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Position: Sr. Systems Analyst with Data Modeling

Location: Houston, TX

Duration: 4 Months 

Rate: $55/Hr Best

 

F2F may be required after telephonic. Submit only if able to attend on your own 
expenses.

 

Description: 

Must have good understanding of information systems with a specific focus on 
data modeling techniques and be able to communicate knowledge of same to 
co-workers effectively. Must be adaptable to change and able to interact with 
co-workers and customers in a positive manner, as well as communicate in an 
effective manner. 

1. Requirements Gathering: 


Participate and / or performs a lead role in the gathering, review, 
interpretation of functional requirements and translate these into IT 
requirements. Develops and manages relationships with the business and 
technical users/liaisons to ensure strategic use of the institutions data 
assets. Provide problem solving expertise including the formulation and testing 
of hypothesis, and the complex analysis of data. 

2. Data Model Development: 


Uses industry standard data modeling tools, best practices and techniques 
including UML to design and develop relational data models (conceptual, logical 
and physical). Establish/enforce enterprise information architecture standards 
through the development of data models, Data flow diagrams, CRUD diagrams and 
specifications for data integrity and referential integrity. Reviews completed 
data models using data model scorecards to ensure quality and integrity of the 
models and alignment with institutional goals of developing an enterprise data 
model and / or information exchange model. 

3. Metadata Management: 


Assist with development of business naming standards, consistent data 
definitions, data aliases and documenting the business rules of the enterprise. 
Ensures the business metadata definition of all data attributes and entities 
are electronically catalogued in the metadata repository and that the data 
asset metadata is accurate and available to those who need it. Actively 
participates in the identification of data and solution patterns as well as 
taxonomies. 

4. Enterprise Data Management: 


Develops policies and procedures for the creation of an Enterprise Data 
Management Framework and systems interoperability including mapping artifacts 
to a data architecture framework and managing data/message requirements in an 
Enterprise Application Integration environment. Assist in the development and 
enforcement of Data Governance, Data Stewardship and Data Quality standards, 
policies and procedures. Publish architectural documents - 
Development/enforcement of procedures to convert enterprise assets to 
information assets from a Knowledge Management standpoint. 

ENVIRONMENT/SOFTWARE TOOLS: 


The institution data repositories supported by the DMAS department accommodates 
data warehousing, data integration, data management, on-line analytical 
processing, decision support, reporting, forecasting, and economic modeling of 
financial, operational, clinical and research information. 

Client/Server: Data modeling tools Any industry standard enterprise data 
modeling software; 

Metadata Management tools; 

RDBMS -Oracle, Sybase, SQL, MS SQL; 

SOA infrastructure; 

Message-level EAI; 

Business Intelligence and Data Warehousing technologies. 
PC/Networks: MS Excel, MS Word, MS PowerPoint, Lotus Notes, Novell NetWare, 
EDI, HTML, XML, and other Internet technologies. 



EDUCATION: 

 

Bachelors degree with a major in computer science, management information 
systems, or related field. 

Required: 

 

Ten years of system analysis and design experience with at least seven years of 
data modeling and enterprise data management experience. 


Experience in a healthcare industry. 

 

Preferred: 

 

Knowledge of healthcare data models and standards including HL7, CDISC and 
caBIG.




Thanks,

Angela
Account Manager
Data Group Inc
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