Data Modeler
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Responsibilities
- Analyze and develop complex logical data models and relational data definitions.
- Understand and depict the flow of data between technology systems and business operations.
- Identify and resolve information flow and content issues.
- Transform business requirements into logical data models.
- Identify opportunities to reduce data redundancy and trends in data usage.
- Design logical data models of low to medium complexity.
- Work on small to large, complex projects as a team member or project lead.
- Coach and mentor more junior technical staff.
Requirements
- Bachelor's Degree in Computer Science, Information Systems, or related field, or equivalent work experience.
- Minimum 4 years of IT work experience in data modeling, data analysis, and relational DBMS design.
- Experience supporting projects in multiple technical environments.
- Proven ability to work on complex projects, independently and as part of a team.
- #L1-Onsite
Benefits
Additional Information
Launch Your Career with Cook Systems Since 1990, Cook Systems -a certified veteran-owned IT consulting firm-has been helping businesses and professionals grow through innovation, integrity, and investment in people. We partner with Fortune 500 enterprises and high-growth companies alike to deliver agile technology solutions, AI-driven talent strategies, and our signature FastTrack program that develops the next generation of tech talent. At Cook, you'll find a culture that values excellence, creativity, and accountability. We believe in opportunity backed by trust-and in building careers that last. Check out what our team members have to say on our Glassdoor page, and discover why Cook Systems is where meaningful careers take off! Summary: Responsible for analyzing and developing complex logical database designs and data models, supporting corporate and customer information system requirements. The role involves understanding data flow methodologies within technology systems and business functions, resolving information flow issues, and transforming business requirements into logical data models.
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