Amazon's Customer Service (CS) department is seeking an experienced Business Intelligence Engineer (BIE) to join the team. Customer service is the heart of Amazon, our vision is to be "Earth's most customer-centric company; to build a place where people can come to find and discover anything they might want to buy online."

The successful candidate will be a key member of the Amazon CS Data Analytics Support Hub (DASH). This team supports internal stakeholders (leadership team, project managers, program managers) with reactive analytics requests, and pro-actively builds tools to improve department productivity and ease of access to data and analytical resources.

A successful candidate will have a deep knowledge of business intelligence solutions and have the ability to work with AWS services, Python programming, project management, and business teams. They will have passion for data and analytics, be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and entrepreneurial environment, and driven by a desire to innovate Amazon’s approach in this space.

Tools used include:
1. SQL (Redshift)
2. AWS Services - S3, Lambda, Athena, Glue, EC2, ECS, Kinesis, CDK
3. Python, Linux
4. ETL tools (internal)
5. Data visualization – QuickSight

Key job responsibilities
Key job responsibilities
· Design, build, and maintain data pipelines, reporting, analytical & automation tools on AWS
· Work with a variety of data sources and large data sets, pull data using efficient query development and provide a holistic and consistent view of the data to facilitate analytical insights
· Debug report issues, unblock workflows and communicate with other teams and customers to provide status updates
· Automate existing processes where needed
· Work with our customers on incoming re-active requests to understand their needs and design reporting, analytics, and data pipeline solutions that will exceed expectations.
· Pro-actively develop flexible and scalable solutions using AWS services and Amazon internal tools
· Stay up-to-date on the latest AWS services and technologies
· Ratio of re-active, stakeholder initiated workload vs. proactive, project related workload: 50:50