Business Intelligence Engineer, Amazon Fresh Stores

We are looking for an experienced Business Intelligence Engineer (BIE) who is passionate about data, analytics, science, and automation. This role will focus on our physical grocery stores business, Amazon Fresh Stores, in the US and will be responsible for building data and reporting to inform business analytics and strategy. While this role will directly support the business, it will report into our Fresh Retail BI (RBI) team, where we will provide technical management and team support to share resources, best practices, and learnings, and increase efficiencies over time.

Our team, RBI, seeks to Invent and Simplify solutions that increase the speed and quality of decision-making through econometric research and models, business process automation, business analysis and reporting, and cloud computing infrastructure. In this role, you will have the opportunity to touch every aspect of our business from launch strategy to procurement to customer delivery experience.

To be successful in this role, you must have a high capacity to Learn and Be Curious adapting to the latest changes in the business, systems, tools, and techniques for extracting, processing, analyzing, modeling, and taking action on data. The ideal candidate will be a self-starter, highly analytical, consistently think in terms of automation, and intensely detailed with a strong customer focus to drive strategy in a fast-paced environment with limited supervision. The ideal candidate shows good judgment in making technical trade-offs between short term and long term business needs and demonstrate the ability to drive issues to completion.
As a BIE on our team you will focus on exciting and challenging problems, including:
Apply your deep analytic and business intelligence skill to extract meaningful insight from large and complicated data sets
Engage business stakeholders in constructive dialogues to convert business problems into logic problems that can be solved with data, statistics, and/or scripting
Design, develop, and implement scalable, automated infrastructure for data extraction, processing, computation, and delivery
Support fellow engineers and scientists to deliver analytical projects and build proof of concept applications
Work closely with data engineering, product management, and business stakeholders to deliver features to customers
Learn new technology and techniques such that you can meaningfully support product and process innovation
Help drive new initiatives and data integration projects

We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA

BASIC QUALIFICATIONS

- Bachelor's degree in sciences, engineering, finance or equivalent
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Knowledge of SQL and data warehousing concepts
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

PREFERRED QUALIFICATIONS

- Master's degree in sciences, engineering, finance or equivalent
- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.