Analyst - Data Analytics

At American Express, our culture is built on a 175-year history of innovation, shared and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

How will you make an impact in this role

The Analytics (AIM) team - a part of Global Strategy & Operations, GCS - is the analytical engine that enables the Global Commercial Card business. The team drives profitable growth in Acquisitions through Data, Analytics, AI powered Targeting & Personalization Capabilities.

This role will be an integral part of the customer cross-functional team responsible for driving strategic analysis and initiatives spanning across channels and products for US market. The incumbent would be responsible for analytics solutions that would shape customer acquisitions and organic growth roadmap. The role requires a strong background in data analytics and commercial card knowledge. The position is part of a highly collaborative environment, interacting with and influencing partners across the Global Commercial Service's business at American Express.

Key Responsibilities Include:

• Support Data Driven Strategy: Conduct analysis to evaluate marketing and sales performance, identify customer trends, and uncover opportunities for growth
• Deliver actionable insights: Translate complex data into clear recommendations for senior leadership and functional partners, supporting decision-making on customer engagement, product performance, and revenue outcomes
• Enable cross-functional decision-making: Effectively engage and deliver results in collaboration with key partners including the functional channel owners, the business partners and end-users of analytical solutions and technology partners
• Influence and storytelling: Communicate insights in a compelling way, shaping strategic narratives that drive alignment among cross-functional stakeholders and senior leaders
• Champion Innovation: Bring forward new ideas and experiment and apply emerging Gen AI capabilities to solve business problems and Amex use cases

Minimum Qualifications

• Experience of 0-2 years with minimum Bachelor's degree in a quantitative field (e.g. Statistics, Engineering, Physics, Mathematics and Economics).
• Strong technical and analytical skills with the ability to apply both quantitative methods and business skills to create insights and drive results
• Experiencein applying emerging GenAI capabilities to business problems
• Ability to work independently and across a matrix organization partnering with business partners, functional owners, capabilities, technology teams and external vendors
• Strong programming (SQL and Python) skills with experience in Machine Learning and Data Science
• Ability to prioritize and manage several concurrent projects through collaboration across teams/geographies