Program Mgr, Data & Analytics, Amazon Autos
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
In this role they collaborate closely with the Head of Market Intelligence Head of Analytics technical program managers data engineers and business intelligence engineers to drive efficiency and accountability across the team. They own on-call mechanisms ensuring issues are triaged and resolved promptly and maintain high-quality external documentation for our B2B productsempowering customers to navigate and extract value from our data platform with ease.
Key job responsibilities
Intake & Backlog Management
- Manage internal and external intake processes for the reporting and analytics function
- Maintain well-organized prioritized backlogs aligned with business objectives
- Triage incoming requests and ensure timely routing to appropriate teams
- Track progress and communicate status updates to stakeholders
Cross-Functional Collaboration
- Partner with the Head of Market Intelligence and Head of Analytics to align priorities and resource allocation
- Coordinate with technical program managers to ensure seamless execution of cross-functional initiatives
- Support data engineers and business intelligence engineers in delivering high-quality outputs on schedule
- Facilitate communication and alignment across teams to remove blockers and drive efficiency
Operational Excellence
- Own and manage on-call mechanisms to ensure rapid triage and resolution of issues
- Develop and refine processes to improve workflow efficiency and accountability
- Monitor key operational metrics and identify opportunities for continuous improvement
Documentation & Customer Enablement
- Maintain comprehensive high-quality external documentation for B2B products
- Ensure documentation is accurate up-to-date and accessible to customers
- Partner with product and engineering teams to document new features and updates
About the team
Amazon Autos is a newly formed team with a vision to create innovative automotive sales discovery and purchasing experiences on . We in partnership and collaboration with other experienced teams at Amazon are redefining the future of how sellers and consumers can shop for cars online.
- 3 years of team management experience
- 3 years of program or project management experience
- 3 years of working cross functionally with tech and non-tech teams experience
- 3 years of delivering cross functional projects experience
- Experience defining program requirements and using data and metrics to determine improvements
- Experience implementing repeatable processes and driving automation or standardization
- Experience in data mining data management reporting and SQL queries
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 83200.00 - 145500.00 USD annually
Required Experience:
Manager
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
About Company
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