Data Modeller

1. Data Modeling & Design:
   • Design and maintain conceptual, logical, and physical data models to support transactional, analytical, and data warehousing systems.
   • Develop data models to ensure data consistency, integrity, and quality across multiple banking functions and applications.
   • Define and implement the best practices for data modeling, data integration, and metadata management.
2. Data Architecture Collaboration:
   • Collaborate with data architects to align models with enterprise data architecture and ensure optimal performance and scalability.
   • Work with database administrators to translate logical models into physical database structures and optimize them for performance.
3. Data Quality & Governance:
   • Establish data standards, definitions, and quality rules to ensure data accuracy, consistency, and compliance.
   • Create and maintain data dictionaries and metadata repositories to support data governance and facilitate efficient data access.
4. Stakeholder Engagement:
   • Engage with business stakeholders, data scientists, and IT teams to understand data requirements and translate business needs into robust data models.
   • Ensure data models support key business initiatives, such as regulatory reporting, analytics, and operational efficiency.
5. Documentation & Best Practices:
   • Develop and maintain detailed documentation, including data models, entity-relationship diagrams, and mapping specifications.
   • Implement data modeling standards and mentor team members to promote best practices in data management.

Requirements:

• Educational Qualification:
  • MBA / Engineering degree with relevant industry experience.
• Experience:
  • Minimum of 10 years of experience in data modeling or as a data modeler within the banking industry.
  • Proven expertise in designing data models across at least three of the following areas:
    • Data Warehousing
    • Analytics & BI
    • Data Mining & Data Quality
    • Metadata Management
• Technical Skills:
  • Proficiency in data modeling tools such as Erwin, IBM InfoSphere, or SAP PowerDesigner.
  • Strong SQL skills and experience in relational database systems like Oracle, SQL Server, or DB2.
  • Familiarity with big data technologies and NoSQL databases is a plus.
  • Knowledge of ETL processes and tools (e.g., Informatica, Talend) and experience working with BI tools (e.g., Tableau, Power BI).
  • Knowledge of SAS for analytics, data manipulation, and data management is a plus.
  • Strong understanding of data governance frameworks, data quality management, and regulatory compliance.
• Soft Skills:
  • Strong analytical and problem-solving skills, with attention to detail and accuracy.
  • Excellent communication and interpersonal skills, with the ability to translate technical data concepts for business stakeholders.
  • Proven ability to work collaboratively in a cross-functional environment and manage multiple projects.