Amazon BIE External Fulfillment 

United States, Tennessee, Nashville-Davidson 

49360696

Are you passionate about transforming data into actionable insights and driving value across Amazon's External Fulfillment network? We're seeking a highly skilled, results-driven Business Intelligence Engineer to join our NA External Fulfillment Operations team. In this critical role, you'll develop analytical methods, dashboards, and KPIs to empower leadership with data-driven strategic decisions.
This position is central to our automation key workstream, supporting a core operations team overseeing 30+ sites, with potential expansion to 200+ sites within 1-2 years. You'll play a crucial role in proactively managing risk and effectively communicating with 3P partners using action-based data.
The ideal candidate excels at extracting data, building robust pipelines, identifying patterns, and translating complex information into compelling narratives. You'll need strong analytical skills, high judgment, and a deep understanding of business processes. Most importantly, you'll partner with a wide range of stakeholders to develop centralized data tools that serve diverse team needs, objectives, metrics, and risk profiles.
As a member of our developed BI team, you'll benefit from a collaborative culture that emphasizes intentional skill development and provides wide opportunities for career growth. You'll work alongside experienced professionals in an environment that fosters innovation and continuous learning.Key job responsibilitiesDesign and implement efficient, testable, and maintainable BI solutions resilient to data quality issues.
Leverage Redshift, Oracle, NoSQL, and other technologies to analyze and interpret large-scale datasets.Create complex, optimized queries and data pipelines to transform raw data into meaningful reports and dashboards.
Collaborate closely with business and operations teams to gather requirements and present insights.
Enable data-driven decision making by aggregating information from multiple sources into actionable formats.

- Bachelor's degree in Computer Science, Data Science, or related field.
- 5+ years of experience analyzing and interpreting data using Redshift, Oracle, NoSQL, or similar technologies.
- Proficiency in data visualization tools such as Tableau, Quicksight, or equivalent.
- Demonstrated experience in data modeling, warehousing, and building ETL pipelines.
- Strong SQL skills for complex data extraction and Python scripting for data processing and modeling.
- Track record of developing and presenting impactful metrics that enhance business performance visibility.