Job Details

Description

You Lead the Way. We’ve Got Your Back.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you’ll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

Join Team Amex and let's lead the way together.

The U.S. Consumer Services Team is responsible for our suite of consumer products, services, and experiences in the U.S., including our premium, cobrand, cash back, and lending portfolios. The USCS team is focused on making membership an indisputable competitive advantage and helping each other become better leaders every day.

The U.S. Cobrand Product Analytics team within USCS is a key function that informs and drives product strategy and customer experience through data driven insights. This team is at the core of producing outstanding statistical methodologies and techniques to better understand customer level economics and behavioral trends for Cobrand card products.

The Senior Manager of Cobrand Product Data Analytics is responsible for leading analytical projects to support and inform the U.S. Consumer Cobrand Product strategy and product refreshes. As a partner to the entire Co-Brand team, this is a great opportunity to gain exposure to portfolio management and strategic initiatives. The role will work cross functionally across several groups including Product Management, Marketing, Finance, and Analytics to inform business insights and drive strategies through data analytics.

Responsibilities:

• Leverage complex data sources to extract meaningful insights used to deliver actionable recommendations for strategic decision making.

• Manage ad-hoc projects and partner closely with Product, Marketing, Finance, Analytics, etc. to identify opportunity areas and deliver analytical solutions.

• Communicate analytics-based insights to U.S. Consumer Card leadership team and cross-functional partners to shape Co-Brand portfolio strategy.

• Structure both internal and external data efficiently to analyze trends, develop segmentations, and evaluate customer profiles.

• Develop strong relationships with internal partners to understand and help frame key business problems.

Critical Factors to Success:

• Experience in manipulating and extracting insights from large and complex datasets.

• Strong critical thinking abilities and analytical skills to provide insights in addressing and resolving business challenges and opportunities.

• Good understanding of card economics with proven success in driving business results via strategic analysis.

• Good quantitative skills with a solid understanding of probability and statistics.

• Sound knowledge of Machine learning algorithms / statistics / data mining / regression and research methods.

• Strong programming skills in SQL/BigQuery; experience with an analytical language (Python, R or the equivalent) is a plus.

• Exceptional verbal, written, and interpersonal communication skills – enjoys working as part of a larger team and fostering relationships.

Minimum Qualifications:

• 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.

Qualifications

Salary Range: $90,000.00 to $165,000.00 annually bonus benefits

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

• Competitive base salaries

• Bonus incentives

• 6% Company Match on retirement savings plan

• Free financial coaching and financial well-being support

• Comprehensive medical, dental, vision, life insurance, and disability benefits

• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need

• 20 weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy

• 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

For a full list of Team Amex benefits, visit our Colleague Benefits Site .

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

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Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.

Job: Data Mgmt and Analytics

Primary Location: US-New York-New York

Schedule Full-time

Req ID: 25008267