About Amazon: As one of the largest e-commerce companies in the world, Amazon Payments processes billions of secure on-line transactions via a number of payment mechanisms, including credit cards, convenience store payment, netbanking, digital cash, cash on delivery and electronic gift certificates. Transactions are processed on behalf of thousands of merchants, including Amazon.in. Amazon is known across the globe as the most trusted company on the Internet. We are committed to delivering an exceptional customer experience. Payments owns and maintains the software platform which processes 20+ payment methods worldwide. The Business Operations team owns the Process and Policy definition, policy implementation and roll out as well as process monitoring and automation. This team defines policies which are adhered to be internal clients like such as Product/Business, Customer Service, Finance, Accounting, Compliance, and Fraud as well as third party partners and banks relied upon to process payments.
About the role: Working in a dynamic environment, you will be responsible for automating dashboards, monitoring key success metrics, managing WBR reports, identifying problem areas and business challenges and collaboratively shaping solutions with Amazon Pay teams to help optimize on the platform. The successful candidate has a passion for extracting actionable insights from data. The candidate needs to innovate, and quickly become a subject matter expert to assess business performance across different Amazon Pay areas. The candidate should have significant experience working with automation, analyzing data, identifying trends, extracting conclusions, and presenting findings in a simple and clear manner using data across various data marts, and align focus on Amazon’s strategic needs. The candidate should be proficient in SQL writing and code optimisation.
Key job responsibilities
Key Responsibilities:
• As part of Data platform team you will be responsible for building scalable datamart using redshift SQL to support business reporting.
• Partner with the business team to understand Amazon Pay ecosystem, Key Performance Indicators and new methodologies for measurement.
• Working backwards from business requirements, and create ETL flows to support their data requirement.
• You will perform complex data analysis, root cause deep dives, and optimisations to identify different
- Bachelor's degree
- Knowledge of data pipelining and extraction using SQL
- Knowledge of SQL and Excel at a moderate or advanced level
- 1+ years of data analytics or automation experience
- Experience with data mining tools like SQL, SAS, SPSS, or similar- Bachelor's degree in a quantitative discipline such as statistics, mathematics, economics, computer science, or any related quantitative field
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