Senior BIE, 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 fast-paced 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 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 marketing finance operations program managers and other data teams to understand metrics such as GMS Penetration new loans enrollments etc.

Key job responsibilities
-Owning the design development and maintenance of scalable data solutions for ongoing metrics reports analyses dashboards etc. to support analytical and business needs.
- Recognize and adopt best practices in reporting and analysis: data integrity design analysis validation and documentation.
- Use analytical and statistical rigor to answer business questions and drive business decisions.
- Find and create ways to measure the customer experience to drive business outcomes.
- Develop queries and visualizations for ad-hoc requests and projects as well as ongoing reporting.
- Write queries and output efficiently and have in-depth knowledge of the data available in area of expertise. Pull the data needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert data to make it analysis-ready.
- Troubleshoot operational data-quality issues.
- Review and audit existing ETL jobs and queries.
- Recommending improvements to back-end data sources for increased accuracy and simplicity.

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.

- 5 years of SQL experience
- Experience programming to extract transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval data science machine learning and data mining

- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing analyzing and communicating results to senior leadership

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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 $117300/year in our lowest geographic market up to $202800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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.