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.