Data Analyst

Description We are looking for a Data Analyst to join a healthcare organization in Morristown, New Jersey. This Long-term Contract position will focus on shaping scalable data structures that support analytics, reporting, and enterprise data initiatives. The role works closely with technical and business teams to turn complex information needs into well-organized, high-performing data solutions. This opportunity is ideal for someone who is detail oriented, brings strong data modeling expertise, and can contribute in a regulated environment.

Responsibilities:

• Create and refine conceptual, logical, and physical data models across relational, dimensional, and non-relational platforms.
• Produce and maintain entity relationship diagrams, data flow artifacts, and supporting documentation that align with organizational standards.
• Work alongside engineers, architects, and analysts to ensure data designs enable reliable ingestion, transformation, and reporting processes.
• Convert business needs into efficient database structures that support performance, scalability, and long-term usability.
• Review model designs for consistency and quality while promoting sound modeling practices across the team.
• Maintain metadata, business definitions, lineage details, and data dictionaries to improve transparency and governance.
• Support warehouse and mart design by developing schemas suited for analytics and downstream reporting needs.
• Investigate and address issues related to data integrity, duplication, and quality through thoughtful structural design.
• Contribute to governance and cataloging efforts that improve standardization and enterprise data management.
• Deliver modeling outputs within an Agile framework, partnering with teams through iterative sprint cycles. Requirements
• At least 7 years of experience in data modeling, data architecture, or a similar data-focused discipline.
• Advanced knowledge of modeling platforms such as Erwin, ER/Studio, or dbt.
• Hands-on experience with relational databases including SQL Server, Oracle, or PostgreSQL, along with exposure to modern cloud data environments.
• Strong understanding of dimensional modeling approaches such as Kimball, Inmon, or Data Vault 2.0.
• Proficiency in SQL for schema design, validation, and query tuning.
• Ability to manage priorities independently and deliver effectively in a contract-based assignment.
• Strong communication skills with the ability to explain technical data concepts to both business and technical stakeholders.
• Experience in regulated sectors such as healthcare is preferred.

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