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    Data Modeler - Cleveland, United States - Apex Systems

    Apex Systems
    Apex Systems Cleveland, United States

    3 weeks ago

    Apex Systems background
    Description

    Location: Cleveland, OH

    Length: Direct Hire, Full Time

    Requirements:

    Formal Education & Certification

    • Bachelor's Degree (or foreign equivalent) or in lieu of a degree, at least 12 years in experience in the field of Information Technology or Business (work experience or a combination of education and work experience in the field of Information Technology or Business).

    Knowledge & Experience

    • 10+ years IT or business analyst experience.
    • Excellent skills in relational, dimensional, and semantic data modeling practices.
    • Knowledge of common data modeling tools (LucidCharts, ERWIN or others).
    • Experience with data governance: business glossary, data standards, data catalog and data lineage.
    • Experience with data management: data engineering, data quality, metadata and master data management.
    • Experience establishing, maintaining and improving processes and standards.
    • Demonstrated ability to understand complex business relationships.
    • Strong ability to multi-task with several concurrent issues and projects.
    • Demonstrated ability to interact effectively with all levels of the organization.
    • Strong interpersonal, written and verbal communication skills.
    • Experience advising or mentoring others regarding data modeling and data mapping.
    • Exposure to API design and development is preferred.
    • Strong business acumen in manufacturing, sales or financial verticals is preferred.

    Responsibilities:

    • Actively engage with Enterprise Data and Insights and Enterprise Architects to define data strategies as part of an overall business strategy.
    • Ensure that data designs meet business requirements and systems goals and identify and resolve data quality and consistency issues.
    • Understands how data supports business processes and how to find gaps in data or processes and then develop strategies for improving these systems.
    • Facilitate discussions among data stewards, data custodians, architects and developers to ensure business, data and IT needs align.
    • Maintain repositories for distributing data models including the entities, relationships and attributes, the information flows and business glossary.
    • Ensures data models and artifacts are consistently delivering value by defining and measuring key indicators.
    • Facilitate meetings and follow up with resulting action items.
    • Track project deliverables and meet dedicated timelines.
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