Data Modeler job description

Data Modeler Duties and Responsibilities

Data Modeler job description should contain a variety of functions and roles including:

Analyzing and translating business needs into long-term solution data models.
Evaluating existing data systems.
Implementing data strategies and developing physical data models.
Updating and optimizing local and metadata models.
Evaluating implemented data systems for variances, discrepancies, and efficiency.
Working with the development team to create conceptual data models and data flows.
Developing best practices for data coding to ensure consistency within the system.
Reviewing modifications of existing systems for cross-compatibility.
Troubleshooting and optimizing data systems.

Data Modeler Requirements / Skills / Qualifications

Data Modeler job description should include these common skills and qualifications:

Bachelor's degree in computer science, information technology, or a similar field.
Hands-on experience with physical and relational data modeling.
Experience with team management.
Excellent communication and presentation skills.
Advanced troubleshooting skills.
Expert knowledge of metadata management and related tools.
Knowledge of mathematical foundations and statistical analysis.
Strong interpersonal skills.

As a hiring manager, recruiting an ideal Data Modeler starts with crafting a good job description. Use this Data Modeler job description template to save yourself time and help you attract the most qualified candidates. Feel free to revise it to meet your specific needs.

Job seekers interviewing for the role of a Data Modeler may also reference it in preparation for the interview.

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