Data Scientist
Dates in the margin, skill columns and projects up front.
Best for: Data science, Analytics, Research
ATS goodUse this template
Data Analyst Resume Example and Writing Guide
A data analyst resume has to prove two things: that you can work with data tools, and that your analysis changed a decision. The second one is what gets interviews.
Paste a data analyst job posting and get a tailored resume in about 30 seconds.
Tailor my resume freeResume summary example
Replace everything in [brackets] with your own details. Keep it to three or four lines and make every claim one you can back up.
Data analyst with [X] years of experience turning [type of data] into decisions for [teams/industry]. Skilled in [SQL, Python, Excel, a BI tool]. Recently [one result, e.g. built a dashboard that changed how X is tracked].
Skills to put on a data analyst resume
Hard skills
- ✓SQL
- ✓Excel and spreadsheets
- ✓Python or R
- ✓Power BI, Tableau or Looker
- ✓Data cleaning and modelling
- ✓A/B testing and statistics
- ✓Dashboards and reporting
- ✓ETL basics
Soft skills
- ✓Explaining findings to non-technical teams
- ✓Curiosity and problem framing
- ✓Attention to detail
- ✓Prioritising requests
Only list skills you genuinely have, and put the ones the job posting asks for first.
Keywords recruiters and ATS look for
Use the exact wording from the job description where it is true for you. These terms come up often in this field:
SQLdata visualisationdashboardsKPIsstatistical analysisstakeholder reportingdata cleaningforecasting
Bullet point formulas
Start with a strong verb, say what you did, and finish with the result. Fill in your real numbers. If you do not have a number, describe what changed instead.
- Built a [tool] dashboard tracking [metrics] for [team], replacing [number] hours of manual reporting each [week/month].
- Analysed [dataset] to identify [finding], leading to [decision] and [measurable outcome].
- Cleaned and combined [number] data sources with SQL and Python, improving report accuracy.
- Presented monthly insights to [audience], shaping [plan or priority].
Tips
- →Name the tools you used for each result.
- →Say what changed because of your analysis.
- →Show a link to a portfolio or public dashboard if you have one.
- →Keep skills grouped: query, analysis, visualisation.
Mistakes to avoid
- ✕Listing tools without showing what you did with them
- ✕Not mentioning the business question behind the analysis
- ✕Vague claims such as “data-driven”
- ✕Missing numbers about the scale of the data
Best CV templates for a data analyst
ATS Modern
A fresher look with accent headings, still one clean column.
Best for: Tech, Marketing, Operations
ATS excellentUse this template
Consultant
Crisp accent headings with a pipe-separated skills line.
Best for: Consulting, Strategy, Project management
ATS excellentUse this template
Frequently asked questions
What skills should a data analyst put on a resume?
SQL, a spreadsheet tool, a visualisation tool, and either Python or R, plus statistics and communication. Match the order to the job posting.
How do I show impact without exact numbers?
Describe the decision or process that changed, such as “replaced a weekly manual report” or “changed how the team prioritised leads”. Only use numbers you can support.