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.
