Bie External Fulfillment jobs at Amazon in United States, Nashville-davidson

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.

Key job responsibilities
In this position you will partner with product managers, software engineers, user experience designers and other teams. A successful candidate will have an established background with strong technical ability, bar raising engineering skills, great communication skills and motivation to achieve results in a fast-paced environment. In this role you will both code and mentor junior engineers committing code to the program.A day in the life1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Key job responsibilities
Support OTS data strategy:
• Build data model solutions tailored to customer needs supporting our Tableau to QuickSight Migration and improving our Data as a Product strategyDevelop and manage data:
• Build standardized reporting processes and dashboards
• Automate data pipelines where possible
• Develop, program, manage, and maintain complex statistical datasetsPerform data analysis and problem-solving:
• Define and utilize statistical methods to solve OTS business and industry-specific problems
• Research problems and identify data required to answer specific questions
• Identify trends and inter-relations in data
• Compare insights to identify patterns, relationships, and problemsCommunicate insights and findings:
• Prepare detailed reports for management and other departments
• Analyze and interpret data
• Communicate findings to OTS business partners and stakeholdersCollaborate and guide:
• Work with partner teams
• Guide proper development of data assets
• Supervise data entry when necessaryEnsure data quality and governance:
• Implement best practices for data management
• Contribute to data governance initiatives
A day in the life- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan

- 5+ years of professional or military experience
- 5+ years of SQL experience
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience building measures and metrics, and developing reporting solutions
- Experience with AWS technologies
- Experience with data visualization using Tableau, Quicksight, or similar tools

Key job responsibilities
In this position you will partner with product managers, software engineers, user experience designers and other teams. A successful candidate will have an established background with strong technical ability, bar raising engineering skills, great communication skills and motivation to achieve results in a fast-paced environment. In this role you will both code and mentor junior engineers committing code to the program.A day in the life1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent