Data Modeler

As a data modeler, your responsibilities will include:

• Analyzing and translating business needs to create solution data models
• Evaluating current data systems
• Working with data analysts, data architects, engineers and database administrators to design conceptual data models and data flows
• Developing ideal data coding practices to ensure consistency within the system.
• Evaluating changes to existing systems for cross-compatibility.
• Implementing data strategies and creating physical data models
• Updating and improving local and metadata models
• Assessing implemented data systems to look for variances, discrepancies, and efficiency
• Troubleshooting and optimizing data systems

Core Skills:

• Management skills
• Strong analytical and problem-solving skills to effectively design data solutions.
• Attention to detail and a commitment to delivering high-quality work.
• Excellent communication and teamwork skills to collaborate with cross-functional teams.
• Ability to manage time effectively and prioritize tasks in a dynamic work environment.

Technical skills:

• Digital logic: it is important to possess this skill to clean and organize an unstructured set of data.
• Computer architecture and organization: A solid understanding of computer architecture and organization will enable you to maximize efficiency when working with data.
• Data representation: This allows for easier gathering, manipulation, and analysis of data, which can save valuable time and money.
• Memory architecture: The most important part of memory architecture is being able to find the method that best combines speed, durability, reliability, and cost-effectiveness while not compromising the integrity of the data.
• Familiarity with Erwin modeling tool.
• Adapt to new modeling methods.
• SQL language and its implementation.

Sufficient experience using database systems: Relational Database Management Systems (RDBMS) that possess big data handling capabilities, such as the ability to quickly store and fetch data.