Manager-Data Analytics

American Express•New York, NY

About The Position

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. 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 well 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 well 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 developing 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

Requirements

Advanced degree in a quantitative field (e.g. 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.

Nice To Haves

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

Responsibilities

Working with Data Science to define different model structures and approaches to measuring media impact
Profitability and media optimization analysis, scenario planning
Develop channel investment recommendations
Present results of complex analytical problems to business partners

Benefits

Competitive base salaries
Bonus incentives
6%25 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