Data Analyst

4 days ago

Telford Shropshire, United Kingdom Coforge Full time

Data Modeler

  • Design, develop, and maintain conceptual, logical, and physical data models to support business needs and objectives across various domains.
  • Collaborate with stakeholders, including business analysts, data architects, and application developers, to gather and define data requirements.
  • Create and optimize database schemas and data structures to ensure data consistency, accuracy, and integrity.
  • Implement best practices for data modeling, including normalization, de-normalization, and dimensional modeling, to support efficient data storage and retrieval.
  • Lead the design and implementation of complex data architectures for enterprise-level systems, ensuring scalability and performance.
  • Develop and maintain data dictionaries, data lineage documentation, and metadata repositories to support data governance and standardization efforts.
  • Perform data mapping and data profiling to ensure data quality and consistency across systems and environments.
  • Work closely with ETL developers to design data integration strategies, ensuring seamless data flow between source and target systems.
  • Utilize data modeling tools such as Erwin, PowerDesigner, or similar to create, modify, and maintain data models and data flow diagrams.
  • Provide guidance and mentorship to junior data modelers and data engineers, promoting best practices and methodologies.
  • Ensure compliance with data governance policies, industry standards, and regulatory requirements for data management and privacy.
  • Support data migration efforts by creating detailed data mapping and transformation rules between legacy and target systems.
  • Experience in modeling for various databases, including relational (SQL Server, Oracle, MySQL) and NoSQL (MongoDB, Cassandra) systems.
  • Collaborate with BI and reporting teams to ensure data models support advanced analytics, reporting, and visualization needs.
  • Analyze and optimize existing data models and database performance, identifying bottlenecks and making recommendations for improvement.
  • Maintain detailed documentation of data models, schemas, and changes to ensure transparency and future scalability.

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