Data Modeler- Data Coding

As a Data Modeler, you will be responsible for analyzing and translating business needs into long-term solution data models. You will also evaluate existing data systems and work with the development team to create conceptual data models and data flows. Your extensive experience in the US Healthcare domain will be a valuable asset in this role. Key Responsibilities: - Developing best practices for data coding to ensure consistency within the system. - Reviewing modifications of existing systems for cross-compatibility. - Implementing data strategies and developing physical data models. - Updating and optimizing local and metadata models. - Evaluating implemented data systems for variances, discrepancies, and efficiency. - Troubleshooting and optimizing data systems. Qualifications Required: - Strong experience in data modeling and analysis. - Proficiency in working with the US Healthcare domain. - Excellent problem-solving skills and attention to detail. In this role, you will play a crucial part in ensuring data integrity and efficiency within the organization. As a Data Modeler, you will be responsible for analyzing and translating business needs into long-term solution data models. You will also evaluate existing data systems and work with the development team to create conceptual data models and data flows. Your extensive experience in the US Healthcare domain will be a valuable asset in this role. Key Responsibilities: - Developing best practices for data coding to ensure consistency within the system. - Reviewing modifications of existing systems for cross-compatibility. - Implementing data strategies and developing physical data models. - Updating and optimizing local and metadata models. - Evaluating implemented data systems for variances, discrepancies, and efficiency. - Troubleshooting and optimizing data systems. Qualifications Required: - Strong experience in data modeling and analysis. - Proficiency in working with the US Healthcare domain. - Excellent problem-solving skills and attention to detail. In this role, you will play a crucial part in ensuring data integrity and efficiency within the organization.