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.
Description
The UMGEA – Global Analytics team is seeking a Sr Analyst for the Field Analytics team. The Analyst will support the build and rollout of scalable merchant intelligence capabilities that help identify actionable opportunities, enable retention and growth initiatives, and inform Client Management and Marketing treatments across GMNS.
This role will support work across merchant triggers, retention analytics, trigger arbitration, treatment playbooks, and predictive insights. The Sr Analyst will help translate analytical opportunities into clear business actions, supporting the transition of insights and pilots into governed, production-ready capabilities through platforms. The role requires strong analytical problem-solving, attention to detail, execution discipline, and the ability to turn complex data into practical recommendations that can be activated by field, Client Management, and Marketing partners.
Responsibilities
Provide analytic and execution support for merchant retention, trigger arbitration, treatment playbooks, and predictive insights that enable GMNS growth initiatives and Client Management priorities.
Analyze merchant performance, spend, engagement, coverage, and behavioral trends to identify early indicators of decline, retention risk, and growth opportunities and support field activation decisions.
Support the development and scaling of merchant trigger capabilities, including deterministic and predictive triggers that help enable timely, insight-led interventions.
Help translate analytical pilots and proof-of-concepts into governed, production-ready capabilities through enterprise platforms such as TargetIQ.
Partner with cross-functional stakeholders to understand business questions, define analytical requirements, and deliver timely, high-quality insights.
Translate complex data into clear, concise findings, treatment recommendations, and business actions that can be understood and acted upon by partners.
Support automation and standardisation of recurring analytics processes to improve efficiency, reduce operational risk, and increase speed to market.
Qualifications
2-4 years of relevant experience in analytical domain.
Intellectual curiosity, attention to detail ability to learn quickly and drive results.
Ability to drive insights from data, manage multiple projects and drive results in a fast-paced environment.
Strong collaboration skills with ability to build relationships and challenge the status quo.
Excellent business writing and presentation skills with the ability to communicate effectively, build relationships and influence at all levels.
Technical Skills: Familiarity with Google Big Query, SQL, Python, Lumi, PySpark and Tableau.
Experience in dispute analytics, risk operations, or merchant business preferred.
Experience in Machine Learning/ Cloud / Gen AI is a plus.
Academic Background
Bachelors in Statistics/Mathematics/Economics/ Engineering/Data Science with relevant experience.
Post Graduation in Statistics/Mathematics/ Economics/Engineering/Management is a plus.
