This position is in the Enterprise Digital & Analytics – US Customer Marketing Analytics and Data Science team and is responsible for expanding and deepening relationships with customers and maximizing profitability for American Express through best-in-class analytics and data science.
In this team, you will have the opportunity to provide critical analytics that drive the core business strategy for inbound channels as well as outbound marketing at American Express. You will perform strategic analyses to identify business opportunities, model customer behaviors to effectively target customers, and perform in-market test & learn to understand the effectiveness of key marketing initiatives throughout the customer lifecycle.
Key responsibilities would be to:
Develop strong relationship with internal marketing partners to understand and help frame key business problems
Build and explore customer datasets to provide context on the business problems being addressed
Conduct strategic analyses or statistical/ML models to inform business decisions and provide actionable recommendations.
Syntheses data visualization for presentation to key stakeholders
Manage BAU campaign targeting, experimental design, results read, etc. across the entire US consumer portfolio
Advanced degree in a Quantitative field with 2+ years of work experience leveraging analytics and data science to drive business results
Strong quantitative skills with a solid understanding of probability and statistics
Expertise in an analytical language (SAS, Python, R, or the equivalent), and experience with databases (Hive, SQL, or the equivalent)
Prior experience working with very large datasets using Big Data tools and platforms (Hadoop, Spark, or the equivalent) or modeling experience is preferred
Demonstrated ability to frame business problems into analytical problem, leverage external thinking and tools to deliver business insights
Self-motivated and ability to work autonomously on multiple projects simultaneously
Strong communications and relationship building skills with an ability to develop and deliver effective presentations
Schedule (Full-Time/Part-Time): Full-time
Date Posted: Feb 13, 2020, 4:35:30 PM