Business Intelligence Engineer Amazon
Seattle, WA

Job Description

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon is one of the most recognizable brand names in the world and we distribute millions of products each year to our loyal customers.

This is an opportunity to be a part of an initiative that will leverage a centralized data historian to analyze big data and enable strategic decision making to help shape the future of the Worldwide Fulfillment Network. The World Wide Amazon Customer Excellence Systems group combines the skills of top tier Technical PMs, Operations Engineers, and Program Managers to conduct statistical analysis, design machine learning models, and provide recommendations for incremental, emerging, and disruptive improvements initiatives across Operations. Our goal is to apply innovative data solutions to process improvement efforts across Amazon in areas such as artificial intelligence, data science, machine learning, computer vision, and other capacities to advance Amazon's performance.

As a Business Intelligence Program Manager, you will serve as a subject matter expert for cross-functional engagements that will define strategy for the next generation of improvement initiatives across Worldwide Operations. As an experienced data expert, you will also be responsible for coaching and mentoring junior members within the team. You will hold a highly visible role that requires interaction with leaders across Operations, Engineering, Amazon Robotics, Advanced Technology, and Amazon Fulfillment Technology.

Some of the Problem that we need you help solving:

* How do we standardize process management and reduce process/machine variation across Worldwide Operations?
* Where should we be investing strategic resources?
* How do we find predictive insights from masses of data to know where to focus operations improvements?

You will have an opportunity to:

* Coordinate directly with next generation project teams to establish measurement systems, machine learning models, design of experiments.
* Publish findings, updates, and data driven recommendations from your team to Senior Leadership across Worldwide Operations.
* Develop and maintain standard operating procedures for your team and their interactions across the organization.

You should be able to:

* Apply Statistical, Data Science, Machine Learning or other innovative methods to specific business problems and data
* Collaborate with colleagues from multidisciplinary science, engineering and business backgrounds.
* Collect, analyze and present actionable data insights to drive operational support and logistics decisions
* Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions