Business intelligence Engineer, Amazon Last Mile
Business intelligence Engineer, Amazon Last Mile
Posted on :
07-06-2025
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1 Vacancy
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Job Description
Come help Amazon create cutting-edge data and science-driven technologies for delivering packages to the doorstep of our customers! The Last Mile Routing & Planning organization builds the software algorithms and tools that make the magic of home delivery happen: our flow sort dispatch and routing intelligence systems are responsible for the billions of daily decisions needed to plan and execute safe efficient and frustration-free routes for drivers around the world. Our team supports deliveries (and pickups!) for Amazon Logistics Prime Now Amazon Flex Amazon Fresh Lockers and other new initiatives.
As part of the Last Mile Science & Technology organization youll partner closely with Product Managers Data Scientists and Software Engineers to drive improvements in Amazons Last Mile delivery network. You will leverage data and analytics to generate insights that accelerate the scale efficiency and quality of the routes we build for our drivers through our end-to-end last mile planning systems. You will present your analyses plans and recommendations to senior leadership and connect new ideas to drive change. Analytical ingenuity and leadership business acumen effective communication capabilities and the ability to work effectively with cross-functional teams in a fast paced environment are critical skills for this role.
Responsibilities:
Create actionable business insights through analytical and statistical rigor to answer business questions drive business decisions and develop recommendations to improve operations
Collaborate with Product Managers software engineering data science and data engineering partners to design and develop analytic capabilities
Define and govern key business metrics build automated dashboards and analytic self-service capabilities and engineer data-driven processes that drive business value
Navigate ambiguity to develop analytic solutions and shape work for junior team members
Key job responsibilities
Create actionable business insights through analytical and statistical rigor to answer business questions drive business decisions and develop recommendations to improve operations
Collaborate with Product Managers software engineering data science and data engineering partners to design and develop analytic capabilities
Define and govern key business metrics build automated dashboards and analytic self-service capabilities and engineer data-driven processes that drive business value
Navigate ambiguity to develop analytic solutions and shape work for junior team members
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- 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
- Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Masters degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
As part of the Last Mile Science & Technology organization youll partner closely with Product Managers Data Scientists and Software Engineers to drive improvements in Amazons Last Mile delivery network. You will leverage data and analytics to generate insights that accelerate the scale efficiency and quality of the routes we build for our drivers through our end-to-end last mile planning systems. You will present your analyses plans and recommendations to senior leadership and connect new ideas to drive change. Analytical ingenuity and leadership business acumen effective communication capabilities and the ability to work effectively with cross-functional teams in a fast paced environment are critical skills for this role.
Responsibilities:
Create actionable business insights through analytical and statistical rigor to answer business questions drive business decisions and develop recommendations to improve operations
Collaborate with Product Managers software engineering data science and data engineering partners to design and develop analytic capabilities
Define and govern key business metrics build automated dashboards and analytic self-service capabilities and engineer data-driven processes that drive business value
Navigate ambiguity to develop analytic solutions and shape work for junior team members
Key job responsibilities
Create actionable business insights through analytical and statistical rigor to answer business questions drive business decisions and develop recommendations to improve operations
Collaborate with Product Managers software engineering data science and data engineering partners to design and develop analytic capabilities
Define and govern key business metrics build automated dashboards and analytic self-service capabilities and engineer data-driven processes that drive business value
Navigate ambiguity to develop analytic solutions and shape work for junior team members
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- 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
- Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Masters degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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