Amazon Sr Business Intelligence Engineer Prime Video Product & Tech BI 

United States, Washington, Seattle 

754079995

Key job responsibilities
We’re looking for a Sr. BIE who can help us drive data-driven decision-making across Prime Video. You will own defining and managing request prioritization, allocation of work across the team, establishing net new business metrics, and owning a new suite of reporting tools. You will develop solutions to complex and unsolved business problems characterized by imperfect data. You will drive the development of new reporting suites to help scale and optimize the reporting processes across Prime Video. A BIE in our team requires the ability to dive deep into large amounts of data, have good business intuition, curiosity, and grit to deal with ambiguity, and the desire to influence strategic decisions with data-driven analysis and insights.Core responsibilities include:
· Own the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs.
· Efficiently drive project prioritization and allocation across a small BI team
· Manage and deliver multiple complex business requests simultaneously
· Translate basic business problem statements into analysis requirements. Work with internal customers to define best output based on expressed stakeholder needs.
· Build and deliver high quality data architecture and pipelines to support business analysts, product and program managers, and customer reporting needs.
· Mentor and develop other Business Intelligence Analysts / Engineers.
· Serve as a senior SME for Tableau (or equivalent) and SQL, including helping teams become more self-sufficient with scripted requests.
· Interfacing with multiple international stakeholders gathering requirements and developing new datasets in data warehouse

- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) 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