Amazon Economics Apprenticeship Program

About the Amazon Economics Apprenticeship Program

This is a Department of Labor Registered Apprenticeship Program. The Amazon Economics organization is seeking highly skilled and motivated individuals to join our 2-year Pre-Doctoral Program. As an Apprentice, you will have the unique opportunity to work alongside full-time Amazon Economists and academic mentors, gaining hands-on experience in advanced economic research.

Key Responsibilities

• Collaborate with cross-functional teams to tackle real-world business challenges using advanced economic methodologies and large, complex data sets.
• Develop proficiency in economic analysis, data management, and statistical programming (Python, R, Stata).
• Acquire research skills and experiences to strengthen your PhD program applications.

Program Benefits

• Mentorship from seasoned Amazon Economists and university professors.
• Guidance on PhD program prerequisites and admissions coaching.
• Exposure to a fast-paced business research lifecycle, from data collection to decision impact.

We are committed to cultivating a diverse and inclusive research community. Individuals from underrepresented backgrounds are strongly encouraged to apply.

To apply, please submit a single PDF bundle including: your CV/resume, academic transcripts, and a research writing sample with a personal statement outlining your research interests and career goals.

The Apprenticeship Program is based in Seattle, WA.

Apprenti will act as the Apprenticeship Intermediary, managing the apprentice employment process, providing pay and benefits to apprentices, maintaining documentation and fulfilling statutory reporting requirements for all apprentices registered in the Apprenti program. Amazon is responsible for providing meaningful work opportunity and providing day-to-day apprentice supervision, from instructor led training to development in on the job learning.

Basic Qualifications

• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.
• Experience with data visualization using Tableau, Quicksight, or similar tools.
• Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared).
• Experience with scripting language (e.g., Python, Java, or R).

Preferred Qualifications

• Master's degree, or Advanced technical degree.
• Knowledge of data modeling and data pipeline design.
• Experience with statistical analysis, correlation analysis.

Key skills/competency

• Economic Analysis
• Data Management
• Statistical Programming
• Python
• R
• Stata
• Data Visualization
• Redshift
• SQL
• Research Methodology