Data Modeler
4 days ago
Collabera is seeking a skilled Data Modeler to join our team. As a Data Modeler, you will be responsible for developing methods to identify data patterns and trends in available data sources, performing data quality analytics, and identifying data challenges. You will contribute to Data Quality resolution strategies and practices, assist in data improvement initiatives in compliance with Clients Data Governance Policy, and assist in the remediation of Audit and Regulatory feedback on issues and concerns. You will report Data Quality issues through Client corresponding Data/Issue management process, and/or coordinate efforts for Data consumption demand and Data requirement from strategic data repositories. You will liaise with other areas of the firm to understand data challenges and solutions, support identification of data quality rules, thresholds, and other business requirements, perform financial reconciliation, and measure Data Quality to drive data quality resolution. You will define and formulate business requirements documents that contribute to resolve Data Quality issues, lead project management activities, and support senior management strategic vision.
Requirements
5-8+ years of experience with defining and implementing Data Quality programs, strong analytical skills and attention to detail, strong project management skills, and proficiency in using data management and analysis tools including basic MS applications (Word, Excel, PowerPoint). You should have working knowledge of Collibra and other Data Governance industry standard tools, proficiency in System Query Language (SQL) and Python, working knowledge of Tableau (report consumer, JIRA, etc.), demonstrated understanding of Database structures, and proven ability to provide in-depth and sophisticated analysis with interpretive thinking to define problems and develop innovative solutions. You should also be able to anticipate and balance the needs of multiple stakeholders, while monitoring tight deadlines or unexpected requirement changes, communicate effectively in non-technical terms at all levels of the organization, and collaborate effectively by building partnerships and working well with others to meet shared objectives.
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