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Analyst - Data Analytics
Resy
posted 23d ago
Key skills for the job
You Lead the Way. We ve Got Your Back.
At American Express, you ll be recognized for your contributions, leadership, and impact every colleague has the opportunity to share in the company s success. Together, we ll win as a team, striving to uphold our company values and powerful backing promise to provide the world s best customer experience every day. And we ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
Join Team Amex and lets lead the way together.
Business Overview:
Global Merchant & Network Services (GMNS), the merchant and bank partner network of American Express, acquires and maintains relationships with merchants and banks, who welcome American Express branded cards. We are dedicated to bringing buyers and sellers together and transforming how American Express is welcomed.
Merchant Insights & Products team sits within GMS Analytics in Global Merchant and Network Services. We are responsible for creating new insight-based products and scaled solutions to support our merchant business. We provide powerful analytics to our global marketing partners and senior leadership, which further aids strategic decisions. We offer powerful data and actionable insights to attract new merchant businesses, help existing businesses improve performance and capitalize on new opportunities.
Role and Responsibilities:
Develop next generation product & algorithmic solutions for merchants and internal stake holders.
Qualifications and Skills Required:
Overall relevant work experience: 1-3 years.
Self-starter, ability to drive insights from data, provide action steps and drive results in a fast-paced environment.
Creative thinker with ability to learn quickly and navigate through unstructured initiatives.
Ability to work effectively in a team environment with strong communication and interpersonal skills.
Effective in written and verbal communication with partners located globally.
1+ years experience in SQL/Hive, Python is a must.
Experience in HTML/CSS and JavaScript, VBA, MS Office PowerPoint, Excel is a plus.
Academic Background:
Bachelors/Masters in Information Technology/Computer Science /Computer Applications/Engineering or relevant quantitative field.
Benefits include:
Employment Type: Full Time, Permanent
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