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# Senior Manager - Data Analytics

- **Company:** American Express Company
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $123,000.0 - $215,250.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Data Mining, Python (Programming Language), Machine Learning, Performance Tuning, SQL Databases, Data Analytics
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=30a08f2fbc16516d

## About the Role

* Bachelor's degree required and Master's degree preferred in the following areas: Analytics, Business Administration, Statistics, Mathematics, Physics, Engineering, Data Science, Quantitative Economics, or related quantitative fields.
 * 3 plus years professional experience driving performance optimization through the application of advanced decision sciences.
 * Strong hands-on expertise using big data programming languages to manipulate large-scale datasets and perform statistical analysis (e.g. SQL, Python, and Big Data analytic techniques).
 * A good balance of technical knowledge and business acumen with a proven track record of driving innovation and business metrics with a customer-first mindset.
 * Ability to understand data and synthesize it into real-world meaning., * Strong critical thinking abilities and analytical skills, with an innovative approach to solving practical problems.
 * Superior strategic thought leadership.
 * Demonstrated ability to provide insight and accurate judgment in addressing and resolving business challenges and opportunities.
 * Sound knowledge of Machine learning algorithms, statistics, data mining, regression, and research methods.
 * Good understanding of card economics with proven success in driving business results via strategic analysis.
 * Exceptional verbal, written, and interpersonal communication skills - enjoys working as part of a larger team and fostering relationships.

## Description

* Help deliver world class credit card products and influence value proposition and membership strategy through data analytics.
 * Use advanced analytics to study customer behavior and deliver actionable recommendations for strategic decision making.
 * Communicate insights to U.S. Consumer Card leadership team and cross-functional partners to shape Co-Brand portfolio strategy.
 * Develop strong relationships with internal partners to understand and help frame key business problems.


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