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.
•t 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
•nalyzing 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
Data Flows data-quality Data Analyst statistics mathematics Computer Science Data Architect remote work Communication data governance Information technology (IT) data-integration er-modeling ETL Data systems Data Modeler