U.S. Bank Data Integration Mapping Analyst in Lansing, Michigan
U.S. Bank Data Integration is seeking a motivated Analyst with strong technical skills and experience in data translation coding. Responsible for reviewing and interpreting translation requirements and coding a map to meet those requirements. Must have strong communication and collaboration skills to work with the requirements author to ensure proper coding. Previous technical experience in data translation is preferred. Project Management and Managerial experience a plus, but not critical for this role.
Participates in designing, coding, modifying, testing, debugging, implementing, and documenting translation requests of moderate complexity, significance, and risk.
Creates and executes performance tests to ensure that expected translation performance levels are achieved.
Contributes, and at times, collaborates with clients and technical staff to investigate, analyze, and resolve technical problems related to system functions, programming, and procedures.
Your Career is Here.
Bachelor's or Master's degree, or equivalent work experience
Eight to ten years of experience in project management activities
Three or more years of managerial experience
Experience in webMethods development or other data translation applications using Java/J2EE
Considerable technical knowledge of assigned business line or functional area, including payment channels
Strong organizational and analytical skills
Thorough knowledge of data translation
Ability to identify and resolve exceptions and to analyze data
Demonstrated leadership skills
-Using financial standards including SWIFT, NACHA, ANSI/ISO are a plus
Job: Project Management / Analysis
Primary Location: United States
Shift: 1st - Daytime
Average Hours Per Week: 40
Requisition ID: 180027884
U.S. Bank is an Equal Opportunity Employer committed to creating a diverse workforce.
U.S. Bank is an equal opportunity employer committed to creating a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors.