Data Modeler
1 month ago
We are seeking a highly skilled Data Modeler to join our team at Risk Resources LLP. As a Data Modeler, you will play a crucial role in designing and maintaining data models that enable our organization to make informed business decisions based on data analysis.
Key Responsibilities- Develop and maintain conceptual, logical, and physical data models based on business requirements
- Collaborate with business stakeholders and data engineers to understand data requirements and translate them into effective data models
- Optimize and standardize data models for improved performance, scalability, and maintainability
- Perform data analysis to identify trends, patterns, and insights to enhance data modeling processes
- Ensure data models comply with data governance and security standards
- Work closely with database administrators to implement data model changes and optimizations
- Document data models, metadata, and data lineage for easy accessibility and understanding
- Participate in data architecture discussions and contribute to data strategy and roadmap development
- Collaborate with ETL developers to ensure seamless integration of data models into ETL processes
- Provide expertise and guidance on data modeling best practices and standards to the organization
- Conduct performance tuning and optimization of database queries and data retrieval processes
- Support data migration, data transformation, and data integration initiatives
- Stay updated with industry trends and emerging technologies in data modeling and database management
- Contribute to the continuous improvement of data modeling tools, processes, and methodologies
- Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
- Proven experience as a Data Modeler or in a similar role within a data-driven organization
- Proficiency in data modeling tools such as ER/Studio, ERwin, or similar tools
- Strong SQL skills for querying, analyzing, and manipulating data
- Experience in designing and optimizing relational and dimensional databases
- Understanding of data warehousing concepts and best practices
- Knowledge of ETL processes and tools for data integration
- Familiarity with data governance, data quality, and data security principles
- Ability to collaborate effectively with cross-functional teams and communicate complex data concepts to non-technical stakeholders
- Strong analytical and problem-solving skills with attention to detail
- Experience with data analysis and visualization tools such as Tableau, Power BI, or similar tools
- Knowledge of industry standards and best practices in data modeling and database design
- Excellent documentation and presentation skills to convey complex data models and concepts
- Relevant certifications in data modeling, database management, or related fields are a plus
data modeling, SQL, ETL, database design, data analysis
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