Data Modeler

4 weeks ago


Cleveland, United States Apex Systems Full time

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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