Role Overview As a Business Analyst in our dynamic fast-paced environment youll work as an extension of the Product Team to:
Drive data-based actionable customer insights
Solve complex business challenges
Become a subject matter expert in assessing business performance across Amazon Pay
Analyze trends and present findings clearly and concisely
Basic Qualifications
Bachelors degree
1 years of data analytics or automation experience
Moderate to advanced proficiency in SQL and Excel
Experience with data pipelining and extraction
Knowledge of data mining tools (SQL SAS SPSS or similar)
Key job responsibilities
Work backwards from business requirements to create effective data models
Perform complex data analysis and root cause deep dives
Partner with business teams to understand the Amazon Pay ecosystem and Key Performance Indicators
Develop new measurement methodologies
Leverage AI tools to drive operational efficiency
Provide actionable insights for product improvement
Optimize processes and identify growth opportunities
About the team
The Amazon Pay Wallet team (SVA) operates one of Indias leading digital payment solutions authorized by the Reserve Bank of India (RBI) to issue Prepaid Payment Instruments (PPI). As a regulated entity were at the forefront of Indias digital payment revolution enabling millions of customers to embrace digital transactions seamlessly.
Our Wallet allows customers to add money via UPI cards netbanking and cash which can be seamlessly used on Amazon popular apps (like Zomato Uber) for UPI payments on QR codes or bank transfers.
Our Success Story:
Achieved extraordinary 5X business growth in the last year
Processing millions of transactions daily across diverse use cases
Leading innovation in digital payments space
Strong regulatory compliance and security frameworks
- 1 years of data analytics or automation experience
- 1 years of capacity planning operations planning business analysis or similar experience
- Bachelors degree
- Knowledge of data pipelining and extraction using SQL
- Knowledge of SQL and Excel at a moderate or advanced level
- Experience with data mining tools like SQL SAS SPSS or similar
- Bachelors degree in a quantitative discipline such as statistics mathematics economics computer science or any related quantitative field
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