Senior Analyst-Data Analytics

Sr Analyst/Analyst, US Consumer CXO Experimentation Analytics

The U.S. Consumer Marketing (USCM) team at American Express drives customer acquisition, engagement, and growth through data-driven marketing. Within USCM, the Marketing, Membership & Investment Optimization (MMIO) team leverages analytics, experimentation, and data science to optimize marketing investments and business outcomes.

We are seeking a Senior Analyst to advance experimentation and measurement capabilities through rigorous analytics, causal thinking, and AI-powered solutions. The ideal candidate is an AI-native, intellectually curious problem solver who thrives in ambiguity, builds solutions from 0 to 1, and translates complex analyses into measurable business impact.

- 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.