Senior Analyst-Data Analytics
American Express · Posted Nov 2
Banking, credit card, payment network, and travel services
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About the role
The U.S. Consumer Marketing (USCM) team at American Express drives customer acquisition, engagement, and growth through data-driven marketing, and within it the Marketing, Membership & Investment Optimization (MMIO) team leverages analytics, experimentation, and data science to optimize marketing investments and business outcomes. The Senior Analyst will advance experimentation and measurement capabilities through rigorous analytics, causal thinking, and AI-powered solutions, designing and analyzing experiments across the end-to-end acquisition journey.
What you will do
- Design, execute, and analyze experiments to measure incrementality, optimize marketing effectiveness, and improve prospect experiences across the end-to-end acquisition journey.
- Leverage experimentation, analytics, and causal reasoning to identify opportunities for personalized experiences, improved conversion, and customer acquisition growth.
- Translate complex analyses into actionable insights that shape marketing strategies, investment decisions, and prospect & customer journey optimization.
- Build AI-powered, scalable solutions: Leverage AI tools and agentic workflows to develop reusable analytical frameworks, automate processes, and accelerate experimentation, insights, and decision-making.
- Collaborate with cross-functional stakeholders to translate ambiguous business challenges into analytical solutions and clear recommendations.
Skills used in this role
What the employer is looking for
- Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related quantitative field (master’s preferred), with 2+ years of relevant experience in analytics, data science, or experimentation.
- Strong proficiency in SQL and Python, including statistical analysis, large-scale data manipulation, and analytical coding.
- Solid foundation in statistics and experimentation, including A/B testing, hypothesis testing, confidence intervals, statistical power, and experiment design.
- Hands-on experience with AI-assisted coding and analytics tools (e.g., ChatGPT, Claude, Cursor, Copilot, Codex), including the ability to validate AI-generated code and analytical outputs.
- Understanding of LLMs and agentic AI concepts, including prompting, APIs, tool/function calling, RAG, MCP, and agent workflows.
- Familiarity with machine learning fundamentals, including regression, classification, predictive modeling, and model evaluation.
- Strong problem-solving skills, ability to navigate ambiguity, independently drive end-to-end solutions, and communicate effectively with technical and business stakeholders.
Preferred qualifications
- Experience with causal inference and advanced experimentation methods, including difference-in-differences, synthetic controls, propensity score methods, quasi-experimental designs, or incrementality measurement.
- Hands-on experience building AI agents or agentic analytical workflows, particularly for experimentation, data analysis, insight generation, or analytical automation.
- Demonstrated experience building 0-to-1 analytical solutions, reusable frameworks, or automation capabilities with measurable business impact.
- Experience in marketing measurement, digital experimentation, customer acquisition, or conversion optimization.
Benefits and support
- 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
About American Express
American Express Company is a globally recognized multinational financial services corporation specializing in payment cards, travel-related services, and network banking. Founded in 1850, the company provides charge and credit cards, expense management products, and merchant services to consumers, small businesses, and large corporations worldwide. It operates a proprietary payments network known for its premium customer engagement and lifestyle rewards programs.
- Industry
- Banking
- Company size
- 76800 employees
- Founded
- 1850-03-18
- Location
- New York City, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Chief Information Officer and Executive Vice President
Chief Colleague Experience Officer
Chief Marketing Officer
Recent coverage
Investing.com
AmEx lifts 2026 profit forecast, plans to cut 5% of workforce2026-10-23
Associated Press
American Express profits rise; company plans to cut workforce by 5%, or about 3,500 employees2026-10-24
MarketScreener
American Express raises 2026 profit forecast as affluent customers keep spending2026-10-23
GuruFocus
American Express Co (AXP) Q3 2026 Earnings Call Highlights: Record $20.1 Billion Revenue2026-10-24