Data Analyst resume example: what to show and how to write it
A data analyst turns raw data into answers a business can act on. The hiring reader wants proof that your analysis changed a decision, not just that you can write a query.
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What a data analyst resume has to show
- The question you answered and the decision it informed
- The tools you used for each task: SQL dialect, spreadsheet, BI platform, scripting language
- The size and messiness of the data you handled
- Who consumed your work, such as an executive team, a product group or a regional manager
Data Analyst resume summary example
Illustrative example. Replace every bracketed item with your own facts.
Analyst with [X] years in retail and e-commerce reporting, strongest in SQL and dashboard design. Built the weekly trading view used by [X] regional managers and replaced [X] manual spreadsheet reports. Comfortable taking a vague question from a stakeholder to a clear recommendation.
Experience bullets that carry results
Illustrative example. [X] marks a number only you can supply; do not publish a figure you cannot support.
- Analysed [X] months of order data to find that [X]% of returns came from one supplier, prompting a review that cut return rates by [X]%.
- Built a dashboard in [BI tool] replacing [X] hours of weekly manual reporting for a team of [X].
- Wrote SQL to join [X] source systems into a single customer table, resolving a mismatch that had inflated reported revenue by [X]%.
- Presented findings to a leadership group of [X], leading to a change in how promotions were scheduled.
Skills for a data analyst resume
Hard skills
- SQL
- Spreadsheet modelling
- A BI tool such as Tableau, Power BI or Looker
- Python or R for analysis
- Data cleaning and validation
Soft skills
- Translating a business question into an analysis
- Presenting to non-technical readers
- Skepticism about data quality
- Prioritising requests
Show soft skills through a bullet that proves them rather than as a list of adjectives.
Common data analyst resume mistakes
- Naming tools with no result ("used Tableau") instead of the decision the dashboard supported
- Reporting accuracy or time saved with no baseline
- Skipping the business context, so the reader cannot tell whether the data was large or small
- Listing "data analysis" as a skill rather than showing a specific analysis
ATS and keyword guidance
Job posts for analysts are tool-heavy, so mirror the exact names ("Power BI", "Snowflake", "A/B testing") where they are true and place them in bullets as well as the skills list. The analyzer's job match will show which tools and skills in a posting your resume does not mention.
To see which of a posting's skills your resume is missing, run it through the ATS resume checker.
A template family to start from
Banner + Sidebar (banner spans, rail starts beneath). A sidebar can hold the tool list and certifications while the main column carries analysis stories.