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The Global Strategy, Enablement and Control (GSEC), Colleague MIS & Analytics team is seeking a programmer to support the Conduct Risk MIS Team. The Conduct Risk MIS team leverages internal systems and capabilities to monitor sales misconduct and other conduct risk across the GSEC business.
This teams play a key role in establishing controls to promote safe and sound business practices across our global servicing sites and with ensuring adherence with internal policies and American Express’ Blue Box Values.
The team also monitors for colleague mistreatment from customers.
The programmer will have the responsibility of analyzing large data sets (structured or unstructured) and identifying outliers and exceptions. The programmer will then translate this knowledge into easy to follow-reports based on requirements set by our customers.
Key Responsibilities include:
· Quickly understanding new business units, departments, and processes
· Quickly familiarizing self with table structures and data elements
· Querying data warehouses utilizing SQL, HQL, and other languages
· Helping analyze queried data for trends and outliers
· Creating logic to systematically flag outliers and exceptions
· Creating reporting to display outliers and exceptions in a user-friendly format
Qualifications:
· Experience in utilizing SQL, HQL, Big Query and other programming languages
· Strong quantitative, data visualization, and reporting skills
· Ability to quickly learn and analyze new data sets, new processes, and new metrics
· Entrepreneurial, resourceful, and innovative, with the ability to look at new ways to solve old problems
· Strong attention to detail
· Self-starter with a strong affinity for driving change
· Demonstrated decision-making skill and ability
· Demonstrated thought leadership skills and ability to develop winning strategies
· Ability to maintain composure and work effectively under pressure and with changing or competing priorities
Preferred Qualifications:
· Experience working in contact center environment, with knowledge of associated metrics and incentives
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