Do you enjoy diving deep into data building data models and developing business metrics to generate actionable insights Are you looking for an opportunity to define end to end analytics roadmap work with cross functional teams and leverage cutting edge modern technologies and cloud solutions to develop analytics products. DSP Analytics team has an exciting opportunity for a Business Intelligence Engineer (BIE) to improve Amazons Delivery Service Partner (DSP) program through impactful data solutions.
The goal of Amazons 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.
We are looking for an innovative highlymotivated and experienced BIE who can think holistically about problems to understand how systems work together to identify and execute both tactical and strategic projects. You will work closely with engineering teams product managers program managers and org leaders to deliver endtoend data solutions aimed at continuously enhancing overall DSP performance and delivery quality. The business coverage is broad and you will identify and prioritize what matters most for the business quantify what is (or is not) working invent and simplify the current process and develop selfserve data and reporting solutions.
You should have excellent business and communication skills to be able to work with business owners to define roadmap develop milestones define key business questions and build datasets that answers those questions. The ideal candidate should have handson SQL and scripting language experience and excel in designing implementing and operating stable scalable lowcost solutions to flow data from production systems into the data warehouse and into enduser facing applications.
Key job responsibilities
Lead the design implementation and delivery of BI solutions for the Worldwide DSP Performance solutions and Network Health.
Manage and execute entire projects from start to finish including stakeholder management data gathering and manipulation modeling problem solving and communication of insights and recommendations.
Extract transform and load data from many data sources using SQL Scripting and other ETL tools.
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.
Retrieve and analyze data using a broad set of Amazons data technologies (ex. Redshift AWS S3 Amazon Internal Platforms/Solutions) and resources knowing how when and which to use.
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.
Work closely with business stakeholders and senior leadership team to review roadmap and contributing to business strategy and how they can leverage analytics for success.
About the team
We are the core Amazon DSP BI team with the vision to enable data insights and science driven decisionmaking. We have exceptionally talented and fun loving team members. In our team you will have the opportunity to dive deep into complex business and data problems drive large scale technical solutions and raise the bar for operational excellence. We love to share ideas and learning with each other. We are a relatively new team and do not carry legacy operational burden. We believe in promoting and using ideas to disrupt the status quo.
Per the internal transfers guidelines please reach out to the hiring manager for an informational through the Request Informational button on the job page.
10 years of professional or military experience
7 years of SQL experience
Experience programming to extract transform and clean large (multiTB) data sets
Experience with theory and practice of design of experiments and statistical analysis of results
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
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