Data Modeler

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