Manager -Data Analytics

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? With a focus on digitization, innovation, and analytics, the Enterprise Digital and Data Solutions (EDDS) team creates central, scalable platforms and customer experiences to help markets across all of these priorities. Charter is to drive scale for the business and accelerate innovation for both immediate impact as we'll as long-term transformation of our business. A unique aspect of EDDS is the integration of diverse skills across all its remit. EDDS has a very broad range of responsibilities, resulting in a broad range of initiatives around the world. The American Express Enterprise Digital Experimentation & Analytics (EDEA) leads the Enterprise Product Analytics and Experimentation charter for Brand & Performance Marketing and Digital Acquisition & Membership experiences as we'll as Enterprise Platforms. The focus of this collaborative team is to drive growth by enabling efficiencies in paid performance channels & evolve our digital experiences with actionable insights & analytics. The team specializes in using data around digital product usage to drive improvements in the acquisition customer experience to deliver higher satisfaction and business value. Purpose of the Role: This role will report to the Director of Marketing Optimization Capabilities Analytics (MOCA) team within Enterprise Digital Experimentation & Analytics (EDEA) and will be based in Gurugram, India. The candidate will be responsible for leading the efforts on data strategy for Media Mix Model (MOCA) working with product and data science teams to develop advanced analytical solutions to media measurement problems, and address needs around implementation and use by partner finance and data teams and for delivery of highly impactful analytics to optimize the performance of Media marketing channels through the application of insights from MOCA models Responsibilities: Working with Data Science to define different model structures and approaches to measuring media impact Partnering with MOCA Product teams to develop and maintain products for data aggregation, simulation and scenario planning Lead a team of 4 to collate data needed for MOCA models across multiple markets and BUs. Perform trend analysis & work with marketing partners to lay out business context for the models Work with an external data aggregator to automate data pipes for MOCA Lead the efforts on model documentation for MOCA model certification Minimum Qualifications: Advanced degree in a quantitative field (eg Finance, Engineering, Mathematics, Computer Science) Strong programming skills are preferred. Some experience with Big Data programming languages (Hive, Spark), Python, SQL. Experience in large data processing and handling, understanding in data science is a plus. Ability to work in a dynamic, cross-functional environment, with strong attention to detail. Excellent communication skills with the ability to engage, influence, and encourage partners to drive collaboration and alignment. Preferred Qualifications: Strong analytical/conceptual thinking competence to solve unstructured and complex business problems and articulate key findings to senior leaders/partners in a succinct and concise manner. Basic knowledge of statistical techniques for experimentation & hypothesis testing, regression, t-test, chi-square test. Understanding of Media Mix Models and experience with modeling We back you with benefits that support your holistic we'll-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as we'll as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-we'll-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site we'llness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities