Questions and decisions
Lead each bullet with the question you answered and the decision it informed, not just the tool.
RESUME EXAMPLE · DATA ANALYST
Data analyst resume example
A structure you can follow for a data analyst resume, with placeholders for your own details, plus the skills and tools mentioned most often in the 84 open data analyst listings on ROLIVA right now.
What employers ask for right now
SQL appears in 68 of 84 open data analyst listings on ROLIVA (as of ).
- SQL68 of 84 listings
- Python49 of 84 listings
- Tableau37 of 84 listings
- Snowflake22 of 84 listings
- Excel19 of 84 listings
- Looker17 of 84 listings
- Machine learning17 of 84 listings
- dbt13 of 84 listings
- Spark13 of 84 listings
- Agile12 of 84 listings
- AWS12 of 84 listings
- A/B testing9 of 84 listings
How this is counted: each open listing’s description and stated skills are checked, on whole words, against the same fixed skills vocabulary ROLIVA uses on its job pages and its monthly skills reports. A listing counts once per term. A mention is not a requirement, and the counts change as employers open and close roles.
Example structure
One column, standard headings and real text: easy for a recruiter to scan and for an application system to read. Fill each bracket from your own record, and delete any section you have nothing true to put in.
[Your name]
[City, Country] · [email address] · [phone number] · [LinkedIn or portfolio URL]
Summary
Data analyst with [number] years of experience answering [type of business question] for [team or domain] using [main tools].
Experience
[Job title] · [Employer] · [City] · [Month Year] – [Month Year or Present]
- Wrote [SQL or another language] queries on [data source] to answer [question] for [team]; [decision it informed].
- Built a [dashboard or report] in [BI tool] used by [audience] to track [metric].
- Cleaned and joined [data sets] to [purpose], documenting [checks you ran on data quality].
[Earlier job title] · [Employer] · [City] · [Month Year] – [Month Year]
- [Two or three bullets in the same pattern: your action, its scope and a result you can support]
Projects
- [Project name]: [question], [data used], [method], [what you found] ([link if public])
Skills
[Skill or tool] · [Skill or tool] · [Skill or tool] · [Skill or tool]
Education
[Degree or qualification] · [Institution] · [Year]
What to stress in a data analyst resume
Tools you have used
Name the query, spreadsheet and BI tools you have actually used on the job.
Projects
A short projects section helps when your job titles do not show the analysis work.
Skills section
SQL, spreadsheets, the BI tools you have used, statistics you can explain, and any scripting language you actually use.
Write evidence-based bullets
- Start with what you did. Open each bullet with a verb that names your own action: built, wrote, led, analysed, ran. Avoid “responsible for”.
- Add scope. Say for whom, how much or how often: the team, users, region or volume. Scope makes a duty into evidence.
- Show a result only if you can support it. A number is useful only when you could explain how it was measured. If you cannot, describe the outcome in words instead.
- Use the employer’s words where they are true. If a term in “What employers ask for right now” matches work you have done, use that wording in your skills and bullets. If it does not match your experience, leave it out.
Patterns for data analyst bullets
- Wrote [SQL or another language] queries on [data source] to answer [question] for [team]; [decision it informed].
- Built a [dashboard or report] in [BI tool] used by [audience] to track [metric].
- Cleaned and joined [data sets] to [purpose], documenting [checks you ran on data quality].
Next steps
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