The Amazon North American Transportation Services (NATS) team is seeking a Senior Business Intelligence Engineer (BIE) with exceptional analytical technical and communication skills. NATSinformally known as Outboundis responsible for managing the connectivity and flow across Amazons transportation network.
This is a high-impact role that partners closely with Supply Chain Managers Data Engineers Program Managers Data Scientists and senior leaders to tackle complex business challenges. The ideal candidate is a self-starter who thrives in ambiguity is comfortable working with large and complex datasets and brings a strong sense of ownership to their work.
Were looking for someone who is equally passionate about diving deep into data and elevating decision-making across the organization through high-quality insights and scalable solutions.
Key job responsibilities * Lead cross-functional business intelligence strategies including defining roadmaps setting timelines and delivering results. * Partner with product science engineering and business teams to shape long-term solutions for data visualization and explainability. * Own end-to-end data support for new initiatives and business-critical processes using insights to drive continuous improvement and growth. * Design develop and maintain scalable infrastructure pipelines and reporting tools to enable long-term strategic analysis. * Simplify and re-architect existing data solutions to meet the evolving scope and scale of the business. * Integrate data across domainsincluding supply demand sales operations and customer behaviorto generate a holistic view of the business.
A day in the life You will coordinate across product science and engineering teams to drive technical execution for planning control and forecasting systems that power Amazons outbound transportation network. Youll be expected to influence strategy drive operational improvements and unlock new opportunities through data.
- 6 years of professional or military experience - 6 years of SQL experience - Experience programming to extract transform and clean large (multi-TB) data sets - 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
- Experience working directly with business stakeholders to translate between data and business needs - Experience managing analyzing and communicating results to senior leadership
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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