Senior Data Modeller - Cape Town at IQbusiness

KRIs:

• Data Modelling: Design and develop conceptual, logical, and physical data models to support the organization's data requirements and business objectives.
• Database Design: Work closely with database administrators and developers to translate business requirements into database structures, ensuring optimal performance and scalability.
• Data Analysis: Collaborate with business stakeholders to understand data needs, analyze data requirements, and identify opportunities for data-driven insights and improvements.
• Data Governance: Establish and enforce data governance policies, standards, and best practices to ensure data quality, consistency, security, and compliance with regulatory requirements.
• Documentation: Document data models, data dictionaries, and metadata definitions to facilitate understanding, usage, and maintenance of the organization's data assets.
• Data Integration: Integrate data models with various data sources, systems, and applications to enable seamless data flow and interoperability across the organization.
• Data Architecture: Contribute to the development and implementation of data architecture strategies, roadmaps, and initiatives to support the organization's long-term data management goals.
• Collaboration: Collaborate with cross-functional teams, including business analysts, software engineers, and data scientists, to support data-driven decision-making and achieve business objectives.
• Continuous Learning: Stay abreast of industry trends, emerging technologies, and best practices in data modeling, database management, and data analytics to drive innovation and excellence in data management practices.
• Problem Solving: Identify and resolve data-related issues, challenges, and bottlenecks in a timely and effective manner to ensure the reliability, availability, and usability of the organization's data assets.

Requirements

• This is a senior position, requiring about 8+ years relevant experience in a large-scale data environment (e.g. retail, financial services, telecom, banking or similar)
• Technical domain competency
• Experience in Data Management role with understanding of data, risk, data architecture, data governance, data analysis, data validation and metadata management.
• Experience using related regulatory/governance standards to provide high quality data having planned, implemented, integrated and controlled activities/processes to ensure availability, usability, integrity, compliance and security of data.
• Sound knowledge and understanding of data life cycle. Operational execution of data/metric standards and data quality rules.
• Understanding of and experience with root cause analysis and problem-solving skills and awareness of the Data Product Life Cycle (DPLC) & Agile methodologies.
• Extensive experience with Data Analysis, Data Integrity, Data Modelling, Data Warehouse layers and Metadata Qualifications
• Bachelor’s Degree in Computer Science or similar fields like Information Systems, Big Data, etc would be advantageous.
• AWS Data Engineer Certification would be advantageous
• Related Technical certifications
• Knowledge of Agile methodologies and project management practices, including Scrum, Kanban, and Lean
• Excellent communication, collaboration, and problem-solving
• Ability to work independently and in a team environment in an Agile framework
• Strong analytical and critical thinking skill