Business Intelligence Engineer II, AWS Infrastructure Supply Chain Intelligence

- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- * Understands scripting languages (e.g. Python, R, Shell) in order to update/troubleshoot existing scripts for basic BI use cases (data transformations, statistical tests and analyses, process automation)
- * Able to apply basic statistical methods to difficult business problems and understand these methods’ assumptions and limitations.
- * If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skill sets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

We are looking for a talented Business Intelligence Engineer to join the Manufacturing Operations, Transportation Operations, and Reverse (MOTOR) organization in support of our Supply Chain Intelligence team. MOTOR manages the manufacturing of datacenter racks and the movement of racks/parts through the supply chain, consisting of transportation, warehousing, and reverse logistics into and out of the data centers. This role requires someone with strong analytic skills and business acumen who will work with stakeholders on strategic projects within MOTOR.

The ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done. Technical ability to support dashboard creation supporting daily operations, track KPIs, and provide holistic performance measurements to be shared with internal and external stakeholders is desired. The role plays a critical part in ensuring strategic commitments are made and operations are exceeding desired performance levels by using metrics to drive accountability and process improvements.


Key job responsibilities
- Build data pipelines, reports, dashboards, and analyses to deliver metrics and insights to the business.
- Translate difficult business problem statements into analysis requirements and maintain high bar throughout the execution.
- Define analytical approach; review and vet analytical approach with stakeholders.
- Proactively and independently work with stakeholders to construct use cases and associated standardized outputs.
- Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis.
- Report key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy story lines that impact the business.
- Learn and understand a broad range of Amazon’s data resources and know how, when, and which

About the team
This team provides data engineering and business intelligence engineering services to the rest of MOTOR. We are the data experts behind the scenes helping the operational teams focus on operations by ensuring they have accurate, timely data and provide business insights to help improve operational excellence.