Have you ever wondered how Amazon designs and builds its vast transportation and supply chain network? Do you get excited about optimizing global supply chain operations to reduce costs and enhance efficiency? If you thrive in a fast-paced environment and are eager to make a significant impact on a global scale, we want to hear from you!
We are the Intelligence & Industrialization (I&I) team within the Global Supply Chain and Transportation Procurement/ Amazon Customs & Trade (GSCTP/ ACT) organization, at the forefront of 3P transportation logistics procurement and customs & trade operations. We are seeking an experienced and talented business intelligence engineer who is passionate about applying advanced data analytics techniques and develop automated BI solutions to provide actionable and efficient business decision-making. Examples of these decisions include configuring contractual stipulations, negotiating optimal terms with vendors, and minimizing trade penalty risks and operational delays in customs clearance.
This position requires high judgment, excellent analytical abilities, interest to understand the vast domain of Amazon's global supply chain; it also offers broad exposure to various business, operational, financial, and technical teams across the org and Amazon.
Key job responsibilities
- Identify opportunities and key criteria to drive analytical reporting, models and business strategy.
- Conducting deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
- Partner with internal stakeholders across multiple teams and domains, gathering requirements and delivering complete solutions.
- Collaborate with team members on reporting datasets; review and raise code reviews (PL/SQL and Python); successful candidate should have experience with Amazon's internal code repositories or equivalent.
- Working with technology and analytics teams to support the development of tools, automation, and dashboards.
- Understanding a broad range of Amazon’s data resources and know how, when, and which to use and which not to use.
- Coach junior members of the team and/or other external teams about how Placement systems works and best practices for data analytics.
- Engage proactively in continuous learning initiatives to consistently enhance and broaden your toolkit of supply chain systems and data technologies.
