.
Yes, if you can do more than basic sums, for example pivot tables and lookups. Be specific.
Describe the outcome of your analysis in plain terms, not just the method.