MACHINE LEARNING TECHNOLOGIES LLC
Data Modeler with a healthcare Overview
| Company Name | MACHINE LEARNING TECHNOLOGIES LLC |
| Job Role | Data Modeler with a healthcare |
| Qualifications | Not specified |
| Category | I |
| Job Type | Full Time |
| Location | Weehawken, NJ, United States |
- Home
- About
- Adaptive AI
- Industries
- Consulting
- Jobs Portal
- Contact Us
- Home
- About
- Adaptive AI
- Industries
- Consulting
- Jobs Portal
- Contact Us
Job Description
Job Overview
- Job ID:
J54140
- Job Title:
Data Modeler with a healthcare
- Location:
Weehawken, NJ
- Duration:
10 Months + Extension
- Domain Exposure:
Pharmaceuticals
- Client:
To Be Discussed Later
- Employment Type:
W-2, 1099, C2C
- Work Authorization:
US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other
View All Jobs
Similar Jobs
- Data Analyst – Albany, NY
- Data Engineer – Plano, TX
- Data Scientist – Fort Worth, TX
- Data Architect – Atlanta, GA
- Data Engineer – Fortway ne, IN
Job Title: Data Modeler with a healthcare
Location: Weehawken, NJ
Duration: 10 Months + Extension
Bill Rate: $78/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other
Job Description
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.
Required Qualifications
- Hands-on experience in data modeling for data warehouse, reporting, and analytics solutions.
- Experience with ERwin Data Modeler, ER/Studio, or comparable enterprise data modeling tools.
- Healthcare domain experience, preferably in Revenue Cycle Analytics.
- Strong SQL skills for data profiling, analysis, reconciliation, and validation.
- Strong understanding of conceptual, logical, physical, and dimensional data modeling.
- Experience with fact/dimension modeling, data relationships, keys, granularity, and historical data management.
- Ability to translate business requirements into data models, source-to-target mappings, and technical specifications.
- Strong communication skills with experience working directly with business stakeholders, analysts, and engineering teams.
- Ability to work independently and deliver within defined timelines..
Apply Now
Equal Opportunity Employer
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.
- Home
|
- About
|
- Adaptive AI
|
- Industries
|
- Consulting
|
- Contact Us
© 2004-2026, Machine Learning Technologies LLC, or its affiliates
Visa Sponsorship May be
To apply for this job please visit www.linkedin.com.
