Data Modeler

Title:??????????????????? Data ModelerLocation:??????????? Landisville, PA areaDuration:??????????? 6 Months Contract to HireInterview:?????????? Must be local to the Lancaster area as a face to face interview is required.?Responsible for data modeling and source to target mapping for database development projects, design and user support for business intelligence implementation, design and ownership of the corporate data architecture and related standards, design and maintenance of reference and master data management initiatives, implementation of a comprehensive data quality program, establishment of meta data management policies and procedures, and development and enforcement of data management standards and controls.Data Analysts will work on a broad range of data governance projects.????Data Analysts will work on a broad range of data governance projects. Providing detailed data modeling and design for all data oriented development projects. Design the logical and physical data models and maintain documentation. Conduct source to target analysis and mapping and maintain documentation. Create and update data dictionary. Participate in acceptance testing as required?Designing and managing implementation of reference data and master data programs. Define and maintain Match rules, Data cleansing rules, Hierarchies and affiliations, Golden records. Manage changes to reference and master data by identifying sources and contributors and establishing processes for managed change.????????????Developing and implementing a comprehensive data quality program. Establish a data stewardship structure across business units and Information Technology. Train, coach and support data stewards. Profile, analyze and assess data quality problems. Determine root cause of data quality issues. Design and execute remediation plans, working with data stewards. Define data quality metrics and business rules. Continuously measure and monitor data quality. Clean and correct systemic data quality defects. Design and implement operational data quality procedures, then monitor performance.???Establishing metadata management policies and procedures. Develop, maintain and enforce standards. Implement and maintain metadata tools. Manage metadata repositories. Create and manage widely accessible data dictionaries. Enforce policies and processes needed to improve and maintain the quality and ownership of data including data owners, stewards and administrators.???????Develop and implement data management controls. Develop and monitor conformance with data standards, policies and procedures. Manage and resolve data related issues and conflicts. Monitor and ensure regulatory compliance. Establish and monitor documentation standards and repositories.Defining the corporate data architecture and related standards. Data integration architecture. Data warehouse and business intelligence architecture. Taxonomies and namespaces. Data modeling tools and standards. Metadata standards and requirements.???? - provided by Dice
Data Models, Metadata, ETL, QAT, Data Mapping, ERwin, Informatica, SAP, Syncsort, Talend

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