Profession CV example

Data analyst CV example

A data analyst CV is strongest when technical work is connected to a decision, process or measurable outcome.

What the CV must prove

Describe the question, data sources, scale and quality issues, analysis method, delivery format and how stakeholders used the result. Separate production reporting from training projects.

Skills worth showing

Use only skills you can support with experience, projects, training or measurable results.

SQL and data extraction
Spreadsheet and statistical analysis
Dashboard and visualization tools
Data cleaning and validation
Experiment and KPI design
Business communication and requirements

Achievement examples

Adapt these patterns with your own truthful numbers, scope and outcome.

Automated a weekly report and reduced preparation time by X hours
Identified a driver associated with X% of customer churn
Built a dashboard used by X stakeholders across Y teams
Improved data quality by resolving X recurring validation failures

Professional summary example

Data analyst with 4 years of experience turning operational and customer data into dashboards, forecasts and decision support. Proficient in SQL, Python and Power BI, with a strong focus on data validation and clear stakeholder communication.

Final checks before sending

Tools are linked to concrete projects
Business outcomes accompany technical methods
Dataset scale is described responsibly
Portfolio data is anonymized
Charts remain outside the core ATS CV when unnecessary
Keywords match the target analytics role