Do you want to join one of the most exciting teams at the world's most customer-centric company? Then come soar with Amazon Global Air (AIR)! AIR is a worldwide, customer-obsessed transportation provider of choice that safely delivers low cost, high quality service. AIR realizes this vision through a talented, inclusive, and diverse team, leveraging innovative technologies and a sustainability-aware mindset.​ Our AIR Data, Analytics and Business Intelligence team fuels AIR's success through data driven decisions. We empower AIR business with actionable insights, advanced analytics, and strategic foresight. By leveraging data as a strategic asset, we enable agility, uncover new opportunities, deliver trusted intelligence and delight our customers.

We are looking for an experienced, innovative, and strategic Business Intelligence Engineer who will be comfortable diving into complex problems and using data to recommend business decisions. The ideal candidate will be a self-starter, highly analytical, and intensely detailed with a strong customer focus and perspective to drive strategy in a high-growth, fast-paced environment.

Key job responsibilities
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:
- Implement ETL (Extract, Transform, Load) processes
- Write complex SQLs to convert raw data to meaningful metrics
- Optimize SQLs for improved performance
Report and Dashboard Development:
- Design and create reports and dashboards using BI tools (e.g., AWS QuickSight, Tableau, Power BI, Looker)
- Develop interactive visualizations to present data effectively
- Ensure reports are accurate & user-friendly
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 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