Senior Business Intelligence Engineer, Global Logistics Analytics

Are you excited about using data to shape how millions of products move across the globe Amazon Global Logistics (GL) is looking for a Sr. Business Intelligence Engineer to own the analytics strategy for our Product & Go-to-Market this role youll transform complex international shipping customs clearance and freight data into insights that directly influence how we invest grow and deliver value to Selling Partners worldwide.

Amazon Global Logistics sits at the heart of the Amazon flywheelby making international shipping more affordable and reliable we empower Selling Partners to bring more selection to customers which drives traffic attracts more sellers and lowers costs for everyone. Your work will directly measure and accelerate this cycle across the US EU UK and JP marketplaces.

You will serve as the subject matter expert on analytics for a cross-functional team of Product Managers Strategists Marketers and Operations Managers. Youll architect scalable analytical models define measurement frameworks build self-service dashboards and present data-driven recommendations to Senior Leadershipturning ambiguity into action at global scale.

Key job responsibilities
- Own the end-to-end analytics strategy for GL Product & GTM designing measurement systems KPIs and business metrics that guide investment decisions product roadmaps and operational performance across ocean freight air freight customs clearance and emerging logistics solutions.

- Architect and deliver self-service BI tools (dashboards reports automated pipelines) that empower a 12-person cross-functional team and senior leaders to independently access and act on datareducing time-to-insight and enabling faster decision-making.

- Size and prioritize business growth opportunities by building analytical models applying statistical methods and conducting deep-dive investigations to maximize return on effort and reduce lead-times from concept to launch.

- Partner with centralized Data Engineering teams to improve data assets quality and accessibilitydriving requirements for new data sources and ensuring reliable insights from large-scale multi-source datasets.

- Communicate findings and coach peers by writing concise documents publishing data-driven recommendations to VP-level audiences and mentoring team members who lead functional strategies on how to leverage data effectively.

A day in the life
You might start your morning reviewing dashboard metrics on freight volume and seller adoption then dive into a deep-dive analysis sizing a new customs clearance opportunity. After lunch youll partner with Product Managers to define success metrics for an upcoming launch followed by presenting quarterly performance insights to GL leadership.

About the team
Global Logistics Product & GTM Analytics powers Amazons international shipping solutionsenabling Selling Partners to move inventory from origins in China South-East Asia and beyond into fulfillment centers worldwide. Were a team of builders who combine data engineering business intelligence and strategic thinking to accelerate GLs growth. We value curiosity ownership and a bias for action. Our work directly fuels the Amazon flywheel by making cross-border logistics simpler and more cost-effectiveso Selling Partners succeed and customers get more selection faster.

- 10 years of relevant professional or military experience
- 5 years of SQL experience
- Experience in ETL management/data pipeline
- 2 years of data visualization and reports tools experience
- Experience with scripting for automation (e.g. Python) and AWS technologies
- Experience applying statistical analysis methods and experimental design to business problems

- Experience in program management logistics operations supply chain transportation or a related field
- Experience translating between complex data and business needs for non-technical stakeholders including senior leadership
- Experience designing measurement frameworks KPI systems or analytics strategies for new business initiatives
- Experience with machine learning predictive modeling or advanced forecasting applied to operational optimization
- Experience mentoring or coaching analysts/engineers on analytical methodologies and best practices
- Experience building self-service BI platforms that scale across cross-functional teams

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 Bellevue - 130400.00 - 176300.00 USD annually