Amazon Business Intelligence Engineer QTS Team 

United Kingdom, England, London 

71881868

Key job responsibilities
Data Collection and Management:
Design, develop, and maintain data pipelines to gather, process, and store large volumes of inventory-related data. Ensure data quality and integrity by implementing rigorous validation and cleansing processes.Data Analysis:
Reporting and Visualization:
Develop and maintain dashboards and reports to provide real-time visibility into inventory performance and quality metrics.
Create visualizations that effectively communicate complex data insights to stakeholders.Collaboration:
Work closely with cross-functional teams, including operations, finance, and IT, to gather requirements and deliver data-driven solutions.
Continuous Improvement:
Identify opportunities to enhance data collection, processing, and reporting methodologies.
Project Management:
Lead and manage BI projects from conception to implementation, ensuring timely and successful delivery.
Coordinate with stakeholders to define project scope, objectives, and deliverables.By leveraging your skills in data analytics and business intelligence, you will contribute significantly to the QTS team's efforts to maintain inventory accuracy, improve quality assurance, and optimize operational efficiency.

- Master’s degree in Computer Science, Mathematics, Information Systems and related field or 2+ years industry experience..
- Experience in statistical analysis (e.g. ability to conduct analyses using regression, modeling, forecasting approaches, and related tools)
- Familiar with Amazon process related data. Experience with Machine Learning Techniques to Understand Data Patterns and Make Predictions
- Experience in managing and prioritizing a project backlog.
- Expertise in using big data technologies such as Hadoop, Spark, or similar.
- Advanced understanding of Scrum methodologies and hands-on experience with Scrum tools like Jira, Trello, or similar platforms.
- Familiarity with Amazon Web Services (AWS) or other cloud platforms.