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Description

Amazon’s expanding Logistics products and services—including Amazon Logistics, Grocery Fulfillment, and Last Mile Technology—are creating new customer segments such as drivers, recipients, shippers, property managers and global sellers. Shipping & Delivery Support (SDS) is a customer service organization dedicated to supporting these segments through scalable, intelligent, and data-driven solutions.

The SDS organization is seeking a skilled and driven Business Intelligence Engineer (BIE) to join our Analytics team. Data analysis and automation are at the core of Amazon’s culture, and your work will directly influence decisions and strategy. In this role, you will deliver insights, build AI-powered solutions and self-service tools, and develop data products that support strategic decision-making, accelerate innovation, and enhance Amazon’s customer support experience. You will have access to rich datasets across Amazon and will work with advanced analytics and machine learning platforms to drive operational improvements and customer-centric innovation.

We are seeking a candidate with a strong technical foundation in data analytics, experience with AI tools and frameworks, sharp business acumen, and a high sense of ownership. The ideal candidate will be able to communicate complex concepts clearly in non-technical terms, navigate ambiguity, and thrive in a fast-paced environment. This role requires strong collaboration skills to partner with cross-functional teams in designing scalable solutions that deliver measurable value for Amazon’s global customers.

Key job responsibilities

- Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to help determine key business conclusions.

- Leverage Artificial Intelligence tools and platforms to transform how Business Intelligence solutions are built, driving automation, scalability, and innovation in reporting, insights generation, and decision-making processes.

- Recognize and adopt best practices in reporting, analysis, and research (data integrity, test design, analysis, validation, and documentation).

- Design and conduct experiments on the effectiveness and efficiency of different initiatives to improve key output metrics and help shape the long-term strategy.

- Be able to effectively communicate findings and build reporting for an audience with limited technical background.

A day in the life

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

1. Medical, Dental, and Vision Coverage

2. Maternity and Parental Leave Options

3. Paid Time Off (PTO)

4. 401(k) Plan

Basic Qualifications

- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

- 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)

- Bachelor's degree

Preferred 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.