Senior Analyst Analyst- Data Analytics

American Express; Gurugram District; Hybrid; INR 700,000 - 1,200,000; Full time

Benefits offered by this job

Competitive base salary

Job summary

American Express is seeking an Analyst for the UMGEA – Global Analytics Field Analytics team. The role focuses on building scalable merchant intelligence, retention analytics, and predictive insights to drive GMNS growth and CLM priorities.

You will translate analytical opportunities into actionable business decisions, working with field, Client Management, and Marketing partners to operationalize insights and pilots within enterprise platforms and governance.

Qualifications

• 2-4 years of experience in analytics or related domains.
• Ability to derive actionable insights from data and turn them into business actions.
• Strong written and verbal communication for stakeholders at all levels.
• Experience with analytical tools and platforms to support growth initiatives.
• Familiarity with ML/Cloud/Gen AI is a plus.

Responsibilities

• Provide analytic support for merchant retention, triggers, and predictive insights.
• Analyze performance, spend, engagement, and behavioral trends to inform activation decisions.
• Develop scalable merchant trigger capabilities and production-ready insights.
• Translate pilots into governed capabilities on enterprise platforms like TargetIQ.
• Collaborate with cross-functional teams to define analytical requirements.
• Translate data findings into concise recommendations for partners.
• Support automation of recurring analytics processes to improve speed and reduce risk.

Skills

Analytical thinking

Attention to detail

Data-driven insights

Project management

Communication skills

Collaboration

Business writing

Presentation skills

Machine Learning

Cloud/Gen AI

Education

Bachelor's degree in Statistics/Mathematics/Economics/Engineering/Data Science

Post Graduation in Statistics/Math/Economics/Engineering/Management

Tools

Google Big Query

SQL

Python

Lumi

PySpark

Tableau

Job description

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.