Sr Business Intelligence Engineer, Amazon Bulk Services
Apply NowCompany: Amazon
Location: Bellevue, WA 98006
Description:
Amazon Fulfillment Technologies (AFT) powers the physical engine at the heart of Amazon. AFT builds and operates software, hardware, and the processes that run the global network of fulfillment centers that move billions of units of inventory, employ tens of thousands of people, and ensure that customers get what they want when promised. We do this by building automated solutions to handle things that technology does well, while relying on people to handle things that humans do well.
Amazon Bulk Services (ABS) is a new program established with the vision of providing Amazon customers with the most compelling bulk selection across varying packaging levels (multi-pack/inner-pack, case-pack, and pallet) at competitive prices, in the most cost-effective and selling-partner-friendly way, free of defects. The ABS 2025 goals aim to establish technological and operational readiness for handling multi-packs. The objective is to fulfill multiple pack sizes of the same product from the same building with no increase in defects.
Key job responsibilities
As a Sr Business Intelligence Engineer of the Amazon Bulk Services program, you will be challenged with building and driving analytics to deliver Amazon customers with the most compelling bulk selections. You will be responsible for identify gaps in delivering this vision across the e2e supply chain using a data-driven approach. You will need to bring value insights into ambiguous business problems, and lead data-driven decision making within the org as well as with stakeholders. You will be empowered to think big, invent on behalf of our customers, make judgment calls and find solutions to hard problems. The world is changing fast and this is a dynamic role where you will be able to learn as much as you contribute.
A day in the life
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
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!
About the team
Amazon Fulfillment Technologies (AFT) powers Amazon's global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.
Inventory
AFT's Inventory team delivers complex, innovative, scalable solutions to manage the end-to-end lifecycle of all physical goods across the Amazon fulfillment network, ensuring both inventory record accuracy and safe inventory handling for billions of items.
BASIC QUALIFICATIONS
- 5+ years of SQL experience
- 5+ years of professional or military experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with AWS technologies
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience with theory and practice of design of experiments and statistical analysis of results
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/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.
Amazon Bulk Services (ABS) is a new program established with the vision of providing Amazon customers with the most compelling bulk selection across varying packaging levels (multi-pack/inner-pack, case-pack, and pallet) at competitive prices, in the most cost-effective and selling-partner-friendly way, free of defects. The ABS 2025 goals aim to establish technological and operational readiness for handling multi-packs. The objective is to fulfill multiple pack sizes of the same product from the same building with no increase in defects.
Key job responsibilities
As a Sr Business Intelligence Engineer of the Amazon Bulk Services program, you will be challenged with building and driving analytics to deliver Amazon customers with the most compelling bulk selections. You will be responsible for identify gaps in delivering this vision across the e2e supply chain using a data-driven approach. You will need to bring value insights into ambiguous business problems, and lead data-driven decision making within the org as well as with stakeholders. You will be empowered to think big, invent on behalf of our customers, make judgment calls and find solutions to hard problems. The world is changing fast and this is a dynamic role where you will be able to learn as much as you contribute.
A day in the life
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
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!
About the team
Amazon Fulfillment Technologies (AFT) powers Amazon's global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.
Inventory
AFT's Inventory team delivers complex, innovative, scalable solutions to manage the end-to-end lifecycle of all physical goods across the Amazon fulfillment network, ensuring both inventory record accuracy and safe inventory handling for billions of items.
BASIC QUALIFICATIONS
- 5+ years of SQL experience
- 5+ years of professional or military experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with AWS technologies
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience with theory and practice of design of experiments and statistical analysis of results
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/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.