Senior Analyst-Data Analytics (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 role sits within the Paid Media, Affiliates & Cobrand Analytics team , supporting strategy, analytics and optimization across platforms. The team partners closely with Marketing to drive advanced audience targeting, optimize media performance, and build the next generation of Digital capabilities using data, advanced analytics, and emerging AI. How will you make an impact in this role? As an Analyst/Senior Analyst, you will lead analytical work that fuels the strategy for Affiliates, Paid Media & Cobrand channels for commercial Audience. You will design and implement data-driven strategies, build scalable analytical solutions, and collaborate across business, digital, and technology teams to optimize targeting, personalization, and prospect conversion. This role is ideal for someone who is passionate about digital marketing analytics, audience strategy and applying emerging AI/GenAI techniques to transform Digital outcomes. Develop analytical solutions and data products that improve targeting accuracy, personalization, and digital acquisition performance for the entire digital journey. Own end-to-end analyses focused on audience segmentation, experimentation, funnel optimization, and identification of acquisition opportunities. Build and enhance models and decisioning strategies , 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. Collaborate closely with cross-functional partners across American Express to ensure implementation of analytical solutions and ensure business impact. Synthesize insights and clearly communicate findings and strategy implications to leaders and stakeholders across the organization. Champion innovation and continuous improvement , bringing forward new ideas in digital analytics, advanced modeling techniques, Gen AI use-cases and scalable data automation that future-proof AMEX’s digital acquisition engine. Master’s/Bachelor’s Degree in a quantitative field (e.g., Engineering, Mathematics, Finance, Computer Science, Statistics, Economics). Strong analytical and problem-solving skills to navigate through complex, ambiguous business questions. Experience with 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. Experience collaborating within cross-functional teams through data-driven insights. Demonstrated ability to manage multiple priorities in a fast-paced, dynamic environment. Preferred Qualifications Experience in digital marketing analytics, personalization, website optimization, or acquisition strategy. Familiarity with digital ecosystem tools such as clickstream analytics platforms, identity frameworks, or real-time recommender systems. Familiarity and interest in applying emerging AI and Gen AI capabilities to improve digital targeting outcomes.