BIE II ACC

Are you passionate about building business insights that drive decision making at the highest levels Do you want to be a part of a fastpaced ambiguous environment and contribute to Amazon Payments charter

In this role you will be responsible for solving complex and ambiguous data and metric problems. You will use latest AWS provided Data Analytics and GenAI tools (such as Quicksight Amazon Q Sagemaker) to provide business metrics for senior leaders. You should have a track record of endtoend ownership and successfully delivering results in a fastpaced 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 marketing finance operations program managers and other data teams to understand metrics such as GMS Penetration new loans enrollments etc.

Key job responsibilities
As a business intelligence engineer you will/may:
* Be highly data driven resourceful customerobsessed and team oriented
* Use latest AWS provided data analytics and GenAI tools (such as Quicksight Amazon Q Sagemaker)
* 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
Amazon Currency Convertor (ACC) Science team within GPTech Amazon Payments owns the Data and ML use cases supporting the ACC business. This role will be focusing on ACCB (Buyer) and ACCS (Seller) products.

3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
Experience with data visualization using Tableau Quicksight or similar tools
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 on latest AWS GenAI based tools like Q for business Q for developers.

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 largescale complex datasets
Masters degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field

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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.