Senior Analyst-Data Science
American Express · Posted Oct 8
Banking, credit card, payment network, and travel services
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About the role
The Analytics (AIM) team, part of Global Commercial Services, is the analytical engine that enables the Global Commercial Card business, driving profitable growth in Acquisitions through Data, Analytics, and AI-powered Targeting & Personalization capabilities. This role supports the analytics for US Customer Analytics across sales channels, performing strategic analyses, synthesizing conclusions, and communicating recommendations to partners to drive revenue through customer acquisitions and expansion. The position requires a strong background in data analytics, machine learning, and commercial card knowledge, working in a highly collaborative environment across the Global Commercial Services business.
What you will do
- Support Data Driven Strategy: Conduct analysis to evaluate marketing and sales performance, identify customer trends, and uncover opportunities for growth
- Deliver actionable insights: Translate complex data into clear recommendations for senior leadership and functional partners, supporting decision-making on customer engagement, product performance, and revenue outcomes
- Enable cross-functional decision-making: Effectively engage and deliver results in collaboration with key partners including the functional channel owners, the business partners and end-users of analytical solutions and technology partners
- Influence and storytelling: Communicate insights in a compelling way, shaping strategic narratives that drive alignment among cross-functional stakeholders and senior leaders
- Champion Innovation: Bring forward new ideas and experiment and apply emerging Gen AI capabilities to solve business problems and Amex use cases
Skills used in this role
What the employer is looking for
- Experience of 2-4 years with minimum Bachelor's degree in a quantitative field (e.g. Statistics, Engineering, Mathematics and Economics).
- Strong technical and analytical skills with the ability to apply both quantitative methods and business skills to create insights and drive results
- Ability to work independently and across a matrix organization partnering with business partners, functional owners, capabilities, technology teams and external vendors
- Strong programming (SQL and Python) skills with experience in Machine Learning and Data Science
- Experience in applying emerging GenAI capabilities to business problems
- Ability to prioritize and manage several concurrent projects through collaboration across teams/geographies
Preferred qualifications
- Experience in Advanced GenAI techniques, marketing/acquisition analytics/data science; relevant industry experience preferred
- Master's degree
Benefits and support
- 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
About American Express
American Express Company is a globally recognized multinational financial services corporation specializing in payment cards, travel-related services, and network banking. Founded in 1850, the company provides charge and credit cards, expense management products, and merchant services to consumers, small businesses, and large corporations worldwide. It operates a proprietary payments network known for its premium customer engagement and lifestyle rewards programs.
- Industry
- Banking
- Company size
- 76800 employees
- Founded
- 1850-03-18
- Location
- New York City, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Chief Information Officer and Executive Vice President
Chief Colleague Experience Officer
Chief Marketing Officer
Recent coverage
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