Data Analyst Resume Example
Data analyst resumes should show you turn data into decisions. This example highlights SQL expertise, dashboard creation, and business recommendations — proving you do not just pull numbers, but drive action from insights.
# Jamie Lee **Data Analyst** | Seattle, WA | jamie.lee@email.com | (555) 234-5678 [linkedin.com/in/jamielee](https://linkedin.com/in/jamielee) ## Summary Data analyst with 3 years of experience turning complex datasets into actionable business insights. Expert in SQL, Python, and Tableau. Known for building self-serve dashboards and automating reporting workflows that save teams dozens of hours monthly. ## Experience ### Data Analyst **Amazon** | Seattle, WA | Jan 2023 - Present - Built executive dashboard tracking 25+ KPIs for $200M product line, used in weekly leadership reviews - Identified $500K annual cost savings through supply chain optimization analysis - Automated 8 recurring reports using Python and Airflow, saving team 15 hours per week - Developed customer segmentation model used by marketing team to personalize campaigns for 2M+ users - Created data quality monitoring alerts reducing reporting errors by 90% ### Junior Data Analyst **Tableau** | Seattle, WA | Jun 2021 - Dec 2022 - Analyzed product usage data for 50K+ enterprise accounts, identifying features driving retention - Built 12 Tableau dashboards adopted across sales, marketing, and customer success teams - Conducted A/B test analysis for 10+ experiments, providing statistical recommendations to product team - Wrote SQL queries processing 500M+ row datasets for weekly business reviews ## Skills **Languages:** SQL (advanced), Python (pandas, NumPy, matplotlib), R **BI Tools:** Tableau, Looker, Power BI, Google Data Studio **Databases:** PostgreSQL, BigQuery, Snowflake, Redshift **Other:** Excel (advanced), A/B Testing, Statistical Analysis, ETL, Airflow, dbt ## Education ### B.S. Statistics **University of Washington** | 2017 - 2021 - Minor in Computer Science
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Tips for Your Data Analyst Resume
- 1.Show business impact: "Identified $500K savings opportunity through churn analysis" not just "Analyzed churn data"
- 2.Mention SQL prominently — it is the single most-screened skill for analyst roles
- 3.Include visualization tools: Tableau, Looker, Power BI, or similar
- 4.Highlight automation: "Automated weekly reporting, saving 10 hours per week" shows initiative
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