Data Modeller (x3)

London, Greater London, England
Job Type:
Digital Workspace
Job reference:
about 1 month ago

Role title: Data Modeller
Duration: initial 3-6 months contract
Daily Rate: £450- £600
Location: Central London

In the RDP programme opportunities have opened for an experienced Data/Business analysts to gather requirements, understand data, work with SME's & platform and data architects to migrate data from existing on-premises application and into a new cloud based Enterprise Data Platform. As part of this migration the team are taking the opportunity to resolve issues, identify opportunities, simplify the architecture and develop a target-state logical data model

As an Data Analysts/Modeller work within programme to understand the data, the data requirements, entities, attributes, relationship, timelines, priorities etc. and then come back to the data architects who extend the LDM to meet the requirements.


  • Prior experience with least 5 years having worked on large data migration programmes
  • Full lifecycle experience from project inception, feasibility, design - through to project delivery
  • Good understanding of financial reference and/or market reference data.
  • Understanding of UML and or logical data models is essential for this role
  • Understanding of RDBMS's and proficiency with SQL
  • Stakeholder Management experience and skills - able to converse with all levels of stakeholders to understand and extract the required business requirements
  • Problem solving skills
  • Excellent oral and written communication skills
  • Collaborative approach
  • Organise 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
  • Content On-boarding


  • Document data requirements
  • List of attributes, entities and relationships within scope of project
  • Data dictionary definitions
  • List of problems and issues in the current architecture


  • Analysis to identify data requirements, attributes, entities and relationships, gather data dictionary definitions,
  • Understand problems and issues in the current architecture
  • Work closely with SME's and data architects
  • Analyse the actual data itself
  • Organise meetings and take notes of the analysis
  • Act as the interface between data architects, SME and content experts
  • Work with minimum supervision.
  • Follow up on questions raised by data architects
  • Read and understand data models
  • Able to work comfortably with granular levels of detail
  • Able to Prioritise workloads
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