Alexa is the name of the Amazon cloud service that powers Echo, Echo Dot and Tap - the groundbreaking Amazon devices designed around your voice. The Alexa Skills team is seeking a data-oriented problem solver, who will help support our developer community. Developers around the world are building skills for Alexa customers in the US, UK, Germany, France, Italy, Spain, and more. In this role, you will be a part of a team of exceptionally driven, customer-obsessed specialists who strive to provide world-class support to Alexa skill developers.
The team is seeking a Business Intelligence Engineer who is looking to help define how we use data to understand customer behavior and satisfaction. In this role, you will develop and support the analytic technologies that give our teams flexible and structured access to their data, including implementation of a BI platform, defining metrics and KPIs, and automating reporting and data visualization.
The successful candidate will be an expert with SQL, ETL (and general data wrangling) and have exemplary analytical and communication skills. The candidate will need to be a self-starter, comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail.
You know and love working with business intelligence tools, can model multidimensional datasets, and can partner with teammates to answer key business questions. You will also have the opportunity to display your skills in the following areas:
* Design, implement, and support a platform providing ad hoc access to large datasets * Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL * Model data and metadata for ad hoc and pre-built reporting * Interface with business customers, gathering requirements and delivering complete reporting solutions * Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions * Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation * Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers * Participate in strategic & tactical planning discussions, including annual budget processes
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