Data analyst CV profile examples
The profile at the top of a data analyst CV should tell the reader who you are, what you do well, and what you are looking for, in two to four sentences. The example CV uses the first version below; these alternatives show how the same role reads at different stages.
Data analyst CV bullet points
Start each point with an action and finish with a result or useful detail. Use these as a model rather than copying them: swap in your own numbers, settings, and tools so every line is true for you.
- Built a Power BI sales dashboard used weekly by 40 store managers, replacing six separate spreadsheets.
- Automated a monthly stock report in Python, saving the finance team two days of manual work each month.
- Wrote SQL queries to analyse a loyalty scheme trial, leading to changes adopted in the national roll-out.
- Designed and analysed A/B tests on email campaigns, reporting results with clear confidence ranges.
- Reconciled claims data from three legacy systems, fixing errors that had inflated monthly totals.
- Created shared data definitions so finance and operations reported the same figures.
- Presented quarterly findings to directors in plain language, with one recommendation per slide.
- Trained eight colleagues to use self-service dashboards instead of requesting ad hoc reports.
Use the free resume bullet point builder to structure a line from your own facts.
Skills for a data analyst CV
Choose the skills that match the job advert and that you can back up with an example from your experience.
Technical skills
- SQL
- Python (pandas)
- Power BI or Tableau
- Advanced Excel
- Data cleaning and modelling
- A/B testing and statistics
- Cloud data warehouses such as BigQuery
Working skills
- Explaining data to non-technical audiences
- Attention to detail
- Prioritising stakeholder requests
- Curiosity
- Documentation
Tips for writing a data analyst CV
Lead with the decision, not the dashboard
A dashboard is only interesting because of what people did with it. Say who used your analysis and what changed: time saved, a decision made, or an error found.
Name your tools precisely
Recruiters often search for specific tools such as SQL, Power BI, Tableau, or Python. List the ones you use confidently, and mention the libraries or platforms where they matter.
Show that you care about data quality
Cleaning, reconciling, and documenting data is a large part of the job. One bullet about catching errors or defining metrics shows you can be trusted with the numbers.
Link to a portfolio if you have one
A short write-up of one analysis, with the question, the method, and the result, can say more than a list of skills. Keep company data confidential.
The template in this example
This example uses the Horizon template (soft header, crisp dividing lines). Its modern styling suits most office, technology, and client-facing roles, where a clear hierarchy matters more than ornament. You can switch to any of the 40 templates in the editor without retyping, and change the colour, font, and spacing.
