Why This Role Stands Out
This hybrid role offers a fantastic opportunity to shape enterprise data architecture and directly impact analytics and reporting initiatives. You'll thrive here if you possess extensive experience in data modeling and enjoy collaborating with diverse teams to drive data-driven insights, so consider applying to contribute your expertise.
Quick Overview
Job Description
This is primarily a Data Modeler position focused on designing, developing, and maintaining enterprise data models to support analytics and reporting needs. In addition, the resource will serve as backup support for OBIEE and ETL processes, assisting with troubleshooting, production support, and issue resolution as needed.
Responsibilities:
- Perform data analysis of current and future systems to support ongoing and future data needs.
- Collaborate with customers, vendors, and technical teams to gather requirements and prioritize reporting needs.
- Design and maintain enterprise data architecture, including conceptual, logical, and physical data models.
- Define and enforce data standards, naming conventions, governance practices, and ensure data quality and consistency.
- Develop and maintain documentation of business processes, workflows, and data flows.
- Optimize ETL processes and mappings for data migration.
- Design and support reporting solutions, including dashboards, aligned with end-user requirements.
- Monitor and optimize database performance through query tuning and indexing.
- Implement and maintain database security, access controls, and auditing.
- Evaluate implementation strategies, identify risks and issues, and support resolution planning.
- Provide technical guidance, conduct design reviews, mentor team members, and support release planning.
- Facilitate and document meetings, support reporting development discussions, and ensure proper tracking of outcomes.
Requirements:
- 84 Months Experience developing and maintaining logical and physical dimensional data models in enterprise data warehouse and business intelligence environments.
- 84 Months Experience using data modeling tools (e.g., Erwin) for data model design and documentation.
- 84 Months Experience in relational data management, database design, and development using Oracle technologies.
- 72 months of experience supporting healthcare analytics environments, including maintenance of OBIEE reporting solutions and ETL processes.
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