Amazon Air operates an air transportation network comprised of 80+ aircraft serving 40+ airports in the United States, enabling us to deliver fast shipments over long distances to Amazon customers, no matter where they live. We also serve an increasing number of external airfreight and express cargo shippers via domestic and international routes.
The Amazon Air Speed and Yield Management (SPYM) team is looking for an experienced, creative and strategically-minded Business Intelligence Engineer who can help us understand how we can improve our network capacity and design to deliver the greatest value to all of our customers. The person in this role will drive innovation within and beyond Amazon Air through actionable insights, advanced analytics, and measured experimentation. Key partners include product management, supply chain, research science, operations, and other teams.
The ideal candidate will be a self-starter, highly analytical, and intensely detailed with a strong customer focus and perspective to drive strategy in an ambiguous, fast-paced environment.
Key job responsibilities
Data Analysis:
- Conduct exploratory data analysis to uncover insights
- Develop and implement statistical models and algorithms
- Perform ad-hoc analysis to answer business questions
Collaboration and Communication:
- Work closely with stakeholders to understand business requirements
- Translate business needs into technical specifications
- Present findings and insights to both technical and non-technical audiences
Data Collection and Integration:
- Gather data from various sources (databases, APIs, files, etc.)
- Design and implement data integration processes
- Ensure data quality and consistency across systems
Data Modeling and Optimization:
- Write complex SQLs to convert raw data to meaningful metrics
- Optimize SQLs for improved performance
Report and Dashboard Development:
- Develop interactive visualizations to present data effectively
Data Governance and Security:
- Ensure data security and compliance with regulations
Continuous Improvement:
- Stay updated with the latest BI tools and technologies
- Automate processes where possible to increase efficiency
Documentation and Training:
- Create and maintain documentation for data models, processes, and reports
- Provide training and support to end-users on BI tools and dashboards
Problem-solving:
- Troubleshoot data discrepancies and technical issues
- Develop solutions to complex data-related problems
Data Strategy:
- Contribute to the organization's overall data strategy
- Identify opportunities for leveraging data to drive business value
A day in the life
Your day will be a dynamic blend of data exploration, strategic analysis, and collaborative problem-solving. You'll work in a fast-paced, supportive environment where your insights directly impact our operational excellence and customer experience, with director-level visibility to key speed and revenue metrics on a weekly basis.
About the team
We are a forward-thinking group dedicated to revolutionizing air cargo transportation. Our team is committed to leveraging data-driven strategies to optimize our network, enhance customer satisfaction, and push the boundaries of logistics innovation.- 5+ 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- 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
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 $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. 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.
