Job
Description
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? 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. This role, based out of Gurugram, will be a part of the AIM team and will be responsible for Global Commercial Card Product Analytics. The team specifically focus on portfolio, campaign measurements and commercial product analytics and partner closely with GCS product teams. The incumbent would be responsible for customer behavior, product enhancements, portfolio analytics, measuring the impact of various marketing treatments, reporting results to leadership and providing strategic analytical support. The role requires a strong background in data analytics, 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. Responsibilities: Support and enable the business partners with campaign measurements, ROI analysis and actionable data driven insights. Portfolio analytics to identify trends, composition, leading indicators, and outlook. Support and enable the GCS product partners with actionable, insightful analytical solutions to help the leadership team evaluate and drive business performance. Accurate, timely and efficient delivery of monthly results reporting for marketing leadership. Excellent communication skills with the ability to engage, influence, and inspire partners and stakeholders to drive collaboration and alignment. Exceptional execution skills be able to resolve issues, identify 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 Minimum Qualifications Degree in a quantitative field (e.g. Finance, Engineering, Mathematics, Computer Science or Economics). Strong technical (SQL, Python) and analytical skills with the ability to apply both quantitative methods and business skills to create insights and drive results. Preferred Qualifications Ability to work independently and across a matrix organization partnering with business partners, functional owners, capabilities, technology teams and external vendors. Experience with BI tools like Excel, Tableau, Power BI is preferred. Experience with Big Data programming is a plus. Ability to prioritize and manage several concurrent projects through collaboration across teams/geographies. :
