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Manager - Commercial Card Product Analytics
American Express
Wrentham, MA, United States
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American Express is a global services company and the world’s largest card issuer. Our direct relationships with many millions of consumers, businesses and merchants worldwide - combined with our leading edge marketing, information management and rewards capabilities - enable us to offer an array of valuable services that enrich lives, build business success, encourage financial responsibility and create communities of people with common interests.
American Express for 9th consecutive year has been voted among India’s top 10 workplaces by the Great Place to Work institute. In recognition of our consistent performance, we were nominated to the Great Place to Work “Hall of Fame”.
At American Express, we serve customers, not transactions. We’re widely known for providing superior customer service and have been recognized for a number of achievements including being ranked highest in customer satisfaction within the credit card industry by J.D. Power for seven consecutive years.
A career at American Express is rich in experience and offers opportunities to build lasting relationships with our customers.
Come join us and realize your potential.
Growing commercial lending is a top priority for American Express, especially as the company mobilizes to capitalize on key growth opportunities.
• The commercial card product analytics team will play a critical role in formulating data driven insights to drive product innovation, improve feature relevance and deepen relationships with customers.
• The candidate will leverage big data capabilities, advanced analytical techniques and statistical modeling to glean customer insights, develop innovative strategies to drive revenue growth and improve cost base.
Qualifications
• Strong analytic background
• Knowledge of commercial card products
• Strategic thinking and problem solving
• Demonstrated ability to drive results
• Exceptional written and verbal communication skills
• Project management skills and relationship management skills
• Experience with advanced statistical modeling techniques
• Proficiency & experience in using data manipulation & statistical analysis tools (Python, Hive, R, SQL, SAS, etc.)