We are looking for a skilled Data Modeler II to join our team on a contract basis in Philadelphia, Pennsylvania. In this role, you will play a pivotal part in designing and analyzing logical database structures, ensuring seamless data flow across systems and business processes. If you have a passion for transforming business requirements into efficient data models and improving data usage, this position offers an excellent opportunity to showcase your expertise.<br><br>Responsibilities:<br>• Analyze and develop complex logical database designs and data models to support corporate and customer information systems.<br>• Collaborate with stakeholders to understand business requirements and translate them into effective logical data structures.<br>• Identify and resolve issues related to data flow and content across various systems and business functions.<br>• Evaluate opportunities to reduce data redundancy while ensuring single sources of truth for critical information.<br>• Utilize methodologies and technologies to depict data movement and interactions within and between systems.<br>• Conduct in-depth data analysis to identify trends and optimize data usage across the organization.<br>• Develop and maintain relational database designs that align with organizational goals and computing environments.<br>• Ensure compliance with best practices in data modeling and support for database management systems.<br>• Provide insights and recommendations to improve data integration and overall system performance.

• Bachelor’s degree in Computer Science, Information Systems, or a related field; equivalent work experience may be considered.<br>• 3-6 years of experience in data modeling, data analysis, and relational database design.<br>• Strong understanding of methodologies for analyzing data flow within systems and business operations.<br>• Experience in transforming business requirements into logical data models.<br>• Proficiency in database management systems (DBMS) and relational database design.<br>• Solid knowledge of computing environments and their impact on data architecture.<br>• Ability to identify and address data redundancy and optimize data usage.<br>• Strong analytical and problem-solving skills with attention to detail.

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