Jobs · Analyst · New York

Senior Manager-Data Analytics

American Express · New York, NY · Yesterday
HybridAnalystFull-time

Responsibilities

  • 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.

Qualifications

  • Strong analytical and problem-solving skills with experience working 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.
  • Ability to translate data into insights and clearly communicate recommendations to business partners.
  • Experience collaborating within cross-functional teams and influencing decisions through data-driven insights.
  • Demonstrated ability to manage multiple priorities in a fast-paced, dynamic environment.

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