Analyst/Senior Analyst - Product Analytics

The Global Merchant & Network Services (GMNS) organization is responsible for managing relationships with millions of Merchants and Partners around the world that facilitate American Express acceptance and enabling the day-to-day operations of our company’s payment network. The U.S. Merchant Marketing, Global Marketing Execution & Analytics (UMGEA) team is responsible for leveraging marketing and analytics capabilities to drive sustainable growth through customer, partner, and product insights that inform the merchant value proposition, channel strategy, and investment optimization, while leveraging the full range of enterprise assets and partnerships for GMNS customers and ensuring we remain compliant as a network. The GMNS Analytics team within UMGEA is responsible for partnering with global markets to drive profitable growth, accelerating acceptance and amplifying the value of Amex acceptance to Merchants, bank partners and Card Members at scale. We offer powerful data and actionable insights to attract new businesses to engage with Amex, help existing businesses improve performance and capitalize on new opportunities.

The GMNS Analytics team is seeking an Analyst to join the GMNS Product Analytics team and support analytics and insight development for multiple strategic growth priorities for GMNS Product. The role will help build foundational reporting, measurement frameworks, and performance insights to track the evolution and scale of Product capabilities. Working closely with Product, Risk, and Data partners, the Analyst will translate complex data into clear, actionable insights that inform product strategy, assess business performance, identify emerging risks and opportunities, and support effective decision-making as the Product ecosystem develops.

• Develop and maintain foundational reporting and dashboards for GMNS Products, providing timely and reliable visibility into adoption, engagement, transaction performance, and business outcomes.
• Support the design and evolution of measurement frameworks, KPIs, and success metrics that assess the performance and impact of Product capabilities across relevant products, partners, merchants, and customer journeys.
• Monitor performance trends and emerging patterns, conducting anomaly detection and root-cause analysis to identify opportunities, issues, and potential risks as the Product landscape scales.
• Conduct deep-dive and bespoke analyses to evaluate product performance, user behavior, commercial outcomes, and operational effectiveness, translating findings into actionable recommendations.
• Partner with multiple stakeholders to define analytical requirements, validate data sources, and ensure reporting and insights address evolving strategic and operational needs.
• Provide performance insights that inform product strategy, prioritization, experimentation, and investment decisions throughout the development and scaling of Product capabilities.
• Identify opportunities to automate recurring reporting and monitoring, improve analytical efficiency, and build scalable insight solutions as business requirements and Product capabilities mature.
• Communicate analytical findings through clear narratives, visualizations, and stakeholder updates tailored to multiple audiences.

• 1–2 years of relevant experience in analytics, business intelligence, reporting, or a related analytical domain.
• Strong intellectual curiosity and attention to detail, with the ability to learn quickly, solve problems, and deliver results.
• Ability to derive actionable insights from data, manage multiple priorities, and deliver high-quality outcomes in a fast-paced environment.
• Strong collaboration and stakeholder-management skills, with the ability to build effective relationships and constructively challenge the status quo.
• Excellent written and verbal communication skills, with the ability to synthesize complex information, present insights clearly, and influence stakeholders at different levels.
• Experience in the merchant, payments, financial services, or related industry is preferred.

• Working knowledge of SQL, Google Big Query, Tableau, Advanced Excel, and PowerPoint.

• Experience with data analysis, reporting, visualization, and dashboard development.

• Exposure to machine learning, cloud technologies, GenAI, or analytics automation is a plus.

Academic Background:

• Bachelor’s degree in Statistics, Mathematics, Economics, Engineering, Data Science, or a related quantitative discipline.
• Postgraduate degree in Statistics, Mathematics, Economics, Engineering, Management, Data Science, or a related discipline is a plus.