| Remote at Remote, Remote, USA |
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| Tittle: Business Intel Data Modeler Need minimum 11 years profile State client experience mandatory Complete remote Business Intel Data Modeler - State of Wisconsin - UW Madison - Division of Information Technology (DOIT) Please find the JD below and let me know if you have any suitable candidates. Share Your Updated Resumes [email protected] Job Description Major Responsibilities Create and maintain Enterprise Analytics Platform (EAP) data models that integrate multiple source systems into a coherent, cohesive catalos of data. Some of those source systems include Oracle/Peoplesoft HR and Finance and Workday. Design, develop and maintain conceptual, logical, and physical data models. Work with analyst team to review business requirements and assess the data model needs to best fulfil those requirements. Advise on exercises like gap analyses or cost/benefit/risk analyses. Ensure data models adhere to design and security standards. Perform data profiling and analysis to ensure the quality of the data models. Collaborate with functional and technical team to integrate model metadata with consumer tools (e.g. Collibra, Tableau). Collaborate with development team to ensure models are clear and comprehensive. Provide developers with model and/or data definition language (DDL). Support EAP customers/consumers with data model walkthroughs and help queue responses. Requirements Minimum Qualifications Minimum 3 years experience as a Data Architect, Data Scientist, Data Analyst, Data Engineer, Business Intelligence (BI) Analyst, or similar role. In-depth understanding of database structure principles. Thorough understanding of data modelling principles and best practices, including expertise in both relational and dimensional modelling, with a specific focus on the AWS Redshift database. Strong proficiency in data modelling tools, with expertise in ER Studio. In-depth understanding of data warehousing concepts, data lakes, and AWS cloud- based architecture. Strong understanding of the software development lifecycle (SDLC). Familiarity with metadata management principles. Strong understanding of master and reference data management principles. Strong understanding of object-oriented design or domain-driven design. Experience gathering and analyzing data, report, and business requirements. Experience working in a team environment. Ability to communicate effectively with users with varying levels of technical vocabulary. Analytical skills. Problem-solving attitude. Preferred Qualifications Experience with higher education data and reporting; e.g. students, human resources (HR), finance, operations. Experience in AWS cloud environment. Experience in agile and/or hybrid (agile and waterfall) teams. Experience migrating legacy applications and data systems to new environments. Top Skills (3) & Years of Experience: Minimum 3 years experience as a Data Architect, Data Scientist, Data Analyst, Data Engineer, Business Intelligence (BI) Analyst, or similar role, Experience gathering and analyzing data, report, and business requirements, and understanding of data modeling principles and best practices, including expertise in both relational and dimensional modeling, with a specific focus on the AWS Redshift database. Nice to Have: Experience with higher education data and reporting; e.g. students, human resources (HR), finance, operations, Experience in AWS cloud environment, Experience in agile and/or hybrid (agile and waterfall) teams, Experience migrating legacy applications and data systems to new environments. -- Keywords: business intelligence information technology |
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| Tue Feb 20 02:14:00 UTC 2024 |