Lead the design of data models and collaborate with technical architects and business stakeholders to ensure that data solutions align with business objectives and drive impactful decision-making.
Compensation
Competitive salary and benefits package
Responsibilities
Lead Data Model Design
Business Process Understanding
Collaboration with Technical Architects
Data Governance
Data Platform Enablement
Requirements
Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field
Master’s degree is a plus
Nice to have: prior experience in the healthcare industry
Nice to have: experience with cloud-based data platforms (Snowflake)
Nice to have: familiarity with advanced analytics tools (Power BI, Tableau, Qlik)
Intermediate level Applications Development Programmer Analyst responsible for application systems analysis and programming activities.
Responsibilities
Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements
Identify and analyze issues, make recommendations, and implement solutions
Utilize knowledge of business processes, system processes, and industry standards to solve complex issues
Analyze information and make evaluative judgements to recommend solutions and improvements
Conduct testing and debugging, utilize script tools, and write basic code for design specifications
Requirements
Bachelor’s degree/University degree or equivalent experience
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.
Compensation
Rate: $65/hr
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.
Responsible for coding, testing, and documenting application programs of basic to moderate size and complexity.
Responsibilities
Develop new application programs from established specifications or documented requirements.
Maintain existing application programs by fixing bugs or clearing up operational deficiencies in both previously released software and software slated for future release.
Assure program, module and system integrity through thorough testing and adherence to company standards and procedures.
Work through all phases of the software development life cycle, including research, design, analysis, requirements, implementation, test automation, and maintenance.
Utilize new technologies and tools to modify products and provide integration with applications developed internally and externally.
Requirements
Bachelor’s degree in computer science, computer engineering, or comparable work experience
Data Modeler with healthcare background to support Revenue Cycle Analytics initiatives.
Compensation
Pay Rate Range: $53.03 - 56.81/hr.
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.
As a Data Modeler, a typical day involves engaging closely with various stakeholders including business representatives, data owners, end users, application designers, and data architects to design and maintain data models that align with business needs and technical requirements.
Responsibilities
Engage with stakeholders to understand data requirements
Design relational and dimensional data models
Translate business requirements into effective data models
Collaborate with technical teams to ensure models are scalable and maintainable
Facilitate communication between technical teams and business units
Software EngineerTyler Technologies
Enterprise Data Modeler / Data ArchitectSTERIS Corporation · Remote, US