American Express Manager/Senior Manager-Data Science & Analytics in Topeka, Kansas
Global Merchant Services (GMS) Marketing & Analytics is dedicated to bringing buyers and sellers together and transforming how American Express is welcomed. GMS Marketing & Analytics is responsible for partnering with GMS markets to drive profitable growth, accelerate Merchant acceptance and enhance the value of Amex acceptance to Merchants and Card Members at scale. We focus on enhancing our relationships with millions of Merchants of all shapes and sizes, and our geographic purview includes many commerce hubs across the globe including the U.S, Canada, Latin America, the Caribbean, Europe and the Asia-Pacific region.
This opportunity is on the Global Marketing Effectiveness team, responsible for analytics including customer segmentation, digital behavior profiling, and marketing campaign performance deep dives in support of the Digital Offers Ecosystem (DOE).The DOE provides merchants with a platform to directly engage American Express cardmembers, providing value to our customers while increasing spend and loyalty for the merchant. The team and its customers are globally situated, with a broad remit and a critical analytics resource for teams all over the world.
About the role
This opportunity can be considered virtually across the US or New York City based. This role supports DOE analytics to drive strategic decision-making via advanced analytics and modeling, disciplined test & learn, and performance measurement. We deliver high-calibre analytic thought-leadership and deep expertise in exploratory analytics to drive the growth of merchant-funded card member value to deliver thousands of relevant offers to card members through the Amex Offers digital ecosystem.
The Manager/Senior Manager will help dissect the digital offer ecosystem to reveal relevant customer behaviors and resolve the contribution of different campaign features to overall performance. In addition, the Manager/Senior Manager will take existing insights to define new areas of inquiry and explore novel questions to discover overlooked opportunities. Taken together, these efforts will inform actionable strategies to optimize the ecosystem.
Build upon existing models to predict campaign performance, estimate feature impact on outcome, and help develop automated solutions for Amex Offers
Provide thought leadership on analytical frameworks, code and data sharing, and efficient collaboration within a globally-situated team
Develop and maintain a close partnership with GMNS Marketing, Consumer Marketing and Amex Offers product teams
Setting the strategic tone by assessing business needs and developing relevant analytical solutions, including robust test & learn methods
Establishing prioritization principles and managing an analytic engagement pipeline for a variety of customers
Voraciously consuming & actioning customer feedback to continue enhancing our core focus and identifying unexplored analytical spaces
Flexibly and capably managing urgent requests for senior leadership updates as needed
Partnering with our own team in US, UK, and India to bring best practices and analytic frameworks/products across the global markets
Expert analytics: Thoughtful application of a variety of analytical approaches and delivery of clear & powerful insights and recommendations for partners with keen attention to details. All quantitative fields considered.
A consultative mindset: The ability to think strategically & align analytical efforts to business goals, articulate business problems from the customer's perspective, cut through noise to diagnose core needs, establish testable hypotheses, and bring partners along for the journey
Excellent knowledge of, and experience with, SQL and Python
Demonstrated experience with supervised learning, including feature exploration, data preprocessing, and common pitfalls
Ability to establish prioritization principles and rules of engagement in order to manage high demand and/or conflicting priorities. Comfort with adjusting quickly to shifting priorities, multiple demands, and ambiguity
Success building strong relationships, credibility, and influence at multiple band levels.
Advanced degree in a quantitative field (e.g. Statistics, Engineering, or Economics) or MBA with rigorous Analytics focus preferred. Job experience with 3 years independently working hands-on and developing expertise with large data, developing programming language fluency, and applying a variety of statistical methods (e.g. test design, supervised & unsupervised learning, time series/forecasting, optimization) will be considered as a substitute for education.
Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.
At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly redefining what’s possible — and we’re proud to back each other every step of the way. When you join #TeamAmex, you become part of a diverse community of over 60,000 colleagues, all with a common goal to deliver an exceptional customer experience every day. 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.
Currently, the Company requires that colleagues be fully vaccinated against COVID-19 in order to work in or visit any of our US and Canada offices, subject to legally required accommodations. If the role you are applying for is designated as hybrid or onsite, you will be required to visit our offices
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, age, or any other status protected by law.
Job: Customer Infomation Management
Primary Location: United States
Other Locations: US-New York-New York
Req ID: 22000458