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Job Details
Posted date: Dec 04, 2025
There have been 2 jobs posted with the title of Amazon Economics Apprenticeship Program - 2-Year Research Positions all time at Amazon.Location: Nashville, TN
Estimated salary: $119,850
Range: $74,100 - $165,600
Description
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 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.
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)
Extended Qualifications
- Master's degree, or Advanced technical degree- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $74,100/year in our lowest geographic market up to $165,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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