Skills for Data Analyst Resume
Data analysts need to show they can query data, build reports, and turn insights into action. This guide outlines technical and soft skills to list, plus bullet examples that demonstrate impact for analyst roles.
Data & SQL
- SQL
- Data modelling
- ETL
- Data quality
- Warehouses (BigQuery, Snowflake, Redshift)
Visualization & reporting
- Tableau
- Power BI
- Looker
- Dashboards
- Reporting
Analysis
- Statistics
- A/B testing
- Trend analysis
- Python/R
- Excel
Collaboration
- Stakeholder communication
- Requirements
- Documentation
- Presentation
Resume bullet examples
- Built and maintained 10+ dashboards for sales and marketing; reduced manual report requests by 40% and enabled self-serve analytics.
- Analysed conversion funnel with SQL and Python; identified drop-off points and recommended tests that increased sign-up completion by 18%.
- Standardised definitions and documentation for core metrics; aligned 5 teams on single source of truth and reduced reporting errors.
Emphasise the impact of your work: reports adopted, decisions influenced, and metrics improved. List tools and languages clearly so ATS and hiring managers can see technical fit.
Tailoring your resume to the industry (e.g. product, marketing, finance, healthcare) will strengthen your application. WadeCV can help you align your analyst experience with data analyst job descriptions and surface your best outcomes.