Are you passionate about building GenAI based business insights? Do you want to be a part of a fast-paced, ambiguous environment and contribute to one of the biggest payment platform on globe?

In this role you will be responsible for solving complex and ambiguous data and metric problems. You will use latest AWS provide Data Analytics and GenAI tools to provide business metrics for senior leaders. You should have a track record of end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment. You should be able to work on complex initiatives, deal with ambiguity. You will be required to work with senior leaders, product managers, program managers and sister data teams to understand metrics like ASR, Bad Debt, PSR etc. You will also need to provide metrics around code development, ticket resolution etc.

Key job responsibilities
As a business intelligence engineer, you will/may:
* Be highly data driven, resourceful, customer-obsessed and team oriented
* Use latest AWS provided data analytics and GenAI tools
* Design, develop, and implement scalable, automated processes for data extraction, processing, and evaluation
* Define data driven approaches and metrics strategy to uncover new insights
* Have a passion for sourcing, manipulating, and visualizing data to tell business stories
* Be able to clearly communicate strategic findings and recommendations
* Translate complex, technical concepts into business terms and vice versa
* Work with engineering and data teams to support the development of tools and dashboards

About the team
Payments ML and Data team in GPTech, Amazon Payments, owns the Data and ML use cases, services, product for core payment platforms. We provide payments data to 550+ clients teams in Amazon and have AI/ML products based on that data impacting annual GMS of more than $100MM.