Data Analyst Resume Example — Amazon
Entry-level Data Analyst resume that landed a role at Amazon. ATS score 90/100. Includes SQL query optimization, dashboard metrics, and business impact data.
ATS Score: 90/100
This resume passes most Applicant Tracking Systems
Detail-oriented Data Analyst with hands-on experience in SQL, Python, and Tableau building dashboards and analyses that drive business decisions. Identified $2.1M in cost-saving opportunities during a 6-month analytics internship at Nielsen. Proficient in AWS Redshift, statistical analysis, and A/B test design. Passionate about translating complex data into clear, actionable insights for non-technical stakeholders.
This resume uses the Classy template — available free in ResumeLens
What Makes This Resume Work
Hover each callout to understand the strategy behind each section.
Technical Stack and Business Impact in Opening
Opens with SQL, Python, and Tableau and references '$2.1M cost savings identified' — even at entry level, Amazon looks for data analysts who connect analysis to business outcomes, not just technical ability.
Query Performance and Data Scale Metrics
Cites 60% query runtime reduction and processing 500M+ row datasets. Amazon's data infrastructure is massive — demonstrating comfort with scale and optimization signals readiness for Amazon's environment.
Amazon Tech Stack Alignment
Lists AWS Redshift, S3, QuickSight alongside SQL and Python. Amazon's analytics stack is AWS-native — listing AWS services by name significantly improves ATS match rate for internal analytics roles.
Academic and Personal Projects Fill Experience Gap
Entry-level resumes use capstone and personal projects to demonstrate skills. Linking to a GitHub repository with real code gives Amazon's technical recruiters concrete evidence of ability.
Top ATS Keywords Used
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Open in Resume Builder →✓Why This Data Analyst Resume Works
- Leads with SQL, Python, and a dollar-value business impact even at entry level — meeting Amazon's data-driven culture bar
- AWS Redshift and S3 service names match Amazon's internal analytics infrastructure for ATS scoring
- Internship experience at a recognizable company (Nielsen) bridges the gap between school and full-time work
- GitHub project link with model accuracy and dataset scale gives technical proof without prior full-time experience
- Dean's List and relevant coursework signal academic rigor when full-time experience is limited
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Contact
James Thornton
Data Analyst
james.thornton@email.com
+1 (312) 555-0163
Chicago, IL
linkedin.com/in/jamesthornton-data
github.com/jamesthornton-data
Professional Summary
Detail-oriented Data Analyst with hands-on experience in SQL, Python, and Tableau building dashboards and analyses that drive business decisions. Identified $2.1M in cost-saving opportunities during a 6-month analytics internship at Nielsen. Proficient in AWS Redshift, statistical analysis, and A/B test design. Passionate about translating complex data into clear, actionable insights for non-technical stakeholders.
Work Experience
Data Analytics Intern
Nielsen · Chicago, IL
- •Built and automated 12 weekly business performance dashboards in Tableau consumed by 3 VP-level stakeholders; reduced manual reporting time from 8 hours/week to 45 minutes
- •Wrote and optimized 40+ SQL queries against a 500M+ row Redshift database, reducing average query runtime by 60% through index tuning and query restructuring
- •Conducted an ad spend efficiency analysis across 8 media channels for a Fortune 500 CPG client, identifying $2.1M in reallocation opportunities that were implemented in Q4 budget planning
- •Designed and analyzed 3 A/B tests measuring the impact of UI changes on user engagement metrics (CTR, session length, conversion) using Python (scipy, pandas) with statistically significant results at 95% confidence
Research Data Assistant
University of Illinois — Economics Department · Chicago, IL
- •Cleaned and merged 8 public datasets (BLS, Census, FRED) totaling 12M records in Python (pandas, NumPy) for a faculty research project on regional labor market dynamics published in the Journal of Urban Economics
- •Built regression models in R and Python to analyze wage elasticity across 50 metropolitan statistical areas; model achieved R² of 0.87 on held-out test data
- •Reduced dataset preparation time by 70% by writing reusable data pipeline scripts that automated ingestion, cleaning, and validation steps previously done manually in Excel
Skills
Education
B.S. Economics with Statistics Minor
University of Illinois at Chicago
May 2024 · GPA 3.82
Certifications
AWS Certified Cloud Practitioner
Amazon Web Services · Feb 2024
Google Data Analytics Professional Certificate
Google · Aug 2023
Projects
Chicago Housing Price Predictor
Python, XGBoost, Pandas, Tableau, AWS S3
End-to-end ML project predicting Chicago residential sale prices using 180K+ Cook County property records. XGBoost model achieved RMSE of $28,400 (12.4% MAPE). Includes automated data pipeline, EDA notebook, and interactive Tableau dashboard.
github.com/jamesthornton-data/chicago-housing
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