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Location
Hybrid (Gurgaon, India)
Seniority
Senior · 2+ years exp
Visa
Sponsors visas in United States, United Kingdom; no register of this country names it

Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 10, 2026. American Express scores A on the Alion truth index.

Overview
Company
Impact
Profile match
American Express is a New York financial services company founded in 1850 as an express freight business that became a payments network and card issuer. Unlike the four-party networks it competes with, it issues most of its own cards and operates its own network, which lets it earn merchant discount revenue as well as interest and annual fees, and supports a premium rewards proposition built on travel and lounge access. Its business spans consumer and small business cards, corporate payments, merchant acquiring and travel services, and it is a component of the Dow Jones Industrial Average.

You Lead the Way. We’ve Got Your Back.

At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly redefining what’s possible - and we’re proud to back each other every step of the way. When you join #TeamAmex, you become part of a diverse community of over 60,000 colleagues, all with a common goal to deliver exceptional customer experience every day. We back our colleagues with the support they need to thrive, professionally and personally. That’s why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

Our Team

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.

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.
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