American Express Careers

Senior Managers, Data Analytics and Insights

Phoenix, Arizona
Digital Commerce Marketing

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Job Description

American Express Travel Related Services seeks Senior Managers, Data Analytics and Insights to work on global data tools and systems to monitor and ensure the integrity and quality of data.  Transform and enhance existing data and system capabilities to ensure best data decision capabilities for the enterprise.  Build analytical platforms to support data discovery, analysis, and business insights.  Leverage best in class analytics and data science principles to identify trends and leverage anomalies in customer behavior.  Work to identify patterns and opportunities from customer data history through data mining techniques to help launch new products and experiences for cardmembers.  Perform data sourcing for reporting and analytics for company’s complete consumer marketing services.


Position requires a Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related STEM field, followed by 5 years of progressively responsible experience with data profiling, data mining, data exploration, and data analysis to obtain business insights.  Experience must include a minimum of: 1 year of experience with web and marketing analytics; 1 year of experience with deriving business analytics from data analysis and presenting findings in non-technical terms to senior leadership for decision-making; 1 year of experience with database management, financial modeling, and project management methodologies, including Agile, Scrum, and Waterfall; 1 year of experience with Big Data concepts, frameworks, analytics applications, and tools, including Hadoop, HBase, HDFS, Hive, MapReduce, and Pig; 1 year of experience with exploring and integrating data with enterprise data discovery and data visualization platforms, including Datameer, Microstrategy, and Tableau; 1 year of experience with ETL tools, including Ab Initio, DataStage, and Informatica; and 1 year of experience with DB2, Oracle, PL/SQL, SAS, SQL, Sybase, Teradata, and Unix.


ReqID: 19013903
Schedule (Full-Time/Part-Time): Full-time
Date Posted: Jul 23, 2019, 2:00:00 AM
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