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- Data Modeling: Design and develop data models to support business reporting, analytics, and data visualization requirements.
- Collaboration: Collaborate with business stakeholders and IT teams to understand data requirements and translate them into conceptual, logical, and physical data models.
- Data Analysis: Analyze existing data structures, data sources, and business processes to identify opportunities for data model optimization and improvement.
- Data Governance: Develop and maintain data dictionaries, metadata repositories, and data lineage documentation to ensure data integrity and governance.
- Standards and Best Practices: Implement best practices and standards for data modeling, database design, and data management across the organization.
- Integration: Work closely with database administrators, data engineers, and developers to ensure seamless integration and implementation of data models.
- Data Quality: Perform data profiling, data cleansing, and data quality assessments to ensure accuracy, completeness, and consistency of data.
- Mentorship: Provide technical guidance and support to junior data modelers and analysts, including mentoring and knowledge sharing.
- Professional Development: Stay abreast of industry trends, emerging technologies, and best practices in data modeling, database design, and data management.
- Education: Bachelor's degree in Computer Science, Information Technology, or related field.
- Experience: Minimum of 8 years of experience in data modeling, database design, and data management.
- Proven Track Record: Proven track record of designing and implementing complex data models for enterprise-level applications and systems.
- Data Modeling Knowledge: Strong understanding of relational database concepts, dimensional modeling principles, and data warehousing architectures.
- Data Modeling Tools: Proficiency in data modeling tools such as Erwin, ER/Studio, or equivalent.
- Database Platforms: Hands-on experience with SQL, PL/SQL, and database platforms (e.g., Oracle, SQL Server, PostgreSQL).
- Cloud-Based Technologies: Experience with cloud-based data platforms and technologies (e.g., AWS, Azure, Google Cloud Platform) is highly desirable.
- Skill Set: Excellent analytical and problem-solving skills with the ability to analyze complex data requirements and translate them into effective data models.
- Communication Skills: Strong communication and interpersonal skills with the ability to collaborate effectively with cross-functional teams and stakeholders.
- Work Environment: Demonstrated ability to work independently, manage multiple priorities, and deliver high-quality results in a dynamic and fast-paced environment.
Senior Data Modeler - Johannesburg - Boardroom Appointments
1 week ago

Description
**Senior Data Modeler Role**
We are seeking a highly skilled Senior Data Modeler to play a crucial role in our organization's data management and analytics function. This position involves designing, implementing, and maintaining data models to support business reporting, analytics, and decision-making processes.
Responsibilities:
Requirements:
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