How to Write a Data Analyst Resume
A strong data analyst resume showcases your technical skills, business impact, and ability to turn data into actionable insights.
1. Technical Skills Stack
- Languages: SQL (essential), Python, R
- BI Tools: Tableau, Power BI, Looker
- Databases: PostgreSQL, BigQuery, Snowflake
- Analysis: Statistical analysis, A/B testing, regression
2. Show Business Impact
- ❌ "Created dashboards and reports"
- ✅ "Built executive dashboard tracking $50M revenue pipeline, used by 30+ stakeholders daily"
- ✅ "Identified customer churn patterns saving $800K annually through targeted retention"
- ✅ "Automated 40 hours/month of manual reporting through Python ETL pipelines"
3. What Hiring Managers Want
- SQL proficiency - You'll be querying data constantly
- Storytelling - Can you explain insights to non-technical stakeholders?
- Business acumen - Do you understand what matters?
- Curiosity - Do you dig deeper to find insights?
Common Mistakes to Avoid
- Listing tools without showing how you used them
- Not connecting analysis to business outcomes
- Forgetting to mention collaboration with stakeholders