Senior Manager for Payments Data Analytics at FIS analyzing revenue opportunities and presenting insights. Collaborating with technology and data teams to enhance financial services.
About the role
- Data Analyst managing data requirements and integrity for Truist. Collaborating with internal teams to gather, analyze, and maintain business data.
Responsibilities
- Gather, analyze, document and maintain all data requirements related to the business applications, interfaces and reporting environments.
- Apply standards and best practices to ensure the Bank's data is accurate, complete, current, understandable and accessible.
- Work closely with internal clients, business analysts and development project teams to resolve information flow and content issues.
- Gathers, reviews, analyzes, profiles, validates and maps system data into the data warehouse to meet reporting and analytical business needs.
- Performs data analysis and troubleshooting on data-related issues reported by production support and other teams.
- Develops solutions and recommendations for improving data integrity issues. Analyzes data issues and works with development teams for problem resolutions.
- Determines and analyzes line of business requirements, use system data, and provide input needed by various departments and senior management to produce business reports.
- Works with extract, transform and load (ETL) developers to test and validate data attributes and with other business analysts to ensure data is integrated consistently, regardless of the source system.
- Takes ownership of issues through resolution including close coordination between business analysts.
Requirements
- Bachelor's degree in information technology, information systems, computer science or business-related field
- Four years of experience in a role of data analysis, statistical analysis, data transformation, data reconciliation and/or sophisticated data presentation or equivalent education and related training or experience
- Familiar with ETL Development using standard tools
- Working knowledge of Enterprise Data Warehouse concepts and experience applying that understanding to query data in a Very Large Database (VLDB) environment
- Familiarity in using a query analysis tool
Benefits
- Medical
- Dental
- Vision
- Life insurance
- Disability
- Accidental death and dismemberment
- Tax-preferred savings accounts
- 401k plan
- 10 days of vacation
- 10 sick days
- Paid holidays
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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