American Express

Analyst-Risk Management

Posted On

Oct. 21, 2024

Location

Gurugram, Haryana

Experience Level

Freshers/Experienced

Job Type

Permanent

Apply By

Dec. 1, 2024

Job Description

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

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

The Membership Science and Optimization Team focuses on strategy and analytics to boost acquisition and enhance engagement with cardmembers by delivering relevant content through their preferred channels, aiming for profitability and value. As a key driver of U.S. Consumer Marketing growth, the team expands value sources across various channels. Its mission is to increase revenue and maximize marketing ROI by fostering both immediate and long-term business innovation. This team is unique due to its diverse skill set and broad responsibilities, leading to numerous growth initiatives for the US consumer card business.

How will you make an impact in this role?

This role demands expertise in data-driven decision-making, statistical methodologies, and strategic analytics. It's an exciting chance to delve into consumer card marketing and leverage analytics to achieve business goals. The candidate will create actionable, data-driven strategies for business growth, collaborating closely with Product, Marketing, Finance, and other partners. A strong background in data analytics and exceptional quantitative and problem-solving skills are essential.

Minimum Qualifications

Past Experience:

0-1 years of relevant analytics experience.

Academic Background:

Degree in business, economics, statistics, mathematics, engineering or finance combined with a master’s or other secondary professional qualification

Functional Skills/Capabilities:

Strong analytical and problem-solving skills
Strong ability to drive results; self-starter
Strong interpersonal, written and verbal communication skills

Technical Skills/Capabilities:

Experience in programming languages like Hive, SQL, SAS etc

Preferred Qualifications

Proficient in MS Office

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

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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