Business Intelligence Engineer, Last Mile UTR Planning Analytics
4 weeks ago
About the Role
We are seeking a highly skilled Business Intelligence Engineer to join our Last Mile UTR Planning Analytics team at Amazon. As a key member of our team, you will be responsible for designing, engineering, and implementing metrics models that drive continuous improvement for Amazon's global delivery operations.
Key Responsibilities
- Lead and influence business-critical decisions across multiple organizations and geographies with the metrics and insights you create and manage.
- Work with technology and analytics teams to support the development of tools, automation, and dashboards.
- Engineer critical input and output metrics across the full operations spectrum.
- Create process performance metrics to measure operational performance, identify root causes and trends, and prescribe action plans for delivery stations around the globe.
- Manage metrics across multiple projects simultaneously.
- Communicate with and support various internal stakeholders and external audiences.
About the Team
The Last Mile UTR Planning Analytics team focuses on building automated solutions for our last mile network. We drive improved accuracy, reduced effort, and reduced variation. We work with our Planning, Operations, Finance, and People eXperience and Technology (PXT) teams to understand business requirements and deliver customized solutions to support day-to-day execution and the future vision of value-added work for our partners.
Requirements
- 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.
Preferred Qualifications
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets.
About Amazon
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.
Compensation
The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/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.
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