Senior Data Science Analyst
American ExpressBuild predictive models that inform American Express decisions across risk, fraud, and marketing. Analyze large datasets to uncover business insights and support profitable customer outcomes.
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American Express is a global financial services company operating across banking, finance, and B2B payments. Its business includes consumer, business, and corporate credit cards; payment and merchant services; savings accounts, certificates of deposit, and personal loans; as well as rewards, travel programs, corporate payment solutions, financial education, security services, and cardmember and merchant support.
Manager, Data Analytics
Lead analytics, performance management, and portfolio strategy for American Express commercial client management. Advise senior leaders on growth, forecasting, and data-informed decisions.
Description
- Partner with G&L Client Management leaders on business priorities, portfolio strategy, and growth plans
- Shape client segments and portfolio strategies to improve coverage, resource allocation, engagement, and growth potential
- Spot growth opportunities, performance gaps, and portfolio trends, then turn findings into practical strategies
- Advance plans for B2B volume growth, T&E competitiveness, and stronger client relationships
- Set performance frameworks, metrics, and scorecards tied to strategic and financial priorities
- Analyze business results, explain the drivers, and recommend actions
- Connect client, market, financial, and sales trends to build forward-looking perspectives
- Lead cross-functional planning, target setting, forecasting, portfolio strategy, and scorecard management
- Create roadmaps and decision frameworks for complex business challenges
- Advise senior leaders and turn complex analysis into clear executive narratives and recommendations
- Lead initiatives across Client Management, Sales, Finance, Product, and other GCS teams
- Build scalable methods for performance measurement, client insights, forecasting, and business decisions
- Expand the use of data, automation, and advanced analytics in strategic decisions
- Coach high-potential talent and help strengthen analytical capabilities
Requirements
- Bachelor’s degree in statistics, economics, mathematics, engineering, finance, or a related quantitative field; an advanced degree is preferred
- At least 5 years of relevant experience in business analytics, strategy, financial modeling, performance management, planning, corporate finance, or a related field
- Experience turning complex data and analysis into strategic recommendations and measurable business results
- Ability to work within complex organizations and influence stakeholders across functions and seniority levels
- Strong experience working with large-scale data and analytical environments
- SQL proficiency is strongly preferred
- Experience with Python, Hive, Tableau, SAS, VBA, and Cornerstone is valuable
- Experience leading, coaching, or developing high-performing talent is preferred
- Successful completion of a background verification check
Benefits
- Competitive base salary
- Bonus incentives
- Support for financial well-being and retirement
- Medical, dental, vision, life insurance, and disability coverage, depending on location
- Flexible hybrid, onsite, or virtual work arrangements, depending on the role and business needs
- Paid parental leave, depending on location
- Complimentary access to global onsite wellness centers staffed by nurses and doctors, depending on location
- Confidential counseling through the Healthy Minds program at no cost
- Career development and training opportunities
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