Data Modeller at Discovery Limited

Key Purpose

• The Data Modeler designs, maintains, and ensures the accuracy of all logical and physical data models. They have knowledge of all stages of the data life cycle and guide modeling from conceptual to physical models, identifying key business entities and their relationships.
• They collaborate with the data architect and business team to identify essential data elements and entities, addressing current and future business needs.

Areas of responsibility may include but not limited to

• Possess strong attention to detail and ability to work with various clients, including executive and operational teams
• Communicate and collaborate with teams to action requirements and deliver the required data solutions
• Collaborate with the Data Architect to provide robust data solutions to stakeholders
• Interact with systems analysts, architects, developers, and development managers to understand source structures and information
• Build effective relationships with key stakeholders
• Transform business requirements into data models
• Conduct data analysis and data profiling
• Document data models and metadata
• Perform thorough testing of data models using SQL and other methods
• Provide support to development team members and analysts
• Document business attributes allowed within data
• Manage timelines, communication, and feedback to all stakeholders
• Recommend new solutions and enhancements to existing implementations
• Have prior experience working in an agile, fast-paced team environment
• Coordinate quality assurance and user acceptance testing (Unit and UAT)

Personal Attributes and Skills

• Proficient in oral and written communication.
• Capable of presenting models and data flows.
• Intermediate skill level in SQL.
• Experienced in gathering and documenting technical requirements.
• Experienced in writing source-to-target maps.
• Familiar with entity-relationship diagrams, normalized and de-normalized structures.
• Effective planning, organizational, and time management skills.
• Knowledgeable in data modeling of the Data Warehouse (Kimball and/or Inmon methodologies).
• Ability to work with Big Data technologies such as Azure, GCP, Databricks.
• Understanding of modern data practices like data lake and medallion architecture.

Education and Experience

• 3+ years in Business Intelligence
• 1+ year as a Data Modeler in a corporate setting
• BCOM Informatics or BSC Computer Science, or equivalent
• Business Intelligence certifications beneficial
• Knowledge of cloud-based data solutions (e.g., AWS, Azure)
• Experience with data modeling tools is advantageous