Jobs for People with MS: National MS Society

Description

Transform the future of payments in India by joining Amazon's Payments Data Team. In this role, you'll leverage data analytics to drive strategic decisions and shape the evolution of Amazon Pay. Working at the intersection of payments, analytics, and customer insights, you'll collaborate with cross-functional teams to develop data-driven solutions that enhance customer experience and business growth.

Key job responsibilities

•Design and execute exploratory data analyses to identify customer trends and opportunities

• Develop customer segmentation models to optimize marketing strategies and product roadmaps

• Create and implement analytical frameworks to improve customer engagement across their lifecycle

• Partner with business teams to translate data insights into actionable recommendations

• Lead data-driven initiatives to accelerate Amazon Pay adoption across customer segments

A day in the life

Your day typically involves mining complex datasets, collaborating with Machine Learning teams, and presenting insights to stakeholders. You'll analyze customer behavior patterns, identify growth opportunities, and work closely with cross-functional partners to implement data-driven strategies. You'll also mentor team members and contribute to the evolution of our analytical capabilities.

About the team

The Payments Data Team is integral to Amazon's mission of transforming payments in India. We combine advanced analytics with business acumen to deliver actionable insights to our partners. Our team thrives on solving complex problems and creating innovative solutions that enhance the payment experience for millions of customers.

Basic Qualifications

• Bachelor's degree in Analytics, Statistics, Economics, or related field

• 4+ years of experience in B2C business analytics, marketing analytics, or consumer research

• 2+ years of experience with Advanced SQL and data visualization tools (Tableau, Power BI)

• 2+ years of experience in financial or business analysis

• Experience in hypothesis testing and exploratory data analysis

• Track record of influencing business decisions through data-driven insights

Preferred Qualifications

• Advanced degree in Analytics, Statistics, or related field

• Experience with statistical programming languages (R/Python)

• Knowledge of report automation and dashboard development

• Experience with D3 visualization

• Background in e-commerce analytics

• Experience working with large-scale datasets

• Knowledge of payment systems and financial services

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.