Data Modeler, Client Data Chapter

3 weeks ago


Singapore Bank of Singapore Full time
Main Responsibilities

We are seeking a highly skilled Data Modeler to join our Client Data Chapter team at Bank of Singapore. As a key member of our data-driven initiatives, you will be responsible for designing and implementing data models that support our organization's strategic goals.

Key Duties:
  • Develop and maintain complex data models for business data analysis and reporting purposes.
  • Collaborate with stakeholders and cross-functional teams to understand data requirements and design Client Data models that align with business needs.
  • Evaluate and recommend data modelling tools and technologies to improve efficiency and accuracy of data modelling processes.
  • Create and maintain data dictionaries and metadata repositories to ensure consistency and integrity of data models.
  • Identify and resolve data model performance issues to optimize database performance and enhance overall system functionality.
  • Document and communicate data model designs and standards to ensure understanding and compliance across the organization.
  • Stay current with industry best practices and trends in data modelling and incorporate new techniques and methodologies into our client data modelling processes.
  • Ensure appropriate and confidential handling/sharing of sensitive client data.
  • Identify red flags and escalate in line with policy and procedures.
  • Ensure timely follow-up and/or escalation to stakeholders.
  • Responsible for completing delegated and ad-hoc tasks within established timeframes.
Requirements

To be successful in this role, you will need to possess the following qualifications and skills:

  • Bachelor's or master's degree in computer/data science or related experience.
  • Strong understanding of SQL and data modelling concepts.
  • Proficiency in data modelling tools such as Erwin or PowerDesigner.
  • Experience in designing and implementing database structures.
  • Ability to create and maintain conceptual, logical, and physical data models.
  • Familiarity with data warehousing and ETL processes.
  • Knowledge of industry best practices for data modelling and database design.
  • Ability to collaborate with cross-functional teams to gather and analyse data requirements.
  • Experience in performance tuning and optimization of database queries.
  • Strong analytical and problem-solving skills.
  • Clear communicator, with the ability to articulate ideas with data.
  • Fine eye for detail with the ability to work with structured and unstructured data, including internal and external data.
  • Experience with operating in a corporate environment and stakeholder management.
  • Prior exposure to wealth management, asset management, or portfolio management is a plus.
  • Strong results-driven personality with an innovative spirit.


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