Data Modeler
Listed on 2026-10-23
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IT/Tech
Data Analyst, Data Engineering, Business Systems & Technology Analysis
• Client, analyze, and scope data requirements; create high-level process models to represent processes for the area under analysis.
• Analyze existing business system data, data profiling, and source analysis.
• Create detailed mapping documents covering source to target mapping, transformation logic, and harmonization.
• Design Data Architecture and Strategy; employ "Entity-Relationship" modeling with the intent of producing a design best suited for retrospective analysis of data.
• Determine the right set of facts and surrounding dimensions suited to perform the desired type of analysis or queries against the data.
• Arrive at data solution diagrams including data flow diagrams, use case models, etc.
• Skilled in analyzing existing business system data, data profiling, and source analysis.
• Expert using SQL.
• Experts in understanding business needs to translate those needs into an effective model.
• Expert in Entity-Relationship modeling, with specific expertise in Star/Snowflake Schema modeling.
• Experience implementing IBM UDMH Model - Atomic or Dimensional Model.
• Exposure to one or more enterprise-level modeling tools, IDA, ERWin, ER-Studio, etc.
• Healthcare Domain Knowledge is a must; exposure to HL7, FHIR, OMOP will be a plus.
• Advanced understanding of data normalization and denormalization techniques.
• Expert in Metadata management and tools.
• Advanced experience in Master Data management/systems and Reference Data management/systems.
• Advanced experience with modeling process creation and implementation.
• Experts in understanding business needs to translate those needs into an effective model.
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