Data Modeler

Roles and responsibilities

• Assist in the design and development of conceptual, logical, and physical data models for various business applications.
• Work with data architects and senior data modelers to translate business requirements into data structures and models.
• Collaborate with stakeholders across departments to gather requirements and understand data needs.
• Maintain and update data models as per the evolving business requirements and technology landscape.
• Participate in data model reviews and validation processes to ensure models meet organizational data governance and quality standards.
• Document data model definitions, relationships, and business rules.
• Contribute to data integration processes, ensuring data accuracy and consistency across systems.
• Assist in performance tuning and optimization of data models for query efficiency.
• Support the implementation of data management best practices, including data governance, security, and privacy policies.
• Stay up-to-date with industry trends and tools related to data modeling and database management.
• Analyzing and translating business needs into long-term solution data models.
• Evaluating existing data systems.
• Working with the development team to create conceptual data models and data flows.
• Developing best practices for data coding to ensure consistency within the system.
• Reviewing modifications of existing systems for cross-compatibility.
• Implementing data strategies and developing physical data models.
• Updating and optimizing local and metadata models.
• Evaluating implemented data systems for variances, discrepancies, and efficiency.
• Troubleshooting and optimizing data systems.

Desired candidate profile

• Bachelor's degree in computer science, information technology, or a similar field.
• 3 years of hands-on experience with physical and relational data modeling.
• Expert knowledge of metadata management and related tools.
• Knowledge of mathematical foundations and statistical analysis.
• Strong interpersonal skills.
• Experience with team management.
• Excellent communication and presentation skills.
• Advanced troubleshooting skills.
• - Strong communication, interpersonal, and presentation skills.
  
  - Ability to multi-task and work under pressure.
  
  - Excellent command of English.
  
  - Excellent verbal and written communication skills; influencing skills and ability to work effectively in a geographically dispersed team.