About Amazon Pay
Amazon Payments processes billions of secure online transactions via a number of payment mechanisms, including credit cards, convenience store payment, net banking, 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 rollout, as well as process monitoring and automation.
This team defines policies which are adhered to by internal clients 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
As a Business Analyst on the Data Products team at Amazon Pay, 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 the platform.
The successful candidate has a passion for extracting actionable insights from data. You will need to innovate and quickly become a subject matter expert to assess business performance across different Amazon Pay areas.
You 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 ideal candidate will be proficient in SQL writing and code optimization.
Key Job Responsibilities
* Build scalable datamarts using Redshift SQL to support business reporting.
* Partner with the business team to understand the Amazon Pay ecosystem, Key Performance Indicators, and new methodologies for measurement.
* Work backwards from business requirements and create ETL flows to support their data requirements.
* Perform complex data analysis, root cause deep dives, and optimizations to identify different opportunities to reduce process gaps.
BASIC QUALIFICATIONS
To be successful in this role, you must have:
* A Bachelor's degree
* Knowledge of data pipelining and extraction using SQL
* Knowledge of SQL and Excel at a moderate or advanced level
* At least 1 year of data analytics or automation experience
* Experience with data mining tools like SQL, SAS, SPSS, or similar
PREFERRED QUALIFICATIONS
The following qualifications are preferred:
* A Bachelor's degree in a quantitative discipline such as statistics, mathematics, economics, computer science, or any related quantitative field