Business Intelligence Engineer, Analytics & Data Management
Amazon
DESCRIPTION
Amazon is investing heavily in building a world class Advertising business and at AdPT (Advertising Products & Technology) we are responsible for defining and delivering a collection of performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and a bias for action.
With AdPT you will have the satisfaction of seeing your work positively affect multi-billion dollar advertising business and significantly impact the Amazon vision. You will have opportunities to experiment and innovate, grow your technical skills and work in an environment that thrives on creativity, experimentation, and product innovation.
The Analytics & Data Management team (ADM) is looking for an exceptional Business Intelligence Engineer who is passionate about data and the insights that large amounts of data can provide, who thinks/acts globally, and who has the ability to contribute to major novel innovations in the industry. The role will focus on working with a team of Data Engineers, Business and tech-savvy professionals to lay down scalable data architecture to ingest large amounts of structured and unstructured datasets and work with stakeholders to drive business decisions based on these datasets.
The ideal candidate will possess both a BI background and a strong business acumen that enables him/her to think strategically and add value to the customer experience. He/She will experience a wide range of problem solving situations, requiring extensive use of data collection and analysis techniques such as data mining and machine learning.
The successful candidate will work with multiple global site leaders, Business Analysts, Software Developers, Database Engineers, Product Management in addition to stakeholders in sales, finance, marketing and service teams to create a coherent customer view. They will:
- Partner with analysts across teams such as product management, operations, sales, finance, marketing and engineering to build and verify hypothesis to improve the business performance
- Manage weekly business reports via dashboards, and paper daily, weekly, and monthly performance reporting by formulating KPIs
- Design, build, and maintain automated reporting, dashboards, and ongoing analysis to enable data driven decisions across our team and with partner teams
- Identify, develop, manage, and execute queries across multiple data sets to uncover areas of opportunity and present written business recommendations
- Report key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy trends that impact the business
- Collaborate with product, technical, and operational leaders to gather data and metrics requirements
- Retrieve and analyze data using a broad set of Amazon’s data technologies and resources, knowing how, when, and what to use
- Write high-quality SQL/Python code to retrieve and analyze data from databases (e.g. Redshift, EMR, Athena, etc.)
- Manage and execute entire projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations
- Scope, build and own technical data warehouse processes to help the business scale