Data Modeler-Chicago or Remote - Georgia IT Inc.
Chicago, IL
About the Job
Position: Data Modeler
Location: Chicago or Remote
Duration: 12 Months
Rate: DOE
• Bachelor's degree in computer science, information technology or a similar major is required.
• At least 3 to 5 years of hands-on experience with physical and relational data modeling.
• Solid understanding of dimensional data modeling and ER-Modeling
• Extensive knowledge of/experience with data integration, data quality, multi-dimensional design, and ETL tools, processes, and methodology
• Work with the data architect and data analyst to translate business requirements into conceptual, logical, and physical data models
• Analyzing and translating business needs into long-term solution data models. Consider Exact, Transform and Load (ETL) and Reporting challenges in designing data models.
• Implementing data strategies and developing physical data models.
• Working with the development team to create conceptual data models and data flows.
• Evaluating existing data systems.
• Reviewing modifications of existing systems for cross-compatibility.
• Review the data model with both technical and business audiences as well as Data Governance
• Updating and optimizing local and metadata models.
• Developing best practices for data coding to ensure consistency within the system.
• Knowledge of mathematical foundations and statistical analysis.
• Excellent communication skills with the ability to facilitate interaction between developers, analysts, and business staff
Location: Chicago or Remote
Duration: 12 Months
Rate: DOE
• Bachelor's degree in computer science, information technology or a similar major is required.
• At least 3 to 5 years of hands-on experience with physical and relational data modeling.
• Solid understanding of dimensional data modeling and ER-Modeling
• Extensive knowledge of/experience with data integration, data quality, multi-dimensional design, and ETL tools, processes, and methodology
• Work with the data architect and data analyst to translate business requirements into conceptual, logical, and physical data models
• Analyzing and translating business needs into long-term solution data models. Consider Exact, Transform and Load (ETL) and Reporting challenges in designing data models.
• Implementing data strategies and developing physical data models.
• Working with the development team to create conceptual data models and data flows.
• Evaluating existing data systems.
• Reviewing modifications of existing systems for cross-compatibility.
• Review the data model with both technical and business audiences as well as Data Governance
• Updating and optimizing local and metadata models.
• Developing best practices for data coding to ensure consistency within the system.
• Knowledge of mathematical foundations and statistical analysis.
• Excellent communication skills with the ability to facilitate interaction between developers, analysts, and business staff
Source : Georgia IT Inc.