Senior Analyst -Data Analytics - American Express

Key Responsibilities

• Partner with product, engineering, and data science teams to define and execute data‑driven strategies that improve customer authentication and online payment experiences.
• Design, develop, and maintain analytical dashboards and visualizations that monitor digital engagement, security metrics, and conversion rates.
• Conduct statistical analyses and A/B tests to evaluate the impact of new authentication methods, UI changes, and fraud‑prevention controls.
• Build predictive models using machine learning techniques to anticipate fraud risk, churn, and usage patterns.
• Translate complex data findings into clear recommendations for stakeholders and support roadmap prioritization.

Requirements

• 5+ years of experience in data analytics, preferably within digital identity, payments, or e‑commerce domains.
• Proficiency in SQL and Python for data extraction, transformation, and advanced analysis.
• Strong background in statistical modeling, A/B testing, and machine‑learning frameworks.
• Expertise in data‑visualization tools (e.g., Tableau, Power BI) and ability to communicate insights to non‑technical audiences.
• Experience working with large‑scale data platforms (e.g., Hadoop, Spark, Snowflake) and cloud environments.