Business Analyst - Data Analytics

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 lets 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?

• 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.
• Build data segmentation & optimization strategies for targeting profitable prospects with the right product & incentive through Direct Mail.
• 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.
• Collaborate with Decision Science and Capabilities to manage, guide and build analytical solutions and models to improve targeting efficiency through Direct Mail.

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

Minimum Qualifications

• Advanced degree in a quantitative field (e.g. Finance, Engineering, Mathematics, Computer Science)
• Strong programming skills are preferred. Some experience with Big Data programming languages (Hive, Spark), Python, SQL.
• Experience in large data processing and handling, understanding in data science is a plus.
• Ability to work in a dynamic, cross-functional environment, with strong attention to detail.
• Excellent communication skills with the ability to engage, influence, and encourage partners to drive collaboration and alignment.
  

Preferred Qualifications

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

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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