Data Modeller Responsibilities:

• Develop, maintain, and manage advanced reporting, analytics, dashboards, and other BI solutions.
• Work collaboratively with both technical teams and business stakeholders to understand data needs.
• Convert business requirements into data models that are easy to understand and used by different disciplines across the company.
• Review and interpret ongoing business report requirements.
• Design, create, and optimize data models to meet business needs, including Conceptual, Logical, and Physical Data Models.
• Develop best practices for data modeling and data architecture.
• Implement data strategies and develop physical data models.
• Update existing data models and create new ones as needed.
• Analyze data sources for quality and usability.
• Document structures and types of business data.
• Liaise with the development team to implement data strategies, build data flows, and develop conceptual data models.
• Ensure all data models align with company standards and business objectives.

Qualifications:

• Bachelor’s degree in computer science, computer engineering, or a related field. A Master’s degree is a plus.
• Proven experience as a Data Modeller, Data Architect, Database Designer, or a similar role.
• Familiarity with any data modeling tools (e.g., ER/Studio, Sparx, SQL Developer Data Modeler).
• Proficiency in SQL and knowledge of at least one scripting language (e.g., Python, R).
• Strong understanding of database structure principles.
• Experience gathering and analyzing system requirements.
• Expertise in data warehousing and business intelligence platforms.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Excellent problem-solving and critical-thinking skills.

Desired Skills:

• Good interpersonal and communication skills.
• The ability to explain complex information in simple terms.
• Strong organizational and planning skills.
• Ability to work as part of a team and independently as needed.
• Comfort working in a fast-paced, deadline-driven environment.