Job Description

How will you make an impact in this role

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.

Shift Time- 1:30 PM - 9:30 PM IST

Responsibilities

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

Qualifications

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

About Us

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 Team

We 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.

Senior Analyst-Data Science