Amazon Business Intelligence Engineer III Amazon AIR 

United States, Washington, Bellevue 

986797445

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 algorithmsCollaboration and Communication:
- Work closely with stakeholders to understand business requirements- 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

- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Master's degree in statistics, data science, or an equivalent quantitative field