Description
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- 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 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.
Join Amazon's Global Logistics team as a Senior Business Intelligence Engineer and help shape the future of our cross-border logistics capabilities. You'll lead the development of cutting-edge analytical solutions and data automations that optimize the speed, cost, and reliability of global import shipments. This role offers a unique opportunity to work with a diverse, international team and make a significant impact on Amazon's worldwide operations.
Key job responsibilities
- Design and develop scalable data warehouse solutions and pipelines
- Create complex data processing jobs using advanced technologies
- Collaborate with stakeholders to understand business needs and deliver insights
- Lead business intelligence initiatives for North American operations
- Provide technical guidance and influence decision-making within the team
A day in the life
As a Senior Business Intelligence Engineer, you'll start your day by checking in with your team across different time zones. You might begin working on a new data pipeline to improve visibility into import shipment delays, collaborating with data engineers to optimize the solution. Later, you could meet with business stakeholders to present your latest analysis on cost-saving opportunities in the logistics network. Throughout the day, you'll be problem-solving, coding, and mentoring junior team members, all while keeping an eye on the broader impact of your work on Amazon's global logistics operations.
About the team
The Global Logistics Analytics team is dedicated to delivering trusted, accessible, and actionable data insights that drive business decisions. We manage a wide range of reporting and analytical products across European and North American operations. Our mission is to enhance the speed, cost-efficiency, and reliability of global import shipments through data-driven strategies. We're a fast-paced, innovative team that values continuous learning and evolution in the rapidly changing world of global logistics.
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
Learn more about our benefits here: https://www.amazon.jobs/en/internal/benefits/us-benefits-and-stock
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- 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 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.
Join Amazon's Global Logistics team as a Senior Business Intelligence Engineer and help shape the future of our cross-border logistics capabilities. You'll lead the development of cutting-edge analytical solutions and data automations that optimize the speed, cost, and reliability of global import shipments. This role offers a unique opportunity to work with a diverse, international team and make a significant impact on Amazon's worldwide operations.
Key job responsibilities
- Design and develop scalable data warehouse solutions and pipelines
- Create complex data processing jobs using advanced technologies
- Collaborate with stakeholders to understand business needs and deliver insights
- Lead business intelligence initiatives for North American operations
- Provide technical guidance and influence decision-making within the team
A day in the life
As a Senior Business Intelligence Engineer, you'll start your day by checking in with your team across different time zones. You might begin working on a new data pipeline to improve visibility into import shipment delays, collaborating with data engineers to optimize the solution. Later, you could meet with business stakeholders to present your latest analysis on cost-saving opportunities in the logistics network. Throughout the day, you'll be problem-solving, coding, and mentoring junior team members, all while keeping an eye on the broader impact of your work on Amazon's global logistics operations.
About the team
The Global Logistics Analytics team is dedicated to delivering trusted, accessible, and actionable data insights that drive business decisions. We manage a wide range of reporting and analytical products across European and North American operations. Our mission is to enhance the speed, cost-efficiency, and reliability of global import shipments through data-driven strategies. We're a fast-paced, innovative team that values continuous learning and evolution in the rapidly changing world of global logistics.
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
Learn more about our benefits here: https://www.amazon.jobs/en/internal/benefits/us-benefits-and-stock
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