At Amazon Worldwide Returns & ReCommerce (WWRR), we're driven by our aspiration to achieve zero cost of returns, zero waste, and zero defects. Our agile, innovative organization is dedicated to 'making zero happen' for the benefit of our customers, company, and environment. We manage the lifecycle of returned and damaged products through our integrated business, product, program, operational, data, and software engineering teams.

Role Overview:
We are seeking a Business Intelligence Engineering Manager to lead our Returns and ReCommerce BI team. In this role, you will guide a seasoned group of Business Intelligence Engineers (BIEs) and cross-functional engineers in developing large-scale, accurate, and scalable BI solutions. Your work will ensure that data-driven insights support key business decisions across the organization.


Key job responsibilities
Key Responsibilities:

1. Lead and mentor a team of BIEs and cross-functional engineers
2. Develop and implement corporate reporting frameworks and data visualization improvements
3. Build capacity solutions for growing managed businesses
4. Solve real-world problems through metrics and business cases to enhance decision-making
5. Ensure the timely delivery of BI projects in a fast-paced, deadline-driven environment
6. Collaborate with multiple teams, both business and technical
7. Communicate effectively with various levels and stakeholders within the WWRR organization

BASIC QUALIFICATIONS

- 7+ years of business intelligence and analytics experience
- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
- Experience with SQL
- Experience with ETL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software

PREFERRED QUALIFICATIONS

- 4+ years of working with very large data warehousing environment experience
- 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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 $129,100/year in our lowest geographic market up to $223,100/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.