Business Analyst

Short Description

This is an exciting opportunity for someone to step into a very challenging role. He / She will drive improvements in generating data driven actionable strategies to enable business growth initiatives.

Job Description

The Customer Marketing Digital Personalization Team within the Integrated Marketing Solutions (IMS) organization is responsible for developing, innovating and integrating information driven marketing analytics and capabilities for the American Express Card Business (GCSG). In particular, the team will lead the development of an offer relevance framework for the existing customer portfolio. This will involve exhibiting a high level of expertise in guiding the data strategy through statistical analysis, decision support logic and data techniques. Within this group, we are looking for a band 30 Business Analyst for Digital Personalization Analytics Team. This is an exciting opportunity for someone to step into a very challenging role. He / She will drive improvements in generating data driven actionable strategies to enable business growth initiatives.

Key Focus Areas Will Include
  • Development of analytical infrastructure to improve relevance of customer marketing by identifying the right offers for each card member
  • Leverage the power of closed loop through Amex network to make offer targeting more intelligent and relevant (trigger marketing)
  • Innovation with focus on developing newer and better approaches using big data & machine learning solutions.
  • The individual is expected to create holistic recommendation by pulling data from different data sources and make effective and persuasive presentations for project teams and business leaders. He/She will work directly with central marketing teams to drive above strategies. The successful candidate is expected to stay current in their field and up to date with the latest business statistics, algorithms and data mining practices. Should also have an understanding and passion for trends in digital marketing, social, location and mobile based marketing efforts

This role may be subject to additional background verification checks.

Qualifications
  • Master's Degree In Economics, Statistics, Quantitative Analysis Or MBA With Quantitative Specialization and 1 -3 years of analytical/econometric experience.
  • Knowledge and experience of Statistical and analytical techniques is preferred. Competency in standard data mining and customer segmentation techniques is also desirable e.g. Decision trees, Clustering or Neural Networks
  • Exposure to analysis / modeling of digital data is a plus.
  • Practical coding experience with statistical analysis programming languages such as SAS and Python / R. Knowledge/Exposure to Big data is again a plus.
  • Prior experience in online commerce analytics/marketing is preferred

Business Analyst
Associate Financial Services | Computer Full-time Information Technology Python
American Express is a global service company, providing customers with exceptional access to products, insights and experiences that enrich lives and build business success.

Each day, American Express makes it easier, safer and more rewarding for consumers and businesses to purchase the things they need and for merchants to sell their goods and services. An engine of commerce, American Express provides innovative payment, travel and expense management solutions for individuals and businesses of all sizes. Most of all, we help our customers realize their dreams and aspirations through industry-leading benefits, access to unique experiences, business-building insights, and global customer care. We enable our customers to do and achieve more.