The Analytics (AIM) team – a part of Global Commercial Services– 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 would be supporting the analytics for US Customer Analytics for sales channels. The incumbent will be responsible for performing strategic analyses, synthesizing conclusions, and communicating recommendations to partners aimed at driving revenue through customer acquisitions/ expansion. The position is part of a highly collaborative environment, interacting with and influencing partners across the Global Commercial Service's business at American Express. The role will require the incumbent to drive not only sophisticated analysis but also heavy partner management through thought-leadership. The role requires a strong background in data analytics, machine learning and commercial card knowledge.
- 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 2-4 years with minimum Bachelor's degree in a quantitative field (e.g. Statistics, Engineering, 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
- 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
- Experience in applying emerging GenAI capabilities to business problems
- Ability to prioritize and manage several concurrent projects through collaboration across teams/geographies
Preferred Qualifications: - Experience in Advanced GenAI techniques, marketing/acquisition analytics/data science; relevant industry experience preferred
- Master's degree
At American Express, our culture is built on a 175-year history of innovation, shared values 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 our 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.
About the TeamWe back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
- Competitive base salaries
- Bonus incentives
- Support for financial-well-being and retirement
- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- Generous paid parental leave policies (depending on your location)
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
Skills Required
- 2–4 years of professional experience
- Bachelor’s degree in a quantitative field such as Statistics, Engineering, Mathematics, or Economics
- Strong technical and analytical skills applying quantitative and business methods
- Ability to work independently and collaborate across a matrix organization
- Strong SQL and Python programming skills
- Experience with Machine Learning and Data Science
- Experience applying emerging Generative AI capabilities to business problems
- Ability to prioritize and manage multiple concurrent projects across teams and geographies
- Experience with advanced Generative AI techniques
- Experience in marketing, acquisition analytics, or data science
- Relevant industry experience
- Master’s degree
American Express Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about American Express and has not been reviewed or approved by American Express.
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Strong & Reliable Incentives — Bonuses are often viewed as strong and materially boost total compensation when combined with benefits. Company-performance bonuses are highlighted as a recurring strength.
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Leave & Time Off Breadth — Paid time off and paid leave are frequently highlighted as strengths within the total rewards package. These policies support work-life balance and contribute meaningfully to overall satisfaction.
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Retirement Support — Retirement benefits are frequently mentioned as a positive component of the package. These offerings add tangible value beyond base salary.
American Express Insights
What We Do
At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day. These beliefs have been our North Star for 170 years as our business transformed – from helping evacuate travelers during World Wars, to ensuring the safety of our customers’ funds during the Great Depression in the U.S., to creating the Shop Small® movement to help small businesses recover from the Financial Crisis, to providing aid to communities impacted by many natural disasters and so much more. For generations, the key to our success has been the determination and resilience of our American Express colleagues. Now, as a globally integrated payments company, we work together to provide customers with access to products, insights and world-class experiences that enrich lives and build business success. Join us and let’s lead the way together.
