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Data Modeler

ASCII Group LLCUnited States🇺🇸United States

Why this role stands out

This remote Data Modeler role offers a fantastic opportunity to shape critical data architectures using Oracle Retail and Kafka, fostering significant career growth. You'll thrive here if you possess strong analytical skills and a passion for designing robust data solutions within a reputable company. Apply today to leverage your expertise and contribute to impactful projects!

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationUnited States
SQLReconciliation

Job description

Job Title: Data Modeler~Healthcare Domain
Location: PLEASANTON, CA/ Remote
Duration: 6 months


Seeking an experienced Data Modeler with a healthcare background to support Revenue Cycle Analytics initiatives.
The resource will partner with business stakeholders, analysts, and data engineering teams to understand reporting requirements,
assess source data, and design scalable data models that enable reliable and consistent analytics.

The ideal candidate will bring strong hands-on experience in data modeling, SQL, and data modeling tools such as ERwin,
along with a solid understanding of healthcare revenue cycle processes and the ability to translate business requirements into practical technical designs.


Roles and Responsibilities
· Partner with Revenue Cycle Analytics stakeholders to gather, clarify, and document business requirements, reporting needs, metrics, and data definitions.
· Analyze source systems, datasets, and existing reporting structures to identify data relationships, dependencies, and gaps.
· Develop and maintain conceptual, logical, and physical data models using ERwin or similar data modeling tools.
· Define entities, attributes, primary and foreign keys, relationships, data granularity, and historical tracking requirements.
· Design dimensional data models, including fact and dimension tables, to support reporting and analytical use cases.
· Develop source-to-target mappings and document transformation logic, business rules, metadata, and data lineage.
· Collaborate with data engineering teams to translate models into implementable data structures and integration workflows.
· Use SQL for data profiling, relationship validation, reconciliation, discrepancy analysis, and data quality assessment.
· Partner with business stakeholders to establish consistent definitions for revenue cycle metrics across reporting solutions.
· Support implementation validation and UAT to ensure delivered datasets meet business and reporting requirements.
· Maintain data models, data dictionaries, mapping specifications, and knowledge-transfer documentation.

Thanks and Regards,
Rahela Banu | IT Recruiter
ASCII Group, LLC
| Direct #
38345 W 10 Mile Rd, Suite 365, Farmington, MI 48335
Website:

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