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 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 AIM (Analytics, Investment & Marketing Enablement) team – a part of GCS Marketing – is the analytical engine that enables the Global Commercial Services portfolio of American Express. Accelerating growth momentum, increasing profitability, and strengthening our value proposition are key objectives for this organization.

About the Role

This Senior Analyst – Data Analytics role, based out of India, will join the Prospect cross-functional team within AIM and independently execute analytical workstreams supporting prospect targeting and acquisition initiatives. Leveraging a broad analytical toolkit—including advanced machine learning, predictive modeling, optimization, and emerging AI techniques—the role supports the end-to-end development of scalable analytical solutions that enhance targeting precision, engagement effectiveness, and marketing ROI.

Operating at the intersection of advanced analytics, commercial strategy, and evolving AI capabilities, this role translates data-driven insights into sustainable competitive advantage. The individual will serve as a strategic partner to marketing and product stakeholders, shaping analytical roadmaps and embedding data science into core decision-making processes.

Key ResponsibilitiesTranslate business questions into structured analytical and decision-intelligence frameworks, identifying appropriate statistical techniques, machine learning, and Generative AI approaches (e.g., LLMs, RAG, embeddings) to deliver high-impact solutions.Design, build, and enhance advanced analytical models and GenAI-enabled data products—including predictive modeling, customer/prospect scoring, matching, prioritization, and enrichment capabilities—to strengthen targeting and acquisition strategies.Develop and validate scalable AI/ML solutions, including NLP and Generative AI applications where relevant, ensuring alignment with business objectives, platform standards, and production-readiness requirements.Apply strong quantitative judgment and technical rigor to evaluate data quality, refine features, enhance models, and ensure analytical methods and pipelines are robust, efficient, and aligned with best practices.Influence and align cross-functional partners by collaborating with product, engineering, and business stakeholders to define Generative AI and analytical use cases, integrate analytical solutions into workflows, and enable effective adoption.Support experimentation and performance evaluation frameworks for analytical solutions, incorporating testing, monitoring, and continuous improvement aligned with business objectives.Present analytical insights, model performance, trade-offs, and business impact clearly to senior stakeholders and cross-functional partners.Ensure adherence to established model governance and responsible AI guidelines in collaboration with risk and compliance partners.Minimum QualificationsDegree in a quantitative field preferred - such as Engineering, Mathematics, Computer Science, Finance, or Economics.1+ years of experience in data science, advanced analytics, machine learning, decision science, or related quantitative rolesStrong programming skills in Python and SQL, with working knowledge of Hive and/or PySpark in large-scale data environments, and hands-on experience developing machine learning models end-to-end.Strong analytical and problem-solving capability, including a solid understanding of statistical techniques (e.g., hypothesis testing, regression) and practical experience applying machine learning algorithms such as XGBoost or k-nearest neighbors to business problems.Proactive mindset with the confidence to question assumptions and propose improved analytical approaches.Demonstrated ability to independently execute analytical tasks with high ownership and accountability.Ability to maintain high standards of accuracy and attention to detail in fast-paced environments.Strong written and verbal communication skills, with the ability to build strong working relationships and deliver clear, compelling insights to senior leaders.Preferred QualificationsExperience working with LLM-based applications, including prompt design and evaluation, is a strong plus.Familiarity with modern ML and AI tooling ecosystems; exposure to Generative AI frameworks and LLM application development is a plus.

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.