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 team. In this role, you'll 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 flywheel—by 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. You'll architect scalable analytical models, define measurement frameworks, build self-service dashboards, and present data-driven recommendations to Senior Leadership—turning 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 data—reducing 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 accessibility—driving 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, you'll 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 Amazon's international shipping solutions—enabling Selling Partners to move inventory from origins in China, South-East Asia, and beyond into fulfillment centers worldwide. We're a team of builders who combine data engineering, business intelligence, and strategic thinking to accelerate GL's 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-effective—so 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 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.
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 https://amazon.jobs/en/benefits
USA, WA, Bellevue - 130,400.00 - 176,300.00 USD annually
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.
