Business Intelligence Engineer II - Amazon Lending

Job description

DESCRIPTION

The Business Intelligence Engineer (BIE) will be a key member of the technical team at Amazon Lending, contributing to a new and rapidly growing line of business for Amazon. This person will deliver on strategic analytical projects, define/produce end-to-end metrics that inform product and risk decisions through data-driven insights and improve data/metric accessibility for our business.

The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex business contexts, and, above all else, is passionate about data and analytics. He/she is an expert with business intelligence tools and passionately partners with the business to identify strategic opportunities where data-backed insights drive value creation. An effective communicator, the candidate crisply translates analysis result into executive-facing business terms. A great collaborator, the candidate works aptly with internal and external teams to push the projects across the finishing line. He/she is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoys working in a fast-paced and global team.

Core Responsibilities
· Retrieve and analyze data using SQL, Excel, and other data management systems
· Define and deliver on complex analytical deep dives to unlock insights that drive business decisions
· Own end-to-end production of metrics reporting that the organization relies on to run the business and monitor its customers
· Act as Subject Matter Expert for anything analytics related to the Pay By Invoice business.

Desired profile

BASIC QUALIFICATIONS

· Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Economics, Finance, Mathematics, Statistics, Engineering).
· 3+ years of relevant experience one of the following areas: data science, data engineering, business intelligence or business analytics.
· Expert-level proficiency in writing complex, highly-optimized SQL queries across large datasets.
· Demonstrated ability in data modeling, ETL development, and Data warehousing.
· Knowledge of dashboard building using Tableau, AWS Quicksight, OBIEE, MicroStrategy (or similar reporting tool)
· Ability to manage competing priorities simultaneously and drive projects to completion.