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Senior Analyst Analyst- Data Analytics

Talentmate

India

19th September 2026

2609-5795-1117

Job Description

The UMGEA – Global Analytics team is seeking an 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 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 CLM 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 standardization 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.

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.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

Competitive base salaries
Bonus incentives
Support for financial-well-being and retirement
Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
Generous paid parental leave policies (depending on your location)
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Job Details

Role Level:	Associate	Work Type:	Full-Time
Country:	India	City:	Gurgaon ,Haryana
Company Website:	https://www.americanexpress.com/	Job Function:	Data Science & AI
Company Industry/ Sector:	Financial Services

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