Analyst-Data Science (SQL, Python, GenAI)

About the Role

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.

This 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.

Responsibilities

• Develop analytical solutions and data products that improve targeting accuracy, personalization, and digital acquisition performance across the AMEX website.
• Build and enhance targeting models leveraging AMEX's vast first-party data and evolving digital intelligence capabilities.
• Apply emerging AI and GenAI techniques, such as intelligent customer journey optimization, semantic modeling and automated insights to enhance targeting precision and analytical productivity.
• Drive experimentation, performance measurement and Investment optimization - designing test structures, evaluating results, and making actionable recommendations to improve conversion and efficiency.
• Develop & foster cross functional relationships with partners across American Express to ensure implementation of analytical solutions and ensure business impact.

What You'll Need

• Master's Degree in a quantitative field (e.g., Engineering, Mathematics, Finance, Computer Science, Statistics, Economics).
• 0-2 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.

Resume Tip

Highlight your experience with emerging AI and GenAI techniques, as well as your proficiency in analytical tools such as SQL, Python, or similar.

Emphasize your ability to drive experimentation, performance measurement and Investment optimization, and your experience with cross-functional relationships.