Are you passionate about transforming data into insights that drive strategic decisions? Do you excel in dynamic, fast-paced environments where ambiguity is an opportunity to innovate?
As a Business Intelligence Engineer II within the Intellectual Property Protections team, you will make an immediate impact — designing and building datasets, reports, and dashboards, developing metadata models, monitoring data pipelines, and solving complex analytical challenges. You will collaborate closely with cross-functional Product and Science teams to deliver data solutions.
Key job responsibilities
* Design, build, and manage large-scale datasets, ensuring data quality, reliability, and accessibility
* Partner with Product, Engineering, Science, and Program teams to gather requirements and deliver scalable, high-performance data solutions
* Translate complex analytical findings into concrete, actionable recommendations that drive product and business improvements
* Conduct deep-dive analyses to uncover hidden risks, trends, and opportunities, and build frameworks to measure and communicate impact
* Own query performance tuning and optimization across large, complex datasets to ensure efficiency at scale
* Develop dashboards and analytics solutions that provide clear visibility into business health, and operational performance
* Drive the adoption of new analytics technologies and tools while championing industry best practices
* Communicate strategic findings clearly to both technical and non-technical stakeholders, bridging analytical complexity with business context
About the team
The IPP team is a part of Amazon's Selling Partner Services (SPS) organization. The team's vision is protect Brands IP's and prevent Brands eligible for protections & customers worldwide from ever seeing an ASIN on Amazon that has invalid data (e.g. misuse of trademarks, copyright). We strive to make Amazon the best way for Selling Partners to operate their businesses by protecting their intellectual property while reaching customers locally and globally.
