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American Express
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.
Function Description:
The Analytics, Investment Optimization and Marketing Enablement (AIM) team – a part of Global Commercial Services Marketing group within American Express – is the analytical engine that enables the Global Commercial Card & Non-Card business.
How will you make an impact in this role?
This role, based out of Gurugram, will be a part of the AIM team and will be responsible for Global Commercial Middle Market Card Cross sell and engagement analytics. The team specifically focuses on spend engagement analytics via sales channels. The incumbent would be responsible for powering sales channels with intelligent targeting and lead prioritization, building that improve the effectiveness of sales outreach leveraging ML/ AI to devise intelligent solutions. The role requires a strong background in data analytics, and commercial card product knowledge. The position is part of a highly collaborative environment, interacting with and influencing partners across the Global Commercial Service’s business at American Express
Key Responsibilities include:
Drives data driven strategies in commercial customer analytics, cross sell and sales analytics, merchant analytics, and measurement leveraging SQL, python, and other ML tools
Support and enable the Commercial Sales channels with actionable, insightful analytical solutions that drive customer engagement and spend uplift
Partner with functional leaders, Strategic Business Partners and Senior leaders to assess and identify opportunities for better customer engagement, and revenue growth
Leverage strong statistical techniques to analyze customer behavior, sales performance, and channel engagement. Identify patterns, trends, and key drivers to enhance targeting and outreach strategies
Excellent communication skills with the ability to engage, influence, and encourage partners and collaborators to drive collaboration and alignment
Exceptional execution skills – be able to resolve issues, find opportunities, and define success metrics and make things happen. Drive Automation and ongoing refinement of analytical frameworks
Willingness to challenge the status quo; breakthrough thinking to generate insights, alternatives and opportunities for business success
Qualifications
Degree or equivalent experience in quantitative field (e.g. Finance, Engineering, Mathematics, Computer Science or Economics)
Strong statistical and analytical skills with the ability to apply both quantitative methods and business skills to create insights and drive results
Ability to work independently and across a matrix organization partnering with business partners, functional owners, capabilities, and technology teams
Strong programming skills and technical knowledge in SQL, Python are preferred. Experience with Big Data programming is a plus
Ability to prioritize and manage several concurrent projects through collaboration across teams/geographies
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:
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
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