Professional Summary
Detail-oriented data analyst with 4 years of experience transforming complex datasets into actionable business insights. Proficient in SQL, Python, and Tableau. Known for building self-serve dashboards that reduced ad-hoc reporting requests by 60%.
Experience Bullets
- 1Built executive dashboard in Tableau tracking 15 KPIs across 4 business units, adopted by 50+ stakeholders
- 2Identified $1.8M annual cost reduction opportunity through supply chain data analysis
- 3Automated weekly reporting pipeline in Python, saving the team 20 hours/month of manual work
- 4Designed A/B testing framework for marketing team, enabling data-driven campaign optimization
Top Skills to Include
This example follows best practices from Harvard, Yale, Princeton, Stanford, and MIT career centers — including the ACE & SAR frameworks, strong action verbs, quantified achievements, and ATS-friendly formatting.
Tips for Data Analyst Resumes
- 1List specific tools and languages: SQL, Python, Tableau, Power BI, Excel
- 2Show business impact, not just technical tasks — "Identified $2M savings opportunity" not "Ran SQL queries"
- 3Include your data storytelling ability — dashboards built, presentations delivered to leadership
- 4Mention dataset scale: "Analyzed 10M+ row datasets" shows you handle real-world complexity
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