Join the People Helping People Velera is the nation’s premier payments credit union service organization (CUSO) and an integrated fintech solutions provider. The company serves more than 4,000 financial institutions throughout North America, operating with velocity to help our clients keep pace with the rapid momentum of change and fuel growth in the new era of financial services. Our purpose: We accelerate partners’ success through innovative financial technology solutions and inspired service. The Opportunity: The Data Analyst II leads strategic enterprise data warehouse projects and other data quality remediation planning. This position partners closely with business and operation teams. This position will help guide and mentor less experienced and skilled team members and help review the work done by other data analyst. Day in the Life: Help to drive strategic Enterprise Data Warehouse projects. Follow and advise on industry standards and advances on data driven technologies and tools. Analyze data to determine relationships between large datasets. Create complex end-to-end data flow diagrams and logical data models. Develop basic - intermediate SQL scripts for various reporting and ad-hoc analysis. Document data requirements, source to target data mapping, collaboration with technology teams, design, development, testing, and deployments. Document system of record data models and map to business process. Data mapping specification designs, data feed specifications, data analysis and data comparison. Develop and document data remediation requirements and plans. Adhere to Agile principles and philosophies (Scrum or Kanban, as applicable) in fulfillment of the role. Responsible for reporting risks that are identified to the appropriate team and/or management. Additionally, responsible for managing, monitoring and reporting risks within the scope of your work area, to include, but not limited to Information Security risks. Must be detailed focus with the ability to detect patterns and possible solutions from large volumes of data. Mentor less tenured data analysts. Perform other duties as assigned.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees