Senior Analyst - Data Science (SQL, Python, GenAI)

The Analytics, Investments and Marketing Enablement (AIM) team - within Global Commercial Services Marketing (GCSM) - is the analytics engine powering Commercial customer acquisition, engagement, and retention. AIM develops insights, data products, and analytical solutions that shape smarter marketing and powerful digital experiences.

This Senior Analyst role sits within Corporate Digital Acquisition Analytics , supporting the strategy, development, and optimization of personalized digital experiences for Commercial corporate prospects across Digital channels using data, advanced analytics, and emerging AI.

How will you make an impact in this role?

As a Senior Analyst, you will lead analytical work that fuels the next generation of AMEX’s Corporate digital acquisition engine. You will design and implement data-driven strategies, build analytical solutions to optimize targeting, personalization, and prospect conversion.

This role is ideal for someone who is passionate about digital marketing analytics, enthusiastic about emerging AI and GenAI capabilities, and eager to help shape how AMEX engages Commercial Corporate prospects in a dynamic and competitive digital landscape.

Master’s Degree in a quantitative field (e.g., Engineering, Mathematics, Finance, Computer Science, Statistics, Economics).

2 years of professional work experience in Data Science and Analytics domain

Experience working with LLMs and in building ML models like XGBoost, K-Means, etc with proficiency in analytical tools such as SQL, Python, or similar; knowledge of digital analytics or experimentation frameworks is a plus.

Strong analytical/conceptual thinking acumen to solve unstructured and complex business problems

Excellent written and oral communication skills

Preferred Qualifications

Hands-on GenAI experience with background in Prompt Engineering, RAG architectures to solve business problems

Experience in digital marketing analytics, personalization, website optimization, or acquisition strategy.

Familiarity and interest in applying emerging AI and Gen AI capabilities to improve digital targeting outcomes.

Experience in large data processing and handling; and basic understanding of data science: XGBoost, decision trees, regression modeling, etc.

Strong communication skills with the ability to influence partners and drive action.

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.

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

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.