Business Intelligence Engineer, Amazon Logistics, WW AMZL Business Intelligence and Analytics ORBIT

Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast Have you wondered where it came from and how much it cost Amazon to deliver it to you If so the Worldwide (WW) Amazon Logistics Last Mile team is for you. We manage the delivery of tens of millions of products every week to Amazons customers achieving on-time delivery in a cost-effective manner to deliver a smile for our customers.

Amazon Logistics is looking for a smart and ambitious individual to develop and support Amazon Logistics business intelligence and operations reporting and management systems. Amazon Logistics is a large rapidly growing package delivery operation that handles packages for Amazon and our customers with worldwide operations.

The potential candidate will support analysis improvement and creation of metrics and dashboards on Amazon Logistics and Transportation by addition she/he will work with internal customers at all levels of the organization Operations Customer service HR Technology Operational Research Health & Safety Loss & Prevention. The potential candidate will enjoy the challenges and rewards of working in a fast-growing organization and a very international environment.

As an Amazon Business Intelligence Engineer you will be working in one of the worlds largest and most complex data warehouse environments. You should have deep expertise in the design creation management and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions. You should be expert at designing implementing and operating stable scalable low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions.

Above all you should be passionate about bringing large datasets together to answer business questions and drive change.

Key job responsibilities
Partner with internal stakeholders across multiple teams gathering requirements and delivering end to end solutions
Partner with Data Engineering and Software Development Engineers to prioritize and define AMZL data and BI development needs
Work with in-house scientists global supply chain transportation and logistics teams to identify new BI capabilities and projects
Lead and develop a team of Business Intelligence Engineers and Business Analysts
Conduct deep dive investigations into operations execution and business problems identify opportunities and lead or support implementation (role varies by opportunity)
Analyze and visualize large scale geo-spatial logistics and transaction data to articulate user behavior or delivery process problems and output solid analysis report with recommendation.
Serve as liaison between the WW Planning and Analytics team and the operations business teams to achieve the goal of providing actionable insights into current delivery performance and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation synthesis and modeling problem solving and communication of insights and recommendations
Develop queries and visualizations for ad-hoc requests and projects as well as ongoing reporting

About the team
This role is within Amazon Logistics (AMZL) ORBIT (Operations Reporting Business Intelligence and Technology) team. This team works as an integral part of AMZL worldwide to ensure that its business intelligence and analytics needs are met. By providing information insight and decision support we strive to enable success of all parts of AMZL. Our customer set includes senior management station operations DSP management Flex management long-term planning Ops technology (Voice of the Delivery Station Voice of the Customer) network planning and pretty much every BI and Ops teams in AMZL.

- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with data modeling warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

- Masters degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets
- Experience with forecasting and statistical analysis

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 TX Austin - 99500.00 - 160000.00 USD annually
USA WA Bellevue - 99500.00 - 160000.00 USD annually