Data Modeler
11 hours ago
Role & responsibilities
Knowledge & Skills required
- Good understanding of financial reference and/or market reference data.
- Data modelling skills and a working knowledge of the difference between conceptual, logical and physical models.
- In-depth knowledge of database structures for reference data as well as methods of working for sourcing and capturing this data
- Understanding of UML and ERD for logical data models is essential for this role
- Understanding of RDBMSs and proficiency with SQL
- Experience of Sparx Systems Enterprise Architect, or other visual data modelling tools desirable but not essential
- Understanding of JSON and/or XML essential
Knowledge & Skills preferred, but not required
- Strong analytical skills with methodical and independent approach to problem solving
- Excellent verbal and written communication skills
- Eagerness to learn and collaborate with others, quick learner and able to work with little supervision
- Able to liaise across the organization, including News, Content Ops, Product Management, and Technology
- Stakeholder Management experience and skills - able to converse with all levels of stakeholders to understand and extract the required business requirements
- Excellent oral and written communication skills
- Collaborative approach
- Organize and facilitate meetings & workshops and record actions and decisions
- Exposure and understanding of different agile approaches and good working knowledge of analysis tools including Jira
Responsibilities
- Working closely with subject matter experts & data architects, analyze the data requirements & produce the Data Model
- Identify problems and issues in the current architecture
- Participate in the generation of the physical implementation of the data model
- Execute governance related activities, participating in reviews & ensuring conformance to standards
Certifications / Education
- University degree strongly preferred
Professional Experience
- At least 5 years of data modelling experience, preferably within the financial services industry working on large scale data migration programmes
- Full project lifecycle implementation experience including familiarity of agile projects
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