American Express

Analyst-Data Analytics

Posted On

Feb. 9, 2026

Location

Gurugram, Haryana

Experience Level

Freshers/Experienced

Job Type

Permanent

Apply By

March 8, 2026

Job Description

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 this 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.

How will you make an impact in this role?

Responsible for contacting clients with overdue accounts to secure the settlement of the account. Also they
do preventive work to avoid future overdues with accounts that have a high exposure.
Responsibilities
• Support analytics for offer strategy, personalization (PZN), CMV, and lending/growth treatments
(Loans, Line, Pricing).
• Leverage closed-loop Amex data to improve targeting, arbitration, and decisioning.
• Conduct CMV, performance, and Test & Learn analyses to inform marketing and growth decisions.
• Build and maintain dashboards and analytical outputs; synthesize insights for business partners.
• Partner with Marketing, Decision Science, Finance, and Technology teams to support execution and
optimization.
Critical Factors to Success
• Business Outcomes
• Apply and support Customer Value Metrics (CMV / iCMV) across offers and lending.
• Enable data-driven targeting and segmentation decisions.
• Support measurement and experimentation to assess campaign effectiveness.
• Contribute to analytics that drive engagement, retention, and growth.
• Leadership Outcomes
• Demonstrate enterprise mindset, learning agility, and analytical curiosity.
• Communicate insights clearly and operate with integrity and a digital mindset.
Experience
• 1–2 years of experience in analytics, marketing analytics, decision science, or a related quantitative
role.
Education
• Bachelor’s degree in Statistics, Mathematics, Economics, Engineering, or a related field (advanced
degree a plus).
Technical / Functional Skills
• Proficiency in SQL, Python, and PySpark; exposure to BigQuery preferred.
• Familiarity with A/B testing and basic experimentation concepts.
• Exposure to machine learning techniques (e.g., regression, trees, clustering).
• Familiarity with GenAI tools for analysis and productivity; agentic AI exposure is a plus.
• Experience working in big-data / cloud environments

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.

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