Owens & Minor is seeking a Data Modeler to design and implement data models that support business processes and drive impactful decision-making.
Requirements
- Strong understanding of relational and dimensional data modeling techniques (e.g., Star Schema, Snowflake Schema, Entity-Relationship Diagrams).
- Expertise in data modeling tools (e.g., Erwin, Microsoft Visio, IBM InfoSphere Data Architect).
- Hands-on experience with data platforms (e.g., Snowflake, AWS, Azure, Google Cloud, SQL, NoSQL).
- Solid understanding of business process modeling and how data models support business objectives.
- Experience with data integration, ETL processes, and data warehousing concepts.
- Knowledge of data governance, data quality, and best practices in data management.
- Prior experience in the healthcare industry is preferred, including understanding of healthcare data models, regulatory requirements (e.g., HIPAA), and industry-specific challenges.
Responsibilities
- Lead Data Model Design: Design and implement logical and physical data models that support business processes and ensure efficient data storage, retrieval, and integration.
- Business Process Understanding: Work closely with business analysts and stakeholders to understand business requirements and translate them into data model designs that optimize business processes.
- Collaboration with Technical Architects: Partner with technical architects to ensure that data model designs are aligned with platform architecture, security standards, and scalability requirements.
- Data Governance: Ensure data models are compliant with data governance policies, ensuring high-quality data and consistency across systems.
- Data Platform Enablement: Design data models that leverage the capabilities of data platforms (cloud, on-premises, hybrid) to enable real-time, scalable, and reliable business insights.
- Integration & ETL Design: Collaborate on ETL (Extract, Transform, Load) strategies and data integration, ensuring the smooth flow of data across systems and its readiness for analysis and reporting.
- Continuous Improvement: Monitor and optimize existing data models for performance and maintainability, ensuring they evolve to meet the changing needs of the business.
Other
- Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field. Master’s degree is a plus.
- Proven experience (5+ years) as a Data Modeler or in a similar data-related role.
- Ability to collaborate effectively with technical and non-technical stakeholders, including business users and IT teams.
- Excellent communication and documentation skills.
- Analytical Thinking: Ability to analyze complex data requirements and translate them into clear data model structures.
- Collaboration: Strong teamwork skills, working effectively with cross-functional teams including business analysts, architects, and developers.
- Problem Solving: Proactive in identifying and resolving data modeling challenges.
- Business Acumen: Deep understanding of how data and business processes are intertwined and contribute to organizational success.
