Are you excited about uncovering actionable insight to improve delivery experience? Do you get excited about operating in an ambiguous and fast moving environment? Are you looking for an opportunity to define analytics roadmap, work with cross functional teams, and build decision-driven analytics solution for work that is critical to Amazon's continued ability to deliver smiles in communities? The DSP Analytics Team has an exciting opportunity for a Senior Business Intelligence Engineer (BIE) to make an impact on the Amazon's Delivery Service Partner (DSP) program.The goal of Amazon's DSP organization is to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually striving to innovate and provide best in class delivery experience through the introduction of pioneering new products and services in the last mile delivery space. Come join us and help us make history!We are looking for an innovative, highly-motivated and experienced Sr. BIE who can think holistically through multidimensional problems to understand how systems work together to identify and execute both tactical and strategic projects which drive improvements to DSP programs. You will work closely with engineering teams, product managers, program managers, business coaches, business development manager and org leaders to deliver end-to-end data solutions aimed at continuously enhancing overall business health of DSP programs. In this role, you will dive deep into disparate datasets to improve our understanding of various components involved in Last Mile delivery, build decision-driven analytics that systematically track the overall quality of the DSP business and program health, improve tooling to reduce cognitive load for data consumers, and extract actionable insights to drive program, product, value added service (VAS) offering changes .Key job responsibilities- Build high quality data architecture and ETL data pipelines using SQL, Scripting and other ETL tools.- Retrieve and analyze data using a broad set of Amazon's data technologies (ex. Redshift, AWS S3, Amazon Internal Platforms/Solutions) and resources, knowing how, when, and which to use.- Design, build, and maintain automated reporting, dashboards, and ongoing analysis to enable data driven decisions across our team and with partner teams.- Report key insight trends using statistical rigor to simplify and inform the larger team of noteworthy trends that impact the business.- Work closely with business stakeholders and leadership team to define the analytics roadmap and structure of our data solutions- Manage and execute analytics solutions end-to-end including project management, data gathering and manipulation, modeling, problem solving, and communication of insights and recommendations.- Earn the trust of your customers and stakeholders by continuing to constantly obsess over their business use cases and data needs, and helping them solve their problems by leveraging technology.- Be connected and influential within the Amazon BI and DE community. Work with data engineering and software development teams to enable the appropriate capture and storage of key data points. Mentor junior BI engineers.About the teamDSP Analytics team's vision is to build best-in-class analytics solutions to support our internal and external DSP stakeholders and partners for making data driven decisions org-wide. In our team, you will have the opportunity to dive deep into complex business and data problems, drive high-impact and large scale data solutions and raise the bar for engineering and operational excellence. We care about your career growth. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing f