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

About the Team and Role

The Analytics, Investment & Marketing Enablement (AIM) Team – a part of Global Commercial Services Marketing (GCSM) – is the analytical engine that enables American Express’ Global Commercial Business. The team drives profitable growth in acquisitions through Data, Analytics, AI-powered Targeting & Personalization Capabilities.

This B30 Analyst role will be based out of Gurgaon, India, and will be part of the Commercial Prospect Direct Mail Analytics team within AIM.

They will be responsible to profitably drive growth in commercial acquisition and charge volume through the Direct Mail channel, using advanced analytics, disciplined test & learn, and effective partnership across the Blue Box. This role will require close collaboration with key partners across Marketing, Decision Science, Capabilities, Finance, GIO, and CFR teams.

How will you make an impact in this role?

1.   Define, Design, Build, and Implement analytical solutions required throughout the life cycle of a Direct Mail campaign, starting from lead generation to product selection to performance measurement.

2.   Build data segmentation & optimization strategies for targeting profitable prospects with the right product & incentive through Direct Mail.

3.   Collaborate with Marketing teams on disciplined test & learn strategy, and various initiatives including setting goals & forecasts for the channel, influencing data-driven strategy changes, personalization, etc.

4.   Collaborate with Decision Science and Capabilities to manage, guide and build analytical solutions and models to improve targeting efficiency through Direct Mail.

5.   Partner closely with cross-functional teams across Marketing, Decision Science, Capabilities, Finance, GIO, and CFR to achieve program objectives.

Minimum Qualifications

1.   Advanced degree in a quantitative field (e.g. Finance, Engineering, Mathematics, Computer Science)

2.   Strong programming skills are preferred. Some experience with Big Data programming languages (Hive, Spark), Python, SQL.

3.   Experience in large data processing and handling, understanding in data science is a plus.

4.   Ability to work in a dynamic, cross-functional environment, with strong attention to detail.

5.   Excellent communication skills with the ability to engage, influence, and encourage partners to drive collaboration and alignment.

Preferred Qualifications

1.   Strong analytical/conceptual thinking competence to solve unstructured and complex business problems and articulate key findings to senior leaders/partners in a succinct and concise manner.

2.   Basic knowledge of statistical techniques like hypothesis testing, regression, t-test, chi-square test.

 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