Business Intel Engineer III, re:Cycle Reverse Logistics

re:Cycle Reverse Logistics is an electronics processing, reuse, and recycling company that works to extend the life of used electronic equipment through reuse, repair, and recycling. We are a stand-alone company within the Amazon corporate family that provides services to other Amazon companies. We specialize in the handling of valuable electronic equipment that was originally used in data centers. Come join our team and be a part of history as we deliver results for the largest cloud services company on Earth!

re:Cycle Reverse Logistics is looking for a talented, driven, and analytically focused Senior Business Analyst in support of our Reverse Logistics (RL) program. In this role, you will own the end-to-end business intelligence roadmap, defining the vision for metrics, reporting infrastructure, and automated analytical solutions that enable data-driven decision-making across our sustainability and recovery initiatives. You will be the subject matter expert and thought leader for RL analytics, influencing senior leadership and driving strategic priorities through compelling data narratives.

As a Senior Business Analyst, you will operate with significant autonomy to identify high-impact opportunities, define problem spaces in ambiguous environments, and deliver scalable solutions that shape the direction of our global network. You will partner directly with Managers and Directors across Operations, Commercial, Program Management, and Finance to align analytics capabilities with long-term business objectives. This role requires someone who can balance strategic thinking with hands-on technical execution while mentoring and elevating the analytical capabilities of the broader team.

Key job responsibilities

• Own and define the analytics strategy for the Reverse Logistics organization, establishing the vision, roadmap, and priorities for metrics, dashboards, and automated reporting solutions across the global network.
• Drive strategic decision-making by translating complex data into actionable insights and recommendations for senior leadership (Director/VP level)
• Lead cross-functional initiatives spanning Operations, Commercial, Program Management, and Finance, serving as the central analytics partner to align stakeholders on business needs, KPIs, and success metrics.
• Architect and implement scalable data solutions, including automated pipelines, self-service reporting tools, and advanced analytics capabilities that reduce manual effort and enable real-time decision-making.
• Establish and own governance frameworks for data quality, metric definitions, and reporting standards across the RL organization, ensuring consistency and accuracy in global performance measurement.
• Identify and prioritize high-impact opportunities in ambiguous problem spaces, scoping analytical approaches and driving end-to-end delivery with minimal oversight.
• Mentor and develop junior analysts and business partners, raising the analytical bar across the organization through coaching and best practice sharing.
• Partner with technical teams (Engineering, Data Science) to influence tool development, data architecture decisions, and long-term platform investments.
• Drive continuous improvement by establishing feedback loops, identifying process inefficiencies, and implementing mechanisms that enhance operational performance and accountability across the supply chain.

Key job responsibilities

• Own and define the analytics strategy for the Reverse Logistics organization, establishing the vision, roadmap, and priorities for metrics, dashboards, and automated reporting solutions across the global network.
• Drive strategic decision-making by translating complex data into actionable insights and recommendations for senior leadership (Director/VP level)
• Lead cross-functional initiatives spanning Operations, Commercial, Program Management, and Finance, serving as the central analytics partner to align stakeholders on business needs, KPIs, and success metrics.
• Architect and implement scalable data solutions, including automated pipelines, self-service reporting tools, and advanced analytics capabilities that reduce manual effort and enable real-time decision-making.
• Establish and own governance frameworks for data quality, metric definitions, and reporting standards across the RL organization, ensuring consistency and accuracy in global performance measurement.
• Identify and prioritize high-impact opportunities in ambiguous problem spaces, scoping analytical approaches and driving end-to-end delivery with minimal oversight.
• Mentor and develop junior analysts and business partners, raising the analytical bar across the organization through coaching and best practice sharing.
• Partner with technical teams (Engineering, Data Science) to influence tool development, data architecture decisions, and long-term platform investments.
• Drive continuous improvement by establishing feedback loops, identifying process inefficiencies, and implementing mechanisms that enhance operational performance and accountability across the supply chain.