Strategic Business Analyst for Cash Payments

3 weeks ago


Bengaluru, Karnataka, India Amazon Pay (India) Private Limited Full time

About the Role

This role will involve working on data mining and analysis for the overall Cash on Delivery (COD) area, enabling business to make informed decisions. The individual will need to interact extensively with other members within the team, across business lines, and work in partnership with Pay Data Analytics, Machine Learning, and Central Customer Analytics teams.

Key Responsibilities

  • Perform exploratory analysis: Fetch data from systems and analyze trends
  • Identify consumer segments that need to be actioned to drive adoption of Amazon Pay
  • Develop India-specific customer segmentation models to improve the efficiency of marketing and financing product roadmap inputs
  • Establish mechanisms for cross-functional teams to consume customer insights to improve engagement along the customer life cycle
  • Work with cross-functional teams

About the Team

This is a challenging area to work on, with high levels of ambiguity, complex problem and solution spaces, requiring patience, resilience, and innovative ideas to iterate and figure out what works. It's like choosing to live in the mountains or running a marathon - tough, yet rewarding. You'll be joining a team of passionate believers who have chosen to work in this area with a mission to improve the experience for the India that wants to shop on e-commerce using cash and for those who are yet to trust us to move to a prepaid mode of payment.

Our Team Philosophy

We're open to hiring candidates to work out of one of the following locations: Bengaluru, KA, IND

Basic Qualifications

  • Experience with SQL or ETL
  • 4+ years of tax, finance, or a related analytical field experience
  • 2+ years of complex Excel VBA macros writing experience
  • Experience defining requirements and using data and metrics to draw business insights

Preferred Qualifications

  • Experience working with Tableau
  • Experience using very large datasets


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