As digital identity and commerce become increasingly vital in our customers' daily lives, we are seeking an experienced analyst to join a team that is central to delivering secure, seamless, and engaging digital experiences.

The Identity & Commerce Analytics Analyst will be a part of a team that supports customer authentication and online payment experiences that influence millions of customer interactions annually and are critical drivers of digital engagement, security, and commerce growth. 

This analyst will partner with Product, Technology, and Data teams to deliver data-driven strategies that improve authentication experiences, increase digital engagement, and accelerate online payment product adoption globally.

The role requires a strong analytical focus and the successful candidate is encouraged to exhibit expertise in understanding and structuring data, and drawing meaningful insights through statistical analysis, design of experiments, or decision support logic.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

• Utilize SQL and Python within our cloud-based analytics ecosystem (Google Cloud Platform) to analyze large-scale customer and transaction datasets.
• Develop analytical frameworks and insights to optimize identity and commerce products, including customer behavior studies, product diagnostics, performance measurement, and opportunity assessments that inform product strategy and investment decisions.
• Identify and analyze data discrepancies and data quality issues and work to ensure data consistency and integrity.
• Execute, and evaluate A/B and multivariate experiments to optimize customer login, authentication, and online payment experiences while balancing business outcomes, security, and customer experience.
• Success in this role will be measured through the quality and impact of analytical insights, improvement of key digital experience metrics, and successful experimentation outcomes.

Required Qualifications

• 3- 5 years of analytics experience

  
  

• Intermediate SQL or Python skills

  
  

• Experience working with large-scale datasets

  
  

• Strong communication and stakeholder management skills
   

  
  

Preferred Qualifications

• Experimentation and statistical analysis experience

  
  

• Experience supporting digital products, authentication, or customer journeys